mouse_2609_150ms_control_MiCAM run 2aec1b88

Recordings / mouse_2609_150ms_control_MiCAM / Run

mouse_2609_150ms_control_MiCAM, run 2aec1b88

Status done, stage done; requested by project lead; worker local worker; started 2026-10-28 18:59 UTC, finished 2026-10-28 19:01 UTC, 147 s; signature 0187eb93

Stages

Stage	Started	Seconds
claimed	18:58:59	0.6
pipeline_check	18:59:00	23.9
baseline_rule	18:59:24	0.5
deposit_checks	18:59:24	0.2
analysis	18:59:25	7.8
render	18:59:32	58.6
persist	19:00:31	0.6
critic	19:00:32	79.0
done	19:01:51	0.1

Log

Time	Agent	Action	Detail
18:58:58	web	run queued	{"by": "project lead", "reason": "mask-rule acceptance, rerun of the recording behind 804ddd67", "recording_id": "ae77081e-a125-471f-8805-27dad0688848", "run_id": "2aec1b88-1bc3-430f-9d57-a9ddcf39928c"}
18:59:24	runs	run started	{"checked_by": "openai:gpt-5.5", "protocol_params_version": 3, "recording_id": "ae77081e-a125-471f-8805-27dad0688848", "run_id": "2aec1b88-1bc3-430f-9d57-a9ddcf39928c"}
19:00:32	runs	signature written	{"criteria": "provisional", "holds": null, "run_id": "2aec1b88-1bc3-430f-9d57-a9ddcf39928c", "signature_id": "0187eb93-2c8b-4500-b11c-9d0062c96d4a"}

Entries from the audit log for this run; new rows and stage changes arrive by realtime while the run is open (connecting).

Pipeline check

Proceed: True; parameters v3.

Field	Protocol	Recording	Severity	Detail
no mismatches

Anomaly	Severity	Effect on the Fixed Pipeline
Frame-rate provenance for a MiCAM file	warn	The run should use 977.0 Hz from the recording-row admission source, but the cited paper text refers to the custom/iDS system and 200x200 acquisition while this deposited file is labelled MiCAM and is 100x100. Frame-based protocol parameters are unchanged; any time conversion or rate interpretation should note the medium-confidence provenance.
Pre-deposit sign/conditioning	warn	The measured polarity is consistently non-inverted although Di-4-ANEPPS normally dims on depolarization, implying a sign flip or other transformation before deposit/export. The fixed pipeline orients from the measurement, so this does not by itself invalidate the run, but polarity-dependent interpretation should be cautious.
Unexplained all-negative data values	warn	All sampled values are negative integers, suggesting baseline subtraction, normalization, or other processing before deposit. The protocol can still run, but amplitudes, noise estimates, and comparisons to raw fluorescence are affected by undocumented prior processing.
Mask is not a heart segmentation	warn	The analysis mask is based only on nonzero temporal standard deviation and covers 9999/10000 pixels, so spatial maps may include non-tissue/background pixels. Analyses that require tissue-only pixels need a biological mask before interpretation.
baseline-window rule	info	The coded baseline rule passed: baseline_frames 901 is at least 2.0 times the slowest segment cycle reported by the rule, with ratio 40.955. This rule is provisional and is reported as informational only.
Rhythm detector not suitable for the expected paced period here	info	The inspector cautions that the short-cycle rhythm result used in one detector should not be used to infer physiology or frame rate for this recording. The segment rhythm report for the protocol baseline gives the analysed window and dominant cycle separately; no expected outcome is inferred.

The fixed protocol is appropriate to run as-is because the recording is a mouse-labelled public reference recording under the Luther lab mouse whole-heart optical-mapping protocol, and there are no recording facts that directly conflict with specified protocol fields. The protocol does not specify a required indicator, pixel size, frame rate, or image size, so the available recording facts do not create a blocking mismatch. The main limitations are provenance and preprocessing warnings: the working frame rate is admitted as 977.0 Hz but is supported by paper text for a different named camera/resolution, and the deposited data appear transformed before deposit. These issues affect interpretation and reporting rather than requiring parameter changes under the fixed version-3 protocol.

Inspector

This is a mouse whole-heart MiCAM optical-mapping recording from the Zenodo deposit for the open-source low-cost cardiac optical mapping system paper. Use 977.0 Hz because it is already on the recording row from admission, but note that the supporting paper quote is for 200x200 iDS acquisition while this file is 100x100 MiCAM; the observed 142.9-frame cycle is nevertheless consistent with a ~150 ms paced recording at 977 Hz. The deposited signal is not inverted by measurement—depolarization increases values—although Di-4-ANEPPS normally dims on depolarization, suggesting a pre-deposit sign flip or similar transformation. No acquisition log or detected events are available; the file also appears preprocessed/converted because all values are negative, and that specific transformation is not documented in the deposit metadata.

Measurement	Value	Method, Caveat
SNR, median (p10–p90)	15.3 (11.2–20.0)	assumes white noise; on temporally smoothed deposits noise is underestimated and SNR inflated
Mask coverage	11.1%, 1114 of 10000 px	file_variable
Polarity	blocks 4, inverted False, blocks agreeing 4, median dvdt skew 0.9510276913642883	sign of median per-pixel skew of dV/dt, baseline-corrected (121 frames)
Drift / bleaching	baseline change 29.6, vs beat amplitude 0.326, slow range 58.9, trend, Spearman 0.394	running median (205 frames) of the tissue-mean raw signal; steps from events (light, rhythm change) and depositor normalization or drift removal change or erase the baseline; bleaching cannot be separated from them here
Prior processing	negative values	deposit checks
Dominant cycle by block, frames	0–1000: 142.9, 1000–2000: 142.9

Concern	Severity	Detail
Frame-rate provenance for MiCAM file	warn	The on-record frame rate is 977.0 Hz from an admission entry quoting the paper, but the quote describes custom iDS software at 200x200 pixels, whereas this recording is a 100x100 MiCAM file. The 977 Hz value is still preferred by the required source hierarchy, and the 142.9-frame rhythm is consistent with the file label/protocol at 150 ms, but the camera/resolution mismatch should be noted.
Undocumented pre-deposit processing/sign convention	warn	All sampled values are negative (negative_frac 1.0; min -13413.0, max -25.0), so the file is not raw non-negative camera counts. The deposit metadata does not document the transformation for this file; measured polarity is nevertheless consistent across blocks, so the pipeline can orient it from measurement.
Provisional rhythm/rate references	info	The detected dominant cycle is 142.9 frames in both 1000-frame blocks; conclusions using tool reference rates or thresholds depend on provisional, not yet domain-reviewed, criteria.

Inspector report 2026-10-28 19:16 UTC, model openai:gpt-5.5, provisional. Median per-pixel SNR over the tissue mask is 15.2519519217203, with p10 11.175782496478845 and p90 20.043913618322257 over 2047 frames. The SNR method assumes white noise; if the deposit was temporally smoothed, noise would be underestimated and SNR inflated. The tissue mask contains 1114 pixels out of 10000, coverage 0.1114. It was derived from the file variable bgimage using an Otsu threshold of 2165.203125 and the largest connected component in the class with more temporal signal; there were 0 NaN pixels in frame 0. No acquisition log is present in the deposit, and the stored_events and detected_events tools returned no events for this recording. Therefore there are no logged light transitions or detected image baseline steps to interpret; any pacing interpretation comes only from the label/protocol, not from event detections. The tissue-mean slow baseline changed from -4082.009765625 to -4052.447998046875, a change of 29.561767578125, equal to 0.3261039352774519 of the beat amplitude; the slow baseline range was 58.898681640625 with Spearman trend 0.39378869681589407. The tool cautions that baseline steps, depositor normalization, or drift removal can alter this estimate, and bleaching cannot be separated here.

Range checks

Metric	Segment	Value at Run Setting	Cited Range	Status
persistent rotor tracks	all	0 count	none cited	unstable not reportable
dominant freq (Hz)	whole recording	6.532 Hz	none cited	no cited range
persistent rotors	whole recording	0 count	none cited	unstable not reportable
singularity frames fraction	whole recording	0.4852 fraction of frames	none cited	unstable not reportable
persistent rotor count max	whole recording	0 count	none cited	unstable not reportable

Compare with run 6e21b7f8

A: this run, code 0aee293 (uncommitted changes), 4 workers. B: run 6e21b7f8, 2026-10-28 18:15 UTC, code 008c2dc (uncommitted changes), 9 workers. 641 stored values differ.

File	A	B	Same	How
frames/voltage	833b285fc616	35e7b15db730	no	recorded sha256
frames/phase	bbc12dc0da05	a7f991a27014	no	recorded sha256
frames/maps	2faef5c48ac4	a5d54d086a10	no	recorded sha256
maps/activation.png	8b81398c5734	168ec49e8534	no	sha256 of the stored file
maps/dominant_frequency.png	df34950269cd	52659394f372	no	sha256 of the stored file
movie.mp4	608123	6673551	no	size in bytes only; frames not compared

Stored Value	A	B
metrics.amplitude_p99	147.62158203125	70.9804458618164
metrics.apd50_ms	22.517911975435005	4.094165813715455
metrics.apd90_ms	58.341862845445235	5.117707267144319
metrics.dominant_freq	6.531996179560649	55.98853868194843
metrics.dominant_freq_iqr[1]	6.531996179560649	297.67239732569243
metrics.mask_coverage	0.1114	0.9999
metrics.min_rotor_frames	150	17
metrics.paired_singularity_frac	0.6098226466575716	0.6829205217113166
metrics.persistent_rotor_count_max	0	43
metrics.persistent_rotor_durations	length 0	length 1118
metrics.persistent_rotor_frames_frac	0.0	1.0
metrics.persistent_rotor_lifetimes	length 0	length 1118
metrics.persistent_rotor_tracks	0	1118
metrics.persistent_rotors	0	1118
metrics.segments.whole_recording.beats.apd50_ms_median	22.517911975435005	4.094165813715455
metrics.segments.whole_recording.beats.apd90_ms_median	58.341862845445235	5.117707267144319
metrics.segments.whole_recording.beats.beats	8	63
metrics.segments.whole_recording.beats.cv_px_per_frame_median	1.5867346869992143	1.1264385868026237
metrics.segments.whole_recording.beats.global_amplitude_ratio	0.7534515895747264	2.0020047681007953
metrics.segments.whole_recording.beats.per_beat	length 8	length 63
metrics.segments.whole_recording.beats.per_beat[0].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[0].activation_spread_frames	100.0	14.0
metrics.segments.whole_recording.beats.per_beat[0].activation_spread_ms	102.35414534288638	14.329580348004093
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd50.defined_frac	0.3267504488330341	0.6431643164316432
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd50.iqr[0]	6.0	3.0
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd50.iqr[1]	38.0	7.0
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd50.median	16.0	4.0
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd90.defined_frac	0.2881508078994614	0.5549554955495549
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd90.iqr[0]	8.0	3.0
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd90.iqr[1]	44.0	8.0
metrics.segments.whole_recording.beats.per_beat[0].apd_frames.apd90.median	20.0	5.0
metrics.segments.whole_recording.beats.per_beat[0].apd_ms.apd50.iqr[0]	6.1412487205731825	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[0].apd_ms.apd50.iqr[1]	38.89457523029682	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[0].apd_ms.apd50.median	16.37666325486182	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[0].apd_ms.apd90.iqr[0]	8.18833162743091	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[0].apd_ms.apd90.iqr[1]	45.03582395087001	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[0].apd_ms.apd90.median	20.470829068577277	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[0].cv.iqr_px_per_frame[0]	0.10806597024094947	0.7806330180189278
metrics.segments.whole_recording.beats.per_beat[0].cv.iqr_px_per_frame[1]	0.23239969812160452	1.6944783713599114
metrics.segments.whole_recording.beats.per_beat[0].cv.median_px_per_frame	0.15384549373459727	1.1048364779636972
metrics.segments.whole_recording.beats.per_beat[0].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[0].cv.pixels_used	1114	9975
metrics.segments.whole_recording.beats.per_beat[0].cv.plane_fit.direction_deg	97.06386302011042	18.654676316148233
metrics.segments.whole_recording.beats.per_beat[0].cv.plane_fit.speed_px_per_frame	2.1777025260230816	232.25900999717285
metrics.segments.whole_recording.beats.per_beat[0].upstroke_frame	524	507
metrics.segments.whole_recording.beats.per_beat[0].window[0]	500	504
metrics.segments.whole_recording.beats.per_beat[0].window[1]	610	521
metrics.segments.whole_recording.beats.per_beat[1].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[1].activation_spread_frames	54.0	15.0
metrics.segments.whole_recording.beats.per_beat[1].activation_spread_ms	55.27123848515865	15.353121801432957
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd50.defined_frac	0.9685816876122083	0.6368636863686369
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd50.iqr[0]	13.0	3.0
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd50.iqr[1]	27.0	7.0
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd50.median	21.0	4.0
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd90.defined_frac	0.9649910233393177	0.5481548154815482
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd90.iqr[0]	40.0	3.0
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd90.iqr[1]	62.0	8.0
metrics.segments.whole_recording.beats.per_beat[1].apd_frames.apd90.median	57.0	5.0
metrics.segments.whole_recording.beats.per_beat[1].apd_ms.apd50.iqr[0]	13.306038894575229	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[1].apd_ms.apd50.iqr[1]	27.635619242579324	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[1].apd_ms.apd50.median	21.49437052200614	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[1].apd_ms.apd90.iqr[0]	40.941658137154555	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[1].apd_ms.apd90.iqr[1]	63.45957011258956	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[1].apd_ms.apd90.median	58.341862845445235	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[1].cv.iqr_px_per_frame[0]	0.24877999766140763	0.7723067706932504
metrics.segments.whole_recording.beats.per_beat[1].cv.iqr_px_per_frame[1]	3.0984055639581145	1.6978225489908327
metrics.segments.whole_recording.beats.per_beat[1].cv.median_px_per_frame	1.5012441896465185	1.082078460872887
metrics.segments.whole_recording.beats.per_beat[1].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[1].cv.pixels_used	1111	9972
metrics.segments.whole_recording.beats.per_beat[1].cv.plane_fit.direction_deg	-105.46115931820133	-16.72055543576628
metrics.segments.whole_recording.beats.per_beat[1].cv.plane_fit.speed_px_per_frame	1.692450978842342	429.3599796322268
metrics.segments.whole_recording.beats.per_beat[1].upstroke_frame	640	524
metrics.segments.whole_recording.beats.per_beat[1].window[0]	610	521
metrics.segments.whole_recording.beats.per_beat[1].window[1]	760	538
metrics.segments.whole_recording.beats.per_beat[2].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[2].activation_spread_frames	52.69999999999982	14.0
metrics.segments.whole_recording.beats.per_beat[2].activation_spread_ms	53.940634595700935	14.329580348004093
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd50.defined_frac	0.9730700179533214	0.6257625762576258
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd50.iqr[0]	13.0	3.0
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd50.iqr[1]	28.0	6.0
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd50.median	22.0	4.0
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd90.defined_frac	0.9694793536804309	0.5386538653865387
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd90.iqr[0]	41.0	3.0
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd90.iqr[1]	64.0	7.0
metrics.segments.whole_recording.beats.per_beat[2].apd_frames.apd90.median	58.0	5.0
metrics.segments.whole_recording.beats.per_beat[2].apd_ms.apd50.iqr[0]	13.306038894575229	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[2].apd_ms.apd50.iqr[1]	28.659160696008186	6.1412487205731825
metrics.segments.whole_recording.beats.per_beat[2].apd_ms.apd50.median	22.517911975435005	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[2].apd_ms.apd90.iqr[0]	41.96519959058342	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[2].apd_ms.apd90.iqr[1]	65.50665301944728	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[2].apd_ms.apd90.median	59.365404298874104	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[2].cv.iqr_px_per_frame[0]	0.229371886834557	0.834968705746648
metrics.segments.whole_recording.beats.per_beat[2].cv.iqr_px_per_frame[1]	3.37660584410455	1.817589341531979
metrics.segments.whole_recording.beats.per_beat[2].cv.median_px_per_frame	1.7036131904878955	1.1621270799347532
metrics.segments.whole_recording.beats.per_beat[2].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[2].cv.pixels_used	1108	9982
metrics.segments.whole_recording.beats.per_beat[2].cv.plane_fit.direction_deg	-124.9340998089325	104.97317586857272
metrics.segments.whole_recording.beats.per_beat[2].cv.plane_fit.speed_px_per_frame	0.8616456700968296	416.38972092720627
metrics.segments.whole_recording.beats.per_beat[2].upstroke_frame	790	541
metrics.segments.whole_recording.beats.per_beat[2].window[0]	760	538
metrics.segments.whole_recording.beats.per_beat[2].window[1]	908	554
metrics.segments.whole_recording.beats.per_beat[3].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[3].activation_spread_frames	82.0	15.0
metrics.segments.whole_recording.beats.per_beat[3].activation_spread_ms	83.93039918116683	15.353121801432957
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd50.defined_frac	0.9685816876122083	0.65006500650065
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd50.iqr[0]	16.0	3.0
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd50.iqr[1]	41.0	7.0
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd50.median	24.0	4.0
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd90.defined_frac	0.9443447037701975	0.5577557755775577
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd90.iqr[0]	46.75	3.0
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd90.iqr[1]	74.0	8.0
metrics.segments.whole_recording.beats.per_beat[3].apd_frames.apd90.median	60.0	5.0
metrics.segments.whole_recording.beats.per_beat[3].apd_ms.apd50.iqr[0]	16.37666325486182	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[3].apd_ms.apd50.iqr[1]	41.96519959058342	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[3].apd_ms.apd50.median	24.56499488229273	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[3].apd_ms.apd90.iqr[0]	47.85056294779938	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[3].apd_ms.apd90.iqr[1]	75.74206755373592	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[3].apd_ms.apd90.median	61.41248720573183	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[3].cv.iqr_px_per_frame[0]	0.16642311052657985	0.7870513568796261
metrics.segments.whole_recording.beats.per_beat[3].cv.iqr_px_per_frame[1]	2.9788929494506498	1.6672354504423657
metrics.segments.whole_recording.beats.per_beat[3].cv.median_px_per_frame	1.400056425370554	1.0892822782447225
metrics.segments.whole_recording.beats.per_beat[3].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[3].cv.pixels_used	1108	9975
metrics.segments.whole_recording.beats.per_beat[3].cv.plane_fit.direction_deg	-128.899343996631	60.55900272952137
metrics.segments.whole_recording.beats.per_beat[3].cv.plane_fit.speed_px_per_frame	0.6029690049378923	255.75908335197576
metrics.segments.whole_recording.beats.per_beat[3].upstroke_frame	938	557
metrics.segments.whole_recording.beats.per_beat[3].window[0]	908	554
metrics.segments.whole_recording.beats.per_beat[3].window[1]	1060	571
metrics.segments.whole_recording.beats.per_beat[4].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[4].activation_spread_frames	113.0	15.0
metrics.segments.whole_recording.beats.per_beat[4].activation_spread_ms	115.6601842374616	15.353121801432957
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd50.defined_frac	0.9326750448833034	0.6753675367536753
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd50.iqr[0]	13.0	3.0
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd50.iqr[1]	35.5	7.0
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd50.median	23.0	4.0
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd90.defined_frac	0.8456014362657092	0.5872587258725872
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd90.iqr[0]	53.0	3.0
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd90.iqr[1]	74.0	8.0
metrics.segments.whole_recording.beats.per_beat[4].apd_frames.apd90.median	60.0	5.0
metrics.segments.whole_recording.beats.per_beat[4].apd_ms.apd50.iqr[0]	13.306038894575229	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[4].apd_ms.apd50.iqr[1]	36.33572159672467	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[4].apd_ms.apd50.median	23.541453428863868	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[4].apd_ms.apd90.iqr[0]	54.247697031729786	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[4].apd_ms.apd90.iqr[1]	75.74206755373592	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[4].apd_ms.apd90.median	61.41248720573183	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[4].cv.iqr_px_per_frame[0]	0.15359310387252575	0.7922630618328967
metrics.segments.whole_recording.beats.per_beat[4].cv.iqr_px_per_frame[1]	3.0562860249583883	1.763351650977063
metrics.segments.whole_recording.beats.per_beat[4].cv.median_px_per_frame	1.5543552493330322	1.1225167646828496
metrics.segments.whole_recording.beats.per_beat[4].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[4].cv.pixels_used	1105	9969
metrics.segments.whole_recording.beats.per_beat[4].cv.plane_fit.direction_deg	-142.95475049115552	62.39544140153806
metrics.segments.whole_recording.beats.per_beat[4].cv.plane_fit.speed_px_per_frame	0.5101779622579411	191.6237323752505
metrics.segments.whole_recording.beats.per_beat[4].upstroke_frame	1090	574
metrics.segments.whole_recording.beats.per_beat[4].window[0]	1060	571
metrics.segments.whole_recording.beats.per_beat[4].window[1]	1210	588
metrics.segments.whole_recording.beats.per_beat[5].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[5].activation_spread_frames	83.0	14.0
metrics.segments.whole_recording.beats.per_beat[5].activation_spread_ms	84.9539406345957	14.329580348004093
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd50.defined_frac	0.895870736086176	0.6620662066206621
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd50.iqr[0]	13.0	3.0
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd50.iqr[1]	29.0	7.0
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd50.median	22.0	4.0
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd90.defined_frac	0.8752244165170556	0.5603560356035604
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd90.iqr[0]	42.0	3.0
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd90.iqr[1]	61.0	8.0
metrics.segments.whole_recording.beats.per_beat[5].apd_frames.apd90.median	57.0	5.0
metrics.segments.whole_recording.beats.per_beat[5].apd_ms.apd50.iqr[0]	13.306038894575229	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[5].apd_ms.apd50.iqr[1]	29.682702149437052	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[5].apd_ms.apd50.median	22.517911975435005	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[5].apd_ms.apd90.iqr[0]	42.98874104401228	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[5].apd_ms.apd90.iqr[1]	62.43602865916069	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[5].apd_ms.apd90.median	58.341862845445235	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[5].cv.iqr_px_per_frame[0]	0.1727902936014619	0.8233262932397685
metrics.segments.whole_recording.beats.per_beat[5].cv.iqr_px_per_frame[1]	3.2521273841951652	1.7865218233546334
metrics.segments.whole_recording.beats.per_beat[5].cv.median_px_per_frame	1.6191141246653964	1.1529860409659727
metrics.segments.whole_recording.beats.per_beat[5].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[5].cv.pixels_used	1108	9978
metrics.segments.whole_recording.beats.per_beat[5].cv.plane_fit.direction_deg	-117.13546570231759	-14.544770990987647
metrics.segments.whole_recording.beats.per_beat[5].cv.plane_fit.speed_px_per_frame	0.9842594760534598	195.58999211823678
metrics.segments.whole_recording.beats.per_beat[5].upstroke_frame	1240	591
metrics.segments.whole_recording.beats.per_beat[5].window[0]	1210	588
metrics.segments.whole_recording.beats.per_beat[5].window[1]	1360	604
metrics.segments.whole_recording.beats.per_beat[6].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[6].activation_spread_frames	46.34999999999991	15.0
metrics.segments.whole_recording.beats.per_beat[6].activation_spread_ms	47.441146366427745	15.353121801432957
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd50.defined_frac	0.9730700179533214	0.6510651065106511
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd50.iqr[0]	16.0	3.0
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd50.iqr[1]	33.0	7.0
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd50.median	23.0	4.0
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd90.defined_frac	0.9676840215439856	0.5644564456445644
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd90.iqr[0]	42.0	3.0
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd90.iqr[1]	62.75	8.0
metrics.segments.whole_recording.beats.per_beat[6].apd_frames.apd90.median	57.0	5.0
metrics.segments.whole_recording.beats.per_beat[6].apd_ms.apd50.iqr[0]	16.37666325486182	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[6].apd_ms.apd50.iqr[1]	33.776867963152505	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[6].apd_ms.apd50.median	23.541453428863868	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[6].apd_ms.apd90.iqr[0]	42.98874104401228	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[6].apd_ms.apd90.iqr[1]	64.2272262026612	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[6].apd_ms.apd90.median	58.341862845445235	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[6].cv.iqr_px_per_frame[0]	0.2907766136285297	0.7961407113349817
metrics.segments.whole_recording.beats.per_beat[6].cv.iqr_px_per_frame[1]	3.289218870433565	1.7143849812322807
metrics.segments.whole_recording.beats.per_beat[6].cv.median_px_per_frame	1.7610394916466179	1.108905946528932
metrics.segments.whole_recording.beats.per_beat[6].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[6].cv.pixels_used	1106	9971
metrics.segments.whole_recording.beats.per_beat[6].cv.plane_fit.direction_deg	-69.55837112966296	-46.25257059601918
metrics.segments.whole_recording.beats.per_beat[6].cv.plane_fit.speed_px_per_frame	2.977601940867358	1013.5109515554645
metrics.segments.whole_recording.beats.per_beat[6].upstroke_frame	1390	607
metrics.segments.whole_recording.beats.per_beat[6].window[0]	1360	604
metrics.segments.whole_recording.beats.per_beat[6].window[1]	1510	621
metrics.segments.whole_recording.beats.per_beat[7].activation_coverage	0.1114	0.9999
metrics.segments.whole_recording.beats.per_beat[7].activation_spread_frames	24.0	14.0
metrics.segments.whole_recording.beats.per_beat[7].activation_spread_ms	24.56499488229273	14.329580348004093
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd50.defined_frac	0.4730700179533214	0.6744674467446745
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd50.iqr[0]	7.0	3.0
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd50.iqr[1]	9.0	7.0
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd50.median	8.0	4.0
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd90.defined_frac	0.11220825852782765	0.5757575757575758
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd90.iqr[0]	8.0	3.0
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd90.iqr[1]	23.0	8.0
metrics.segments.whole_recording.beats.per_beat[7].apd_frames.apd90.median	10.0	5.0
metrics.segments.whole_recording.beats.per_beat[7].apd_ms.apd50.iqr[0]	7.1647901740020465	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[7].apd_ms.apd50.iqr[1]	9.211873080859775	7.1647901740020465
metrics.segments.whole_recording.beats.per_beat[7].apd_ms.apd50.median	8.18833162743091	4.094165813715455
metrics.segments.whole_recording.beats.per_beat[7].apd_ms.apd90.iqr[0]	8.18833162743091	3.0706243602865912
metrics.segments.whole_recording.beats.per_beat[7].apd_ms.apd90.iqr[1]	23.541453428863868	8.18833162743091
metrics.segments.whole_recording.beats.per_beat[7].apd_ms.apd90.median	10.235414534288639	5.117707267144319
metrics.segments.whole_recording.beats.per_beat[7].cv.iqr_px_per_frame[0]	0.902052556893744	0.8128936127914916
metrics.segments.whole_recording.beats.per_beat[7].cv.iqr_px_per_frame[1]	3.6112382720342717	1.808841053155044
metrics.segments.whole_recording.beats.per_beat[7].cv.median_px_per_frame	2.2704752167809796	1.1658697120389934
metrics.segments.whole_recording.beats.per_beat[7].cv.pixels_total	1114	9999
metrics.segments.whole_recording.beats.per_beat[7].cv.pixels_used	1105	9967
metrics.segments.whole_recording.beats.per_beat[7].cv.plane_fit.direction_deg	74.9927438291005	144.34792369144597
metrics.segments.whole_recording.beats.per_beat[7].cv.plane_fit.speed_px_per_frame	2.3383314256588736	444.6531273851994
metrics.segments.whole_recording.beats.per_beat[7].upstroke_frame	1540	624
metrics.segments.whole_recording.beats.per_beat[7].window[0]	1510	621
metrics.segments.whole_recording.beats.per_beat[7].window[1]	1547	637
metrics.segments.whole_recording.dominant_freq	6.531996179560649	55.98853868194843
metrics.segments.whole_recording.persistent_rotor_count_max	0	43
metrics.segments.whole_recording.persistent_rotor_durations	length 0	length 1118
metrics.segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
metrics.segments.whole_recording.persistent_rotors	0	1118
metrics.segments.whole_recording.singularity_count_max	13	374
metrics.segments.whole_recording.singularity_count_mean	1.4001910219675262	280.6867239732569
metrics.segments.whole_recording.singularity_frames_frac	0.48519579751671443	1.0
metrics.singularity_count_max	13	374
metrics.singularity_count_mean	1.4001910219675262	280.6867239732569
metrics.singularity_frames_frac	0.48519579751671443	1.0
metrics.tissue_pixels	1114	9999
metrics.tracks	337	17983
filter_params.tracking.min_frames	150	17
filter_params.window.frame_rate_source.by	project lead	project lead
filter_params.window.segment_cycles_frames.whole_recording	150	17
filter_params.window.segments[0].defined_by	admission (project lead); no comparison defined	admission (project lead); no comparison defined
sensitivity.fixed.min_rotor_frames	150	17
sensitivity.grid[0].baseline_frames	900	102
sensitivity.grid[0].persistent_rotor_tracks	0	5
sensitivity.grid[0].segments.whole_recording.persistent_rotor_count_max	0	3
sensitivity.grid[0].segments.whole_recording.persistent_rotor_durations	length 0	length 5
sensitivity.grid[0].segments.whole_recording.persistent_rotor_frames_frac	0.0	0.271251193887297
sensitivity.grid[0].segments.whole_recording.persistent_rotors	0	5
sensitivity.grid[0].segments.whole_recording.singularity_count_max	28	1626
sensitivity.grid[0].segments.whole_recording.singularity_count_mean	4.2683858643744035	1283.0267430754536
sensitivity.grid[0].segments.whole_recording.singularity_frames_frac	0.7449856733524355	1.0
sensitivity.grid[1].baseline_frames	900	102
sensitivity.grid[1].persistent_rotor_tracks	0	1161
sensitivity.grid[1].segments.whole_recording.persistent_rotor_count_max	0	48
sensitivity.grid[1].segments.whole_recording.persistent_rotor_durations	length 0	length 1161
sensitivity.grid[1].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.grid[1].segments.whole_recording.persistent_rotors	0	1161
sensitivity.grid[1].segments.whole_recording.singularity_count_max	13	397
sensitivity.grid[1].segments.whole_recording.singularity_count_mean	1.4030563514804202	297.1547277936963
sensitivity.grid[1].segments.whole_recording.singularity_frames_frac	0.48519579751671443	1.0
sensitivity.grid[2].baseline_frames	900	102
sensitivity.grid[2].persistent_rotor_tracks	0	4500
sensitivity.grid[2].segments.whole_recording.persistent_rotor_count_max	0	114
sensitivity.grid[2].segments.whole_recording.persistent_rotor_durations	length 0	length 4500
sensitivity.grid[2].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.grid[2].segments.whole_recording.persistent_rotors	0	4500
sensitivity.grid[2].segments.whole_recording.singularity_count_max	7	113
sensitivity.grid[2].segments.whole_recording.singularity_count_mean	0.34765998089780326	66.55205348615091
sensitivity.grid[2].segments.whole_recording.singularity_frames_frac	0.20248328557784145	1.0
sensitivity.grid[3].baseline_frames	450	51
sensitivity.grid[3].persistent_rotor_tracks	0	6
sensitivity.grid[3].segments.whole_recording.persistent_rotor_count_max	0	2
sensitivity.grid[3].segments.whole_recording.persistent_rotor_durations	length 0	length 6
sensitivity.grid[3].segments.whole_recording.persistent_rotor_frames_frac	0.0	0.17956064947468958
sensitivity.grid[3].segments.whole_recording.persistent_rotors	0	6
sensitivity.grid[3].segments.whole_recording.singularity_count_max	24	1717
sensitivity.grid[3].segments.whole_recording.singularity_count_mean	4.255969436485196	1387.2531041069724
sensitivity.grid[3].segments.whole_recording.singularity_frames_frac	0.7402101241642789	1.0
sensitivity.grid[4].baseline_frames	450	51
sensitivity.grid[4].persistent_rotor_tracks	0	1239
sensitivity.grid[4].segments.whole_recording.persistent_rotor_count_max	0	49
sensitivity.grid[4].segments.whole_recording.persistent_rotor_durations	length 0	length 1239
sensitivity.grid[4].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.grid[4].segments.whole_recording.persistent_rotors	0	1239
sensitivity.grid[4].segments.whole_recording.singularity_count_max	11	431
sensitivity.grid[4].segments.whole_recording.singularity_count_mean	1.3524355300859598	315.24259789875833
sensitivity.grid[4].segments.whole_recording.singularity_frames_frac	0.47277936962750716	1.0
sensitivity.grid[5].baseline_frames	450	51
sensitivity.grid[5].persistent_rotor_tracks	1	5175
sensitivity.grid[5].segments.whole_recording.persistent_rotor_count_max	1	119
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations	length 1	length 5175
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].charge	1	-1
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].core[0]	31.12	46.5
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].core[1]	42.41	4.9
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].end	1010	514
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].frames_in_segment	44	15
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].lifetime_cycles	0.29	0.88
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].lifetime_frames	44	15
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].rotation_period_frames	42.05	6.66
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].rotations	1.046	2.253
sensitivity.grid[5].segments.whole_recording.persistent_rotor_durations[0].start	967	500
sensitivity.grid[5].segments.whole_recording.persistent_rotor_frames_frac	0.04202483285577841	1.0
sensitivity.grid[5].segments.whole_recording.persistent_rotors	1	5175
sensitivity.grid[5].segments.whole_recording.singularity_count_max	7	112
sensitivity.grid[5].segments.whole_recording.singularity_count_mean	0.335243553008596	69.57402101241642
sensitivity.grid[5].segments.whole_recording.singularity_frames_frac	0.2072588347659981	1.0
sensitivity.grid[6].baseline_frames	225	26
sensitivity.grid[6].persistent_rotor_tracks	0	1
sensitivity.grid[6].segments.whole_recording.persistent_rotor_count_max	0	1
sensitivity.grid[6].segments.whole_recording.persistent_rotor_durations	length 0	length 1
sensitivity.grid[6].segments.whole_recording.persistent_rotor_frames_frac	0.0	0.015281757402101241
sensitivity.grid[6].segments.whole_recording.persistent_rotors	0	1
sensitivity.grid[6].segments.whole_recording.singularity_count_max	23	1720
sensitivity.grid[6].segments.whole_recording.singularity_count_mean	3.659025787965616	1405.5243553008595
sensitivity.grid[6].segments.whole_recording.singularity_frames_frac	0.7058261700095511	1.0
sensitivity.grid[7].baseline_frames	225	26
sensitivity.grid[7].persistent_rotor_tracks	0	1297
sensitivity.grid[7].segments.whole_recording.persistent_rotor_count_max	0	43
sensitivity.grid[7].segments.whole_recording.persistent_rotor_durations	length 0	length 1297
sensitivity.grid[7].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.grid[7].segments.whole_recording.persistent_rotors	0	1297
sensitivity.grid[7].segments.whole_recording.singularity_count_max	9	406
sensitivity.grid[7].segments.whole_recording.singularity_count_mean	1.146131805157593	313.12320916905446
sensitivity.grid[7].segments.whole_recording.singularity_frames_frac	0.4469914040114613	1.0
sensitivity.grid[8].baseline_frames	225	26
sensitivity.grid[8].persistent_rotor_tracks	0	5211
sensitivity.grid[8].segments.whole_recording.persistent_rotor_count_max	0	124
sensitivity.grid[8].segments.whole_recording.persistent_rotor_durations	length 0	length 5211
sensitivity.grid[8].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.grid[8].segments.whole_recording.persistent_rotors	0	5211
sensitivity.grid[8].segments.whole_recording.singularity_count_max	5	112
sensitivity.grid[8].segments.whole_recording.singularity_count_mean	0.282712511938873	67.44794651384909
sensitivity.grid[8].segments.whole_recording.singularity_frames_frac	0.18242597898758356	1.0
sensitivity.grid[9].persistent_rotor_tracks	1	7
sensitivity.grid[9].segments.whole_recording.persistent_rotor_count_max	1	2
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations	length 1	length 7
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].core[0]	33.33	62.23
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].core[1]	37.22	94.95
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].end	1272	650
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].frames_in_segment	28	26
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].lifetime_cycles	0.19	1.53
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].lifetime_frames	28	26
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].rotation_period_frames	27.05	10.95
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].rotations	1.035	2.374
sensitivity.grid[9].segments.whole_recording.persistent_rotor_durations[0].start	1245	625
sensitivity.grid[9].segments.whole_recording.persistent_rotor_frames_frac	0.026743075453677174	0.448901623686724
sensitivity.grid[9].segments.whole_recording.persistent_rotors	1	7
sensitivity.grid[9].segments.whole_recording.singularity_count_max	28	1449
sensitivity.grid[9].segments.whole_recording.singularity_count_mean	4.260744985673353	1222.2435530085959
sensitivity.grid[9].segments.whole_recording.singularity_frames_frac	0.7459407831900668	1.0
sensitivity.grid[10].persistent_rotor_tracks	0	1118
sensitivity.grid[10].segments.whole_recording.persistent_rotor_count_max	0	43
sensitivity.grid[10].segments.whole_recording.persistent_rotor_durations	length 0	length 1118
sensitivity.grid[10].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.grid[10].segments.whole_recording.persistent_rotors	0	1118
sensitivity.grid[10].segments.whole_recording.singularity_count_max	13	374
sensitivity.grid[10].segments.whole_recording.singularity_count_mean	1.4001910219675262	280.6867239732569
sensitivity.grid[10].segments.whole_recording.singularity_frames_frac	0.48519579751671443	1.0
sensitivity.grid[11].persistent_rotor_tracks	0	3969
sensitivity.grid[11].segments.whole_recording.persistent_rotor_count_max	0	118
sensitivity.grid[11].segments.whole_recording.persistent_rotor_durations	length 0	length 3969
sensitivity.grid[11].segments.whole_recording.persistent_rotor_frames_frac	0.0	0.9990448901623686
sensitivity.grid[11].segments.whole_recording.persistent_rotors	0	3969
sensitivity.grid[11].segments.whole_recording.singularity_count_max	7	111
sensitivity.grid[11].segments.whole_recording.singularity_count_mean	0.35052531041069723	60.90066857688634
sensitivity.grid[11].segments.whole_recording.singularity_frames_frac	0.2034383954154728	1.0
sensitivity.trackers[0].persistent_rotor_tracks	0	327
sensitivity.trackers[0].segments.whole_recording.persistent_rotor_count_max	0	10
sensitivity.trackers[0].segments.whole_recording.persistent_rotor_durations	length 0	length 327
sensitivity.trackers[0].segments.whole_recording.persistent_rotor_frames_frac	0.0	0.9054441260744985
sensitivity.trackers[0].segments.whole_recording.persistent_rotors	0	327
sensitivity.trackers[0].segments.whole_recording.singularity_count_max	13	374
sensitivity.trackers[0].segments.whole_recording.singularity_count_mean	1.4001910219675262	280.6867239732569
sensitivity.trackers[0].segments.whole_recording.singularity_frames_frac	0.48519579751671443	1.0
sensitivity.trackers[1].persistent_rotor_tracks	0	1118
sensitivity.trackers[1].segments.whole_recording.persistent_rotor_count_max	0	43
sensitivity.trackers[1].segments.whole_recording.persistent_rotor_durations	length 0	length 1118
sensitivity.trackers[1].segments.whole_recording.persistent_rotor_frames_frac	0.0	1.0
sensitivity.trackers[1].segments.whole_recording.persistent_rotors	0	1118
sensitivity.trackers[1].segments.whole_recording.singularity_count_max	13	374
sensitivity.trackers[1].segments.whole_recording.singularity_count_mean	1.4001910219675262	280.6867239732569
sensitivity.trackers[1].segments.whole_recording.singularity_frames_frac	0.48519579751671443	1.0
sensitivity.trackers[2].persistent_rotor_tracks	3	94
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_count_max	1	12
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations	length 3	length 94
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].core[0]	30.67	40.65
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].core[1]	45.41	18.32
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].end	1023	617
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].frames_in_segment	56	118
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].lifetime_cycles	0.37	6.94
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].lifetime_frames	56	118
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].rotation_period_frames	47.02	34.26
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].rotations	1.191	3.444
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[0].start	968	500
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].charge	1	-1
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].core[0]	31.78	8.29
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].core[1]	41.67	45.56
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].end	1117	601
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].frames_in_segment	43	102
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].lifetime_cycles	0.29	6.0
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].lifetime_frames	43	102
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].rotation_period_frames	29.8	6.87
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].rotations	1.443	14.841
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[1].start	1075	500
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].core[0]	33.91	28.23
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].core[1]	51.21	94.68
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].end	1210	522
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].frames_in_segment	55	23
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].lifetime_cycles	0.37	1.35
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].lifetime_frames	55	23
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].rotation_period_frames	20.97	9.52
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].rotations	2.623	2.416
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_durations[2].start	1156	500
sensitivity.trackers[2].segments.whole_recording.persistent_rotor_frames_frac	0.14708691499522444	1.0
sensitivity.trackers[2].segments.whole_recording.persistent_rotors	3	94
sensitivity.trackers[2].segments.whole_recording.singularity_count_max	13	374
sensitivity.trackers[2].segments.whole_recording.singularity_count_mean	1.4001910219675262	280.6867239732569
sensitivity.trackers[2].segments.whole_recording.singularity_frames_frac	0.48519579751671443	1.0
sensitivity.varied.baseline_frames.1.5x_cycle	225	26
sensitivity.varied.baseline_frames.3x_cycle	450	51
sensitivity.varied.baseline_frames.6x_cycle	900	102
sensitivity.varied.baseline_scaling.reference_cycle_frames	150	17
sensitivity.varied.baseline_scaling.segment_cycles_frames.whole_recording	150	17
sensitivity.varied.baseline_scaling.window_over_cycle_per_segment.1.5x_cycle.whole_recording	1.5	1.53
sensitivity.varied.baseline_scaling.window_over_cycle_per_segment.run.whole_recording	6.01	53.0
criteria_status.rules[1].values.required_min_frames	44	14
criteria_status.rules[1].values.slowest_cycle_frames	22	7
criteria_status.rules[3].description	Tissue mask from, in order: (1) NaN in frame 0 when the recording has any NaN; (2) a mask or background-image variable shipped in the file whose shape matches the frame (binary as is, an intensity image thresholded with Otsu); (3) Otsu's threshold on the mean image, the class with more temporal signal as tissue, largest connected component kept; source, coverage and threshold recorded	Tissue = not NaN in frame 0 and nonzero temporal std
criteria_status.rules[3].location	worker/voltage/io.py (tissue_mask_info, otsu_threshold, largest_component)	worker/voltage/io.py (tissue_mask)
criteria_status.rules[3].values.coverage	0.1114	[absent]
criteria_status.rules[3].values.rule	intensity variable 'bgimage' in the file, Otsu threshold 2165, class above with more temporal signal, largest connected component	not NaN in frame 0 and nonzero std
criteria_status.rules[3].values.side	above	[absent]
criteria_status.rules[3].values.source	file_variable	[absent]
criteria_status.rules[3].values.threshold	2165.203125	[absent]
criteria_status.rules[3].values.tissue_pixels	1114	9999
criteria_status.rules[3].values.variable	bgimage	[absent]
criteria_status.rules[6].values.min_frames	150	17
criteria_status.rules[8].values.baselines.1.5x_cycle	225	26
criteria_status.rules[8].values.baselines.3x_cycle	450	51
criteria_status.rules[8].values.baselines.6x_cycle	900	102
criteria_status.rules[11].values.anomalies[4]	baseline-window rule	Rhythm detector not suitable for the expected paced period here
criteria_status.rules[11].values.anomalies[5]	Rhythm detector not suitable for the expected paced period here	baseline-window rule
criteria_status.rules[13].values.unstable[0]	whole_recording.singularity_frames_frac	whole_recording.persistent_rotors
criteria_status.rules[13].values.unstable[1]	whole_recording.persistent_rotors	whole_recording.persistent_rotor_count_max
criteria_status.rules[13].values.unstable[2]	whole_recording.persistent_rotor_count_max	whole_recording.dominant_freq_hz
criteria_status.rules[14].values.measured_cycle	150	17
reportable.persistent_rotor_tracks.range_across_settings[0]	0.0	1.0
reportable.persistent_rotor_tracks.range_across_settings[1]	3.0	5211.0
reportable.whole_recording.dominant_freq_hz.checked	no_cited_range	[absent]
reportable.whole_recording.dominant_freq_hz.range_across_settings	[absent]	[55.989, 107.311]
reportable.whole_recording.dominant_freq_hz.settings	[absent]	sensitivity grid + trackers
reportable.whole_recording.dominant_freq_hz.status	[absent]	unstable, not reportable
reportable.whole_recording.dominant_freq_hz.value	6.532	[absent]
reportable.whole_recording.persistent_rotor_count_max.range_across_settings[0]	0.0	1.0
reportable.whole_recording.persistent_rotor_count_max.range_across_settings[1]	1.0	124.0
reportable.whole_recording.persistent_rotors.range_across_settings[0]	0.0	1.0
reportable.whole_recording.persistent_rotors.range_across_settings[1]	3.0	5211.0
reportable.whole_recording.singularity_frames_frac.checked	[absent]	no_cited_range
reportable.whole_recording.singularity_frames_frac.range_across_settings	[0.18242597898758356, 0.7459407831900668]	[absent]
reportable.whole_recording.singularity_frames_frac.settings	sensitivity grid + trackers	[absent]
reportable.whole_recording.singularity_frames_frac.status	unstable, not reportable	[absent]
reportable.whole_recording.singularity_frames_frac.value	[absent]	1.0
rotor_count	0	43
apd50_ms	22.517911975435005	4.094165813715455
apd90_ms	58.341862845445235	5.117707267144319
critic.checks.checks.persistent_rotor_tracks.range_across_settings[0]	0.0	1.0
critic.checks.checks.persistent_rotor_tracks.range_across_settings[1]	3.0	5211.0
critic.checks.checks.persistent_rotor_tracks.spread_frac	None	4.66
critic.checks.checks.persistent_rotor_tracks.value_at_run_setting	0	1118
critic.checks.checks.whole_recording.dominant_freq_hz.range_across_settings[0]	6.532	55.989
critic.checks.checks.whole_recording.dominant_freq_hz.range_across_settings[1]	6.532	107.311
critic.checks.checks.whole_recording.dominant_freq_hz.spread_frac	0.0	0.579
critic.checks.checks.whole_recording.dominant_freq_hz.stable	True	False
critic.checks.checks.whole_recording.dominant_freq_hz.status	no_cited_range	unstable_not_reportable
critic.checks.checks.whole_recording.dominant_freq_hz.value_at_run_setting	6.532	55.989
critic.checks.checks.whole_recording.persistent_rotor_count_max.range_across_settings[0]	0.0	1.0
critic.checks.checks.whole_recording.persistent_rotor_count_max.range_across_settings[1]	1.0	124.0
critic.checks.checks.whole_recording.persistent_rotor_count_max.spread_frac	None	2.86
critic.checks.checks.whole_recording.persistent_rotor_count_max.value_at_run_setting	0	43
critic.checks.checks.whole_recording.persistent_rotors.range_across_settings[0]	0.0	1.0
critic.checks.checks.whole_recording.persistent_rotors.range_across_settings[1]	3.0	5211.0
critic.checks.checks.whole_recording.persistent_rotors.spread_frac	None	4.66
critic.checks.checks.whole_recording.persistent_rotors.value_at_run_setting	0	1118
critic.checks.checks.whole_recording.singularity_frames_frac.range_across_settings[0]	0.18242597898758356	1.0
critic.checks.checks.whole_recording.singularity_frames_frac.range_across_settings[1]	0.7459407831900668	1.0
critic.checks.checks.whole_recording.singularity_frames_frac.spread_frac	1.176	0.0
critic.checks.checks.whole_recording.singularity_frames_frac.stable	False	True
critic.checks.checks.whole_recording.singularity_frames_frac.status	unstable_not_reportable	no_cited_range
critic.checks.checks.whole_recording.singularity_frames_frac.value_at_run_setting	0.48519579751671443	1.0
critic.checks.unstable[0]	whole_recording.singularity_frames_frac	whole_recording.persistent_rotors
critic.checks.unstable[1]	whole_recording.persistent_rotors	whole_recording.persistent_rotor_count_max
critic.checks.unstable[2]	whole_recording.persistent_rotor_count_max	whole_recording.dominant_freq_hz
critic.stability.persistent_rotor_tracks.max	3.0	5211.0
critic.stability.persistent_rotor_tracks.median	0.0	1118.0
critic.stability.persistent_rotor_tracks.min	0.0	1.0
critic.stability.persistent_rotor_tracks.spread_frac	None	4.66
critic.stability.persistent_rotor_tracks.values_grid[0]	0	5
critic.stability.persistent_rotor_tracks.values_grid[1]	0	1161
critic.stability.persistent_rotor_tracks.values_grid[2]	0	4500
critic.stability.persistent_rotor_tracks.values_grid[3]	0	6
critic.stability.persistent_rotor_tracks.values_grid[4]	0	1239
critic.stability.persistent_rotor_tracks.values_grid[5]	1	5175
critic.stability.persistent_rotor_tracks.values_grid[6]	0	1
critic.stability.persistent_rotor_tracks.values_grid[7]	0	1297
critic.stability.persistent_rotor_tracks.values_grid[8]	0	5211
critic.stability.persistent_rotor_tracks.values_grid[9]	1	7
critic.stability.persistent_rotor_tracks.values_grid[10]	0	1118
critic.stability.persistent_rotor_tracks.values_grid[11]	0	3969
critic.stability.persistent_rotor_tracks.values_trackers[0]	0	327
critic.stability.persistent_rotor_tracks.values_trackers[1]	0	1118
critic.stability.persistent_rotor_tracks.values_trackers[2]	3	94
critic.stability.whole_recording.dominant_freq_hz.max	6.532	107.311
critic.stability.whole_recording.dominant_freq_hz.median	6.532	88.6485
critic.stability.whole_recording.dominant_freq_hz.min	6.532	55.989
critic.stability.whole_recording.dominant_freq_hz.spread_frac	0.0	0.579
critic.stability.whole_recording.dominant_freq_hz.stable	True	False
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.102	[absent]	105.445
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.225	6.532	[absent]
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.26	[absent]	71.852
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.450	6.532	[absent]
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.51	[absent]	107.311
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.900	6.532	[absent]
critic.stability.whole_recording.dominant_freq_hz.values_by_baseline.901	6.532	55.989
critic.stability.whole_recording.persistent_rotor_count_max.max	1.0	124.0
critic.stability.whole_recording.persistent_rotor_count_max.median	0.0	43.0
critic.stability.whole_recording.persistent_rotor_count_max.min	0.0	1.0
critic.stability.whole_recording.persistent_rotor_count_max.spread_frac	None	2.86
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[0]	0	3
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[1]	0	48
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[2]	0	114
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[3]	0	2
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[4]	0	49
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[5]	1	119
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[6]	0	1
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[7]	0	43
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[8]	0	124
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[9]	1	2
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[10]	0	43
critic.stability.whole_recording.persistent_rotor_count_max.values_grid[11]	0	118
critic.stability.whole_recording.persistent_rotor_count_max.values_trackers[0]	0	10
critic.stability.whole_recording.persistent_rotor_count_max.values_trackers[1]	0	43
critic.stability.whole_recording.persistent_rotor_count_max.values_trackers[2]	1	12
critic.stability.whole_recording.persistent_rotor_present.stable	False	True
critic.stability.whole_recording.persistent_rotor_present.stable_across_filters	False	True
critic.stability.whole_recording.persistent_rotor_present.stable_across_trackers	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[0]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[1]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[2]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[3]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[4]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[6]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[7]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[8]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[10]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_grid[11]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_trackers[0]	False	True
critic.stability.whole_recording.persistent_rotor_present.values_trackers[1]	False	True
critic.stability.whole_recording.persistent_rotors.max	3.0	5211.0
critic.stability.whole_recording.persistent_rotors.median	0.0	1118.0
critic.stability.whole_recording.persistent_rotors.min	0.0	1.0
critic.stability.whole_recording.persistent_rotors.spread_frac	None	4.66
critic.stability.whole_recording.persistent_rotors.values_grid[0]	0	5
critic.stability.whole_recording.persistent_rotors.values_grid[1]	0	1161
critic.stability.whole_recording.persistent_rotors.values_grid[2]	0	4500
critic.stability.whole_recording.persistent_rotors.values_grid[3]	0	6
critic.stability.whole_recording.persistent_rotors.values_grid[4]	0	1239
critic.stability.whole_recording.persistent_rotors.values_grid[5]	1	5175
critic.stability.whole_recording.persistent_rotors.values_grid[6]	0	1
critic.stability.whole_recording.persistent_rotors.values_grid[7]	0	1297
critic.stability.whole_recording.persistent_rotors.values_grid[8]	0	5211
critic.stability.whole_recording.persistent_rotors.values_grid[9]	1	7
critic.stability.whole_recording.persistent_rotors.values_grid[10]	0	1118
critic.stability.whole_recording.persistent_rotors.values_grid[11]	0	3969
critic.stability.whole_recording.persistent_rotors.values_trackers[0]	0	327
critic.stability.whole_recording.persistent_rotors.values_trackers[1]	0	1118
critic.stability.whole_recording.persistent_rotors.values_trackers[2]	3	94
critic.stability.whole_recording.singularity_frames_frac.max	0.7459407831900668	1.0
critic.stability.whole_recording.singularity_frames_frac.median	0.4789875835721108	1.0
critic.stability.whole_recording.singularity_frames_frac.min	0.18242597898758356	1.0
critic.stability.whole_recording.singularity_frames_frac.spread_frac	1.176	0.0
critic.stability.whole_recording.singularity_frames_frac.stable	False	True
critic.stability.whole_recording.singularity_frames_frac.values_grid[0]	0.7449856733524355	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[1]	0.48519579751671443	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[2]	0.20248328557784145	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[3]	0.7402101241642789	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[4]	0.47277936962750716	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[5]	0.2072588347659981	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[6]	0.7058261700095511	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[7]	0.4469914040114613	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[8]	0.18242597898758356	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[9]	0.7459407831900668	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[10]	0.48519579751671443	1.0
critic.stability.whole_recording.singularity_frames_frac.values_grid[11]	0.2034383954154728	1.0
critic.persistence_variants.measured_cycle.min_frames	150	17
critic.trackers.trackers[0].persistent_rotors_by_segment.whole_recording	0	327
critic.trackers.trackers[1].persistent_rotors_by_segment.whole_recording	0	1118
critic.trackers.trackers[2].persistent_rotors_by_segment.whole_recording	3	94
critic.required_review_topics[0]	unstable:whole_recording.singularity_frames_frac	unstable:whole_recording.persistent_rotors
critic.required_review_topics[1]	unstable:whole_recording.persistent_rotors	unstable:whole_recording.persistent_rotor_count_max
critic.required_review_topics[2]	unstable:whole_recording.persistent_rotor_count_max	unstable:whole_recording.dominant_freq_hz
critic.verdict.send_back	True	False
critic.verdict.metric_statuses[1]	whole_recording.dominant_freq_hz:no_cited_range	whole_recording.dominant_freq_hz:unstable_not_reportable
critic.verdict.metric_statuses[4]	whole_recording.singularity_frames_frac:unstable_not_reportable	whole_recording.singularity_frames_frac:no_cited_range
pipeline.params.tracking.min_frames	150	17
pipeline.params.window.frame_rate_source.by	project lead	project lead
pipeline.params.window.segment_cycles_frames.whole_recording	150	17
pipeline.params.window.segments[0].defined_by	admission (project lead); no comparison defined	admission (project lead); no comparison defined
pipeline.baseline_rule.cycles.whole_recording.cycle_frames	22	7
pipeline.baseline_rule.cycles.whole_recording.interval_quartiles_frames[0]	12.0	6.0
pipeline.baseline_rule.cycles.whole_recording.interval_quartiles_frames[1]	22.25	7.0
pipeline.baseline_rule.cycles.whole_recording.interval_quartiles_frames[2]	54.0	7.0
pipeline.baseline_rule.cycles.whole_recording.pixels_agreeing_frac	0.09964093357271095	0.8584858485848584
pipeline.baseline_rule.ratio	40.955	128.714
pipeline.baseline_rule.required_min_frames	44	14
pipeline.baseline_rule.slowest_cycle_frames	22	7
pipeline.deposit_checks.measures.dv_lag1_autocorr_median	-0.022236137855436912	-0.49938253876247546
pipeline.deposit_checks.measures.neighbour_dv_corr_median	0.4009710844063593	0.06412793593881308
pipeline.check.anomalies[0].effect_on_analysis	The run should use 977.0 Hz from the recording-row admission source, but the cited paper text refers to the custom/iDS system and 200x200 acquisition while this deposited file is labelled MiCAM and is 100x100. Frame-based protocol parameters are unchanged; any time conversion or rate interpretation should note the medium-confidence provenance.	The fixed pipeline can run with the admitted working frame rate of 977.0 Hz, but the provenance is indirect for this MiCAM, 100x100 deposited file because the cited paper statement is for the custom iDS system and 200x200 acquisition. Time-based interpretation should therefore cite this caveat.
pipeline.check.anomalies[1].effect_on_analysis	The measured polarity is consistently non-inverted although Di-4-ANEPPS normally dims on depolarization, implying a sign flip or other transformation before deposit/export. The fixed pipeline orients from the measurement, so this does not by itself invalidate the run, but polarity-dependent interpretation should be cautious.	The deposited signal appears non-inverted despite the paper naming Di-4-ANEPPS, which normally dims on depolarization. The downstream pipeline orients recordings from the measurement, so this does not by itself invalidate analysis, but polarity and any sign-dependent interpretation should be treated as pre-conditioned before deposit.
pipeline.check.anomalies[2].effect_on_analysis	All sampled values are negative integers, suggesting baseline subtraction, normalization, or other processing before deposit. The protocol can still run, but amplitudes, noise estimates, and comparisons to raw fluorescence are affected by undocumented prior processing.	All sampled values are negative integers, suggesting baseline subtraction, normalization, or another file-level transformation before deposit. This means amplitude baselines and noise estimates may not reflect raw fluorescence counts, and the protocol's analysis is applied to a processed deposited array.
pipeline.check.anomalies[3].effect_on_analysis	The analysis mask is based only on nonzero temporal standard deviation and covers 9999/10000 pixels, so spatial maps may include non-tissue/background pixels. Analyses that require tissue-only pixels need a biological mask before interpretation.	The analysis mask covers nearly the whole image and is based only on nonzero temporal standard deviation, not a biological heart segmentation. Spatial maps from the fixed pipeline may include non-tissue/background pixels unless a biological mask is generated for interpretation outside this run.
pipeline.check.anomalies[4].effect_on_analysis	The coded baseline rule passed: baseline_frames 901 is at least 2.0 times the slowest segment cycle reported by the rule, with ratio 40.955. This rule is provisional and is reported as informational only.	The short dominant cycles reported by rhythm tools should not be used as physiology or for frame-rate inference because the expected paced period from the file label and paper is outside the rhythm tool's baseline-correction window; this is a reporting caveat and not a hold condition.
pipeline.check.anomalies[4].topic	baseline-window rule	Rhythm detector not suitable for the expected paced period here
pipeline.check.anomalies[5].effect_on_analysis	The inspector cautions that the short-cycle rhythm result used in one detector should not be used to infer physiology or frame rate for this recording. The segment rhythm report for the protocol baseline gives the analysed window and dominant cycle separately; no expected outcome is inferred.	The coded baseline-window rule passed: baseline_frames 901 is at least 2.0 times the slowest coded cycle, with ratio 128.714. Per policy this rule is reported only as informational and does not change proceed status here.
pipeline.check.anomalies[5].topic	Rhythm detector not suitable for the expected paced period here	baseline-window rule
pipeline.check.methods_text	Using provisional parameter set version 3 for protocol f65d786f-f194-4be2-88b8-10d3dd25d674, the provisional fixed criteria use baseline_frames=901, spatial_sigma=1.0, spatial_truncate=4.0, pad_frames=500, rotor_threshold=0.9, rotor_erode_px=3, link_px=4.0, max_gap=5, min_cycles=1.0, pair_dist_px=3.0, paired_frac=0.5, and render_step=4. The recording has 2047 frames of size 100x100; the frame rate used is 977.0 Hz from the recording-row admission source citing 10.1371/journal.pone.0259174, and the pixel size is not provided. The analysed frames are 500 to 1547 for the whole-recording analysis window, and the provisional segment definition is whole_recording from frame 0 to frame 2047, defined at admission with no detected or logged events.	Using provisional protocol f65d786f-f194-4be2-88b8-10d3dd25d674 with provisional parameter set version 3, the fixed analysis parameters were baseline_frames 901, spatial_sigma 1.0, spatial_truncate 4.0, pad_frames 500, rotor_threshold 0.9, rotor_erode_px 3, link_px 4.0, max_gap 5, min_cycles 1.0, pair_dist_px 3.0, paired_frac 0.5, and render_step 4. The recording has 2047 frames of 100 by 100 pixels in mat format; the frame rate used was 977.0 Hz from the recording-row admission entry citing 10.1371/journal.pone.0259174, and the pixel size was not available. The analysed window used for rhythm reporting was frames 500 to 1547, and the provisional segment definition was one whole_recording segment spanning frames 0 to 2047; the parameter set, segment definitions, and criteria are provisional.
pipeline.check.rationale	The fixed protocol is appropriate to run as-is because the recording is a mouse-labelled public reference recording under the Luther lab mouse whole-heart optical-mapping protocol, and there are no recording facts that directly conflict with specified protocol fields. The protocol does not specify a required indicator, pixel size, frame rate, or image size, so the available recording facts do not create a blocking mismatch. The main limitations are provenance and preprocessing warnings: the working frame rate is admitted as 977.0 Hz but is supported by paper text for a different named camera/resolution, and the deposited data appear transformed before deposit. These issues affect interpretation and reporting rather than requiring parameter changes under the fixed version-3 protocol.	The recording may be analysed under the fixed provisional mouse whole-heart protocol as it stands. The protocol does not specify a conflicting fixed indicator, pixel size, frame rate, or image size, and the admitted 977.0 Hz frame rate is the working value on record for this file, although its MiCAM-specific provenance is only medium confidence. The main limitations are not parameter mismatches but provenance and preprocessing warnings: the deposited array appears sign/conditioning transformed, all-negative, and masked nearly as the full image, so the fixed parameters can be applied but results must be interpreted as applying to the processed deposited recording rather than raw fluorescence or a tissue-only mask.
pipeline.workers	4	9
methods_text	Using provisional parameter set version 3 for protocol f65d786f-f194-4be2-88b8-10d3dd25d674, the provisional fixed criteria use baseline_frames=901, spatial_sigma=1.0, spatial_truncate=4.0, pad_frames=500, rotor_threshold=0.9, rotor_erode_px=3, link_px=4.0, max_gap=5, min_cycles=1.0, pair_dist_px=3.0, paired_frac=0.5, and render_step=4. The recording has 2047 frames of size 100x100; the frame rate used is 977.0 Hz from the recording-row admission source citing 10.1371/journal.pone.0259174, and the pixel size is not provided. The analysed frames are 500 to 1547 for the whole-recording analysis window, and the provisional segment definition is whole_recording from frame 0 to frame 2047, defined at admission with no detected or logged events.	Using provisional protocol f65d786f-f194-4be2-88b8-10d3dd25d674 with provisional parameter set version 3, the fixed analysis parameters were baseline_frames 901, spatial_sigma 1.0, spatial_truncate 4.0, pad_frames 500, rotor_threshold 0.9, rotor_erode_px 3, link_px 4.0, max_gap 5, min_cycles 1.0, pair_dist_px 3.0, paired_frac 0.5, and render_step 4. The recording has 2047 frames of 100 by 100 pixels in mat format; the frame rate used was 977.0 Hz from the recording-row admission entry citing 10.1371/journal.pone.0259174, and the pixel size was not available. The analysed window used for rhythm reporting was frames 500 to 1547, and the provisional segment definition was one whole_recording segment spanning frames 0 to 2047; the parameter set, segment definitions, and criteria are provisional.