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bioimageflow-tracking-tools

Tools for label-stack object extraction, deterministic centroid linking, track rendering, and migration metrics. Main-process dataframe tools require BioImageFlow, NumPy, pandas, and SciPy from the host; image-processing tools obtain ImageIO and scikit-image from their worker environment.

Tools

  • LabelsToObjects: converts 2D or TYX label images into source-keyed object centroid and area tables.
  • NearestNeighborLink: links adjacent-frame objects with global one-to-one distance assignment, independently per source label stack when the source key is present.
  • LapTrackLink: performs isolated LapTrack linking with gap closing and optional divisions, normalized to one-based track and lineage identifiers.
  • TrackMetrics: computes explicit duration, path length, net displacement, speed, and area summaries.
  • FilterObjects: filters object tables by area, frame, intensity, and position.
  • TracksToLabels: renders track IDs back into label stacks.
  • TrackTableValidate: validates required columns, frame order, and duplicate track frames.
  • TrackQualityMetrics: computes gap counts, duplicate assignment conflicts, and short-track fraction.

LapTrackLink exposes native split events through lineage_id, nullable parent_track_id, and generation; merges are disabled so the normalized table retains one-parent lineage semantics. The package intentionally does not expose Ultrack or btrack compatibility shims; btrack is the next candidate after this lineage contract has production use.

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Release files for bioimageflow-tracking-tools 0.3.2

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