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Analysis Plugin β€” Overview

PyPI napari hub

napari-hdf5-activity is a napari plugin for analyzing activity and movement behavior from HDF5, Zarr, and AVI timelapse recordings β€” the companion to the Recording Plugin.

Key features

  •   ROI detection


    Automatic region-of-interest detection and per-animal movement quantification across the recording.

  •   Circadian analysis


    Activity over light/dark cycles, rhythm detection, and sleep-like state classification.

  •   Multiple formats


    Reads HDF5, Zarr, and AVI β€” analyze live recordings or archived data.

  •   Fast


    Multiprocessing pipeline tuned for large multi-ROI, multi-day datasets.

How it works

The analysis plugin is organized as a modular pipeline. Data sources (HDF5/Zarr image stacks and their telemetry) feed a core set of modules β€” ROI detection, activity extraction and the circadian analysis engine (ChiΒ² periodogram, FFT, cosinor, coherence). A Plot/Export module renders activity traces and periodograms and writes CSV and figure exports.

Software architecture of the napari-hdf5-activity analysis plugin

Get started

  1. Install

    pip install napari-hdf5-activity
    
  2. Follow the User Guide β€” a walkthrough of the GUI tabs.

  3. Analyze rhythms β€” see Circadian Analysis and the in-depth Extended Analysis reference.

Documentation

Note

These pages are pulled automatically from the napari-hdf5-activity repository when the site is built.