Notebook Workflows¶

AcqStore includes notebook examples for users who want to load data, inspect arrays, run analysis, and view results from Python.

The notebooks are rendered in the documentation site and are not currently executed in CI.

Available notebooks¶

Load and Plot Image
Velocity Analysis
Diameter Analysis
Sum Intensity Analysis — functional reporter fluorescence (like GCaMP) from normalized line intensity
Kymograph Reference Images
Heart Rate Analysis
Heart Rate Batch Analysis
Generating a Randomized File Subset — sample a large dataset into an unbiased per-condition subset for blinded analysis workflows

AcqStore runtime code does not depend on Matplotlib. Matplotlib is included only in the documentation dependency group for examples and notebooks.

Notebook examples may use Matplotlib for simple inline plots and Plotly where interactive visualization is useful.