Minisim

From Miniscope
Jump to: navigation, search


Active
Active
Physically-driven synthetic 1-photon miniscope data: a forward-model generator and teaching tool.

Minisim builds a miniscope recording *forward* from its physical components, the inverse of an analysis pipeline like [minian](https://github.com/miniscope/minian). Instead of recovering signals from a movie, it starts from biology and optics and produces the movie, together with the ground truth that generated it:

place neurons -> cell activity -> bleaching -> optics -> composite -> neuropil -> brain motion -> illumination profile -> vignette -> leakage -> image sensor


Each stage is a small, inspectable physical model. Because the recording is built forward, every recording ships with exact ground truth (cell locations, footprints, calcium traces, spike times, motion trajectory, per-pixel optical fields), which makes Minisim useful for:

  • Benchmarking calcium-imaging pipelines (minian, CaImAn, suite2p, ...) against known ground truth.
  • Teaching the anatomy of miniscope data: what each physical effect does to the image, via interactive notebooks.
  • Testing analysis code with reproducible, parameterized fixtures.

Full documentation: minisim.readthedocs.io: concepts, quickstart, how-to guides, and the API reference.