Skip to content
This repository was archived by the owner on Jan 21, 2024. It is now read-only.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

LBM and Mesoscopic Data Processing in Python

A very rough and dirty draft of a python translation of the Light Beads Microscopy with MAxiMuM Module: Data processing pipeline and work flow from the Vaziri Lab.

Original MATLAB code/software written by Jeffrey Demas: https://github.com/vazirilab/MAxiMuM_processing_tools

Primary Pipeline Libraries Used:

  • CaImAn
  • Suite2p
  • NormCorre

Motivation

Python offers several advantages in the world of scientific computing and data processing. Notably, powerful libraries such as CaImAn, Suite2p, and NormCorre have ceased maintaining their MATLAB versions, pivoting fully to Python implementations.

With this translation, our goal is twofold:

  • Develop a Library: Craft a robust Python library to process both LBM and general mesoscopic datasets.
  • Deep Dive into LBM: Use this as an opportunity to delve deeper and gain a comprehensive understanding of the LBM data processing pipeline.

About

Data processing pipeline for mesoscopic imaging analysis.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages