emukamel/CellSort

Version 1.4.0.0 (308 KB) by Eran Mukamel
Toolbox for automated sorting of cellular calcium signals from optical imaging data.
5.0
(4)
3K Downloads
Updated 25 Aug 2016
View License on GitHub

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data," Neuron, 63:747 (2009): http://tinyurl.com/cellsort

Cite As

Eran Mukamel (2024). emukamel/CellSort (https://github.com/mukamel-lab/CellSort), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.4.0.0

June 2016: Fixed an inconsistency in CellsortPCA between create_tcov and
creat_xcov. In the current version, both methods agree with the previous
version of create_tcov.
1.2.0.0

Fixed a bug affecting performance in recent versions of MATLAB.
1.1.0.0

Fixed a minor typo in documentation for CellsortICA - EAM 11/24/09
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.