emukamel/CellSort

Toolbox for automated sorting of cellular calcium signals from optical imaging data.

https://github.com/mukamel-lab/CellSort

Version 1.4.0.0 (308 KB)
3K Downloads
(4)
25 Aug 2016

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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 (2026). emukamel/CellSort (https://github.com/mukamel-lab/CellSort), GitHub. Retrieved .

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General Information

MATLAB Release Compatibility

  • 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.