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25 Sep 2009 (Updated )

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

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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):

UPDATE April 2013: Fixed a bug in function "tiff_frames" affecting performance in recent versions of MATLAB.

MATLAB release MATLAB 7.7 (R2008b)
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Comments and Ratings (3)
06 Mar 2014 Sheng

Sheng (view profile)

04 Feb 2010 Matthias

The associated publication in Neuron 63, 747–760 makes this look promising. However, getting this to run based on the instructions provided in the supplementary publication is very trying for those with less than a mastery of Matlab.

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18 Jan 2010 Rob Campbell

Rob Campbell (view profile)

These functions are well presented and a lot of care has gone into the code. Well worth a look. However, I have had trouble getting this to work reliably with my data since it has tendency to identify noise as the signal.

24 Nov 2009

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

10 Apr 2013

Fixed a bug affecting performance in recent versions of MATLAB.

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