CaImAn implements a set of essential methods required in the analysis pipeline of large scale calcium imaging data. Fast and scalable algorithms are implemented for motion correction, source extraction, spike deconvolution, and component registration across multiple days. It is suitable for both two-photon and one-photon fluorescence microscopy data. The implementation of CaImAn given here was created by NeuroCAAS developers to benchmark performance of our platform. To try out CaImAn, look at the template job provided. Data (N.01.01.zip, images_YST.zip) is provided from the CaImAn paper.
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