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FocusStack and StimServer: a new open source MATLAB toolchain for visual stimulation and analysis of two-photon calcium neuronal imaging data.
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 3395352
Author(s) Muir, Dylan R; Kampa, Björn M
Author(s) at UniBasel Muir, Dylan
Year 2014
Title FocusStack and StimServer: a new open source MATLAB toolchain for visual stimulation and analysis of two-photon calcium neuronal imaging data.
Journal Frontiers in neuroinformatics
Volume 8
Pages / Article-Number 85
Abstract Two-photon calcium imaging of neuronal responses is an increasingly accessible technology for probing population responses in cortex at single cell resolution, and with reasonable and improving temporal resolution. However, analysis of two-photon data is usually performed using ad-hoc solutions. To date, no publicly available software exists for straightforward analysis of stimulus-triggered two-photon imaging experiments. In addition, the increasing data rates of two-photon acquisition systems imply increasing cost of computing hardware required for in-memory analysis. Here we present a Matlab toolbox, FocusStack, for simple and efficient analysis of two-photon calcium imaging stacks on consumer-level hardware, with minimal memory footprint. We also present a Matlab toolbox, StimServer, for generation and sequencing of visual stimuli, designed to be triggered over a network link from a two-photon acquisition system. FocusStack is compatible out of the box with several existing two-photon acquisition systems, and is simple to adapt to arbitrary binary file formats. Analysis tools such as stack alignment for movement correction, automated cell detection and peri-stimulus time histograms are already provided, and further tools can be easily incorporated. Both packages are available as publicly-accessible source-code repositories.
Publisher Frontiers Media
ISSN/ISBN 1662-5196
edoc-URL http://edoc.unibas.ch/41442/
Full Text on edoc Available
Digital Object Identifier DOI 10.3389/fninf.2014.00085
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/25653614
ISI-Number MEDLINE:25653614
Document type (ISI) Journal Article
 
   


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