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optimap: An open-source library for the processing of fluorescence video data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Sep 2023 English Publisher:Zenodo
Authors: Jan Lebert; Jan Christoph;

doi: 10.5281/zenodo.8336620 , 10.5281/zenodo.8336456 , 10.5281/zenodo.13922150 , 10.5281/zenodo.8361821 , 10.5281/zenodo.14963285 , 10.5281/zenodo.8336455

optimap: An open-source library for the processing of fluorescence video data

Abstract

optimap is an open-source Python toolbox for exploring, visualizing, and analyzing high-speed fluorescence imaging data with a focus on cardiac optical mapping data. It includes modules for data input/output, processing scientific video recordings, visualization, motion compensation, trace extraction, and analysis. GitHub repository: https://github.com/cardiacvision/optimap

Related Organizations
Keywords

Strain Imaging, Cardiac Mechanics, Optical Mapping, Fluorescence Imaging, Motion Tracking, Cardiac Electrophysiology, Calcium Imaging

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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