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ZENODO
Software . 2023
Data sources: Datacite
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ZENODO
Software . 2023
Data sources: Datacite
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Table of imaging analysis methods and software

Authors: Ahanonu, Biafra;

Table of imaging analysis methods and software

Abstract

Imaging analysis tools A table containing imaging analysis tools for biology and neuroscience, with a focus on calcium imaging. Up-to-date table at https://github.com/bahanonu/imaging_tools. Created by Biafra Ahanonu, PhD (HHMI Hanna Gray Fellow, Basbaum Lab, UCSF). The table can also be found at: https://bahanonu.com/brain/imaging_tools/ https://bahanonu.com/syscarut/articles/233/ Notes: I use cell extraction to refer to algorithms that perform cell segmentation and extract neural activity traces. In cases where the publication did not explicitly give the algorithm a name, made one based on the underlying method used. This table includes algorithms that simultaneously extract cell images/contours and reconstruct cell activity traces along with ones mainly focused on determining one or the other. Several calcium imaging related packages have also been included along with algorithms dealing with post-hoc handling of data or cell activity traces. Future versions of the repository will include table file (e.g. CSV) and basic LaTeX code so others can import or modify the table more easily going forward. Depending on monitor size and browser, scroll horizontally to see right-most table columns (e.g. websites/URLs). Any additional papers or algorithms that should be added or suggested updates to the table, leave a comment on the associated blog post or open an issue on the GitHub page, I want to make sure everyone’s brilliant work is acknowledged! An example calcium imaging analysis pipeline: CIAtah (https://github.com/bahanonu/ciatah).

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Keywords

FOS: Computer and information sciences, Miniscope imaging, Bioinformatics, Calcium imaging, Data analysis, Neuroscience

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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!
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