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Software . 2022
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Software . 2022
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Software . 2022
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Shovamaharana/Analyse_Cytoplasmic: nuclear_condensates

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Aug 2022Publisher:Zenodo
Authors: Shovamaharana;

doi: 10.5281/zenodo.6973563 , 10.5281/zenodo.6973564

Shovamaharana/Analyse_Cytoplasmic: nuclear_condensates

Abstract

This is a Matlab Code to analyse nuclear condensate images for enrichment of respective markers. We start here with the best focussed images of the condesates and the respective images in the dapi channel. We keep all the channel files in one folder. The channel names are usually separated by '_c001.tif', '_c002.tif' or 'c:1-3.tif', 'c:2-3.tif' etc. Each filed of view opens one after another. We use the dapi channel to automatically detect the nucleus. We separate the nucleus and look for intranuclear condensates. We use a 12 pixel rim around the nucleus to calculate cytoplasmic intensity. The results are compiled in variable-"all_result1", which can be copied into an excel. Full Changelog: https://github.com/Shovamaharana/Analyse_Cytoplasmic/commits/condensate

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selected citations
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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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