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ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Tracking cell edge movement

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 04 May 2023Publisher:Zenodo
Authors: Velez-Ortega, A. Catalina; Frolenkov, Gregory;

doi: 10.5281/zenodo.7896132 , 10.5281/zenodo.7896131

Tracking cell edge movement

Abstract

MATLAB scripts used to quantify cell edge movements from pixel intensity profiles (obtained in each frame of time-lapse sequences along a line that was placed across the cell of interest) generated by the Linescan feature of MetaMorph software. These algorithms were originally designed for the measurements of the outer hair cell electromotility with the accuracy of ~20 nm by interpolating pixel values along each line to increase the number of points (Frolenkov, G.I. et al, Biophys J, 1997).

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selected citations
These citations are derived from selected sources.
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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