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InteractiveResource . 2019
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Introduction to MATLAB - Image Analysis & Brownian Motion: Material for a One-Day Self-Study for Biologists

appsOther research productkeyboard_double_arrow_right InteractiveResource 07 Oct 2019Publisher:Zenodo
Authors: Nørrelykke, Simon F.;

doi: 10.5281/zenodo.3475587 , 10.5281/zenodo.3475586

Introduction to MATLAB - Image Analysis & Brownian Motion: Material for a One-Day Self-Study for Biologists

Abstract

An introduction to MATLAB for life scientists. No prior experience with programming required. Focus is on getting going quickly with examples from image analysis, then simulation of Brownian motion, and calculation of the mean-squared-displacement. Good code hygiene is emphasised throughout. m-files and example images are included. Taught at: BIAS2016 (EMBL Heidelberg) Copenhagen PhD school 2016 (Copenhagen University) BIAS2017 (EMBL Heidelberg) Copenhagen PhD school 2017 (Copenhagen University) ZIDAS2017 (ETH Zurich) NEUBIAS2018 (Szeged, Hungary) ZIDAS2018 (ETH Zurich)

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Keywords

MATLAB, image analysis, Mean-squared-displacement, Brownian motion

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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).
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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.
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