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Tracking Movement in Cell Biology

Authors: Kota, Miura;

Tracking Movement in Cell Biology

Abstract

This article is an overview of techniques for measuring movement of proteins, vesicles and cells using digital image processing. Diverse techniques have been developed during the last decade. Both strong and weak points of each technique are discussed, together with short description on the actual application. Among these techniques, the optical flow estimation technique is explained in more detail and an example of protein movement analysis is described.

Keywords

Microscopy, Video, Signal Processing, Computer-Assisted, Image Enhancement, Pattern Recognition, Automated, Motion, Protein Transport, Cell Movement, Subtraction Technique, Image Interpretation, Computer-Assisted, Animals, Humans, Algorithms

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    popularity
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    influence
    This indicator 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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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
52
Top 10%
Top 10%
Top 10%
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