flowcatchR: flowcatchR: analyzing time-lapse microscopy imaging, from...
In federicomarini/flowcatchR-release: Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells.
Description
A toolset to analyze in vivo microscopy imaging data focused on tracking
flowing blood cells.
Details
flowcatchR is a set of tools to analyze in vivo microscopy imaging
data, focused on tracking flowing blood cells. It guides the steps from
segmentation to calculation of features, filtering out particles not of
interest, providing also a set of utilities to help checking the quality of
the performed operations (e.g. how good the segmentation was). The main
novel contribution investigates the issue of tracking flowing cells such as
in blood vessels, to categorize the particles in flowing, rolling and
adherent. This classification is applied in the study of phenomena such as
hemostasis and study of thrombosis development.
Author(s)
Federico Marini marinif@uni-mainz.de,
Johanna Mazur mazur@uni-mainz.de,
Harald Binder binderh@uni-mainz.de, 2015
Maintainer: Federico Marini marinif@uni-mainz.de
federicomarini/flowcatchR-release documentation built on May 16, 2019, 12:14 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
A toolset to analyze in vivo microscopy imaging data focused on tracking flowing blood cells.
Details
flowcatchR is a set of tools to analyze in vivo microscopy imaging data, focused on tracking flowing blood cells. It guides the steps from segmentation to calculation of features, filtering out particles not of interest, providing also a set of utilities to help checking the quality of the performed operations (e.g. how good the segmentation was). The main novel contribution investigates the issue of tracking flowing cells such as in blood vessels, to categorize the particles in flowing, rolling and adherent. This classification is applied in the study of phenomena such as hemostasis and study of thrombosis development.
Author(s)
Federico Marini marinif@uni-mainz.de, Johanna Mazur mazur@uni-mainz.de, Harald Binder binderh@uni-mainz.de, 2015
Maintainer: Federico Marini marinif@uni-mainz.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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