flowcatchR: Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells
Version 1.10.0

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). It allows investigating 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. Moreover, flowcatchR presents an integrated workflow solution, based on the integration with a Shiny App and Jupyter notebooks, which is delivered alongside the package, and can enable fully reproducible bioimage analysis in the R environment.

Package details

AuthorFederico Marini [aut, cre]
Bioconductor views CellBiology Classification GUI Infrastructure Software Visualization
MaintainerFederico Marini <[email protected]>
LicenseBSD_3_clause + file LICENSE
Version1.10.0
URL https://github.com/federicomarini/flowcatchR
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("flowcatchR")

Try the flowcatchR package in your browser

Any scripts or data that you put into this service are public.

flowcatchR documentation built on May 31, 2017, 2:57 p.m.