Last data update: 2014.03.03
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flowcatchR
Package: flowcatchR
Type: Package
Title: Tools to analyze in vivo microscopy imaging data focused on
tracking flowing blood cells
Version: 1.6.2
Date: 2015-10-08
Authors@R: person("Federico", "Marini", email = "marinif@uni-mainz.de",
role = c("aut", "cre"))
Maintainer: Federico Marini <marinif@uni-mainz.de>
Description: 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.
License: BSD_3_clause + file LICENSE
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, shiny
Depends: R (>= 2.10), methods, EBImage
Imports: rgl, colorRamps, abind, BiocParallel
SystemRequirements: ImageMagick
LazyData: true
URL: https://github.com/federicomarini/flowcatchR
BugReports: https://github.com/federicomarini/flowcatchR/issues
biocViews: Software, Visualization, CellBiology, Classification,
Infrastructure, GUI
NeedsCompilation: no
Packaged: 2016-05-16 04:56:52 UTC; biocbuild
Author: Federico Marini [aut, cre]
● BiocViews: CellBiology, Classification, GUI, Infrastructure, Software, Visualization
●
1 images,
48 functions,
0 datasets
●
Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'flowcatchR' ...
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'flowcatchR'
finding HTML links ... done
Frames-class html
Frames html
KinematicsFeatures-class html
KinematicsFeaturesSet-class html
LinkedParticleSet-class html
MesenteriumSubset html
ParticleSet-class html
TrajectorySet-class html
add.contours html
addParticles html
axesInfo html
candidate.platelets html
channel.Frames html
computeMSD html
crop.Frames html
finding level-2 HTML links ... done
export.Frames html
export.particles html
extractKinematics.traj html
flowcatchR html
initialize.LinkedParticleSet html
inspect.Frames html
kinematics html
length.Frames html
link.particles html
matchTrajToParticles html
normalizeFrames html
particles html
penaltyFunctionGenerator html
plot.TrajectorySet html
plot2D.TrajectorySet html
preprocess.Frames html
read.Frames html
read.particles html
repmat html
rotate.Frames html
select.Frames html
select.particles html
shinyFlow html
show-Frames-method html
show-KinematicsFeatures-method html
show-KinematicsFeaturesSet-method html
show-LinkedParticleSet-method html
show-ParticleSet-method html
show-TrajectorySet-method html
snap html
toCartesianCoords html
toPolarCoords html
trajectories html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (flowcatchR)
Making 'packages.html' ... done
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