Package: flowcatchR 1.41.0

Federico Marini

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

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.

Authors:Federico Marini [aut, cre]

flowcatchR_1.41.0.tar.gz
flowcatchR_1.41.0.zip(r-4.5)flowcatchR_1.41.0.zip(r-4.4)flowcatchR_1.41.0.zip(r-4.3)
flowcatchR_1.41.0.tgz(r-4.4-any)flowcatchR_1.41.0.tgz(r-4.3-any)
flowcatchR_1.41.0.tar.gz(r-4.5-noble)flowcatchR_1.41.0.tar.gz(r-4.4-noble)
flowcatchR_1.41.0.tgz(r-4.4-emscripten)flowcatchR_1.41.0.tgz(r-4.3-emscripten)
flowcatchR.pdf |flowcatchR.html
flowcatchR/json (API)
NEWS

# Install 'flowcatchR' in R:
install.packages('flowcatchR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/federicomarini/flowcatchr/issues

Datasets:

On BioConductor:flowcatchR-1.41.0(bioc 3.21)flowcatchR-1.40.0(bioc 3.20)

softwarevisualizationcellbiologyclassificationinfrastructureguishinyappsbioconductorfluorescencemicroscopyparticlestracking

5.45 score 4 stars 8 scripts 232 downloads 1 mentions 24 exports 95 dependencies

Last updated 23 days agofrom:2124a151f4. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winNOTENov 18 2024
R-4.5-linuxNOTENov 18 2024
R-4.4-winNOTENov 18 2024
R-4.4-macNOTENov 18 2024
R-4.3-winNOTENov 18 2024
R-4.3-macNOTENov 18 2024

Exports:add.contourschannel.Framescrop.Framesexport.Framesexport.particlesFramesinspect.Frameskinematicslink.particlesmatchTrajToParticlesnormalizeFramesparticlespenaltyFunctionGeneratorplot2D.TrajectorySetpreprocess.Framesread.Framesread.particlesrotate.Framesselect.Framesselect.particlesshinyFlowshowsnaptrajectories

Dependencies:abindaskpassbase64encBHBiocGenericsBiocParallelbitopsbslibcachemclicodetoolscolorRampscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrEBImageevaluatefansifarverfastmapfftwtoolsfontawesomeformatRfsfutile.loggerfutile.optionsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjpegjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclelocfitmagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypngpromisespurrrR6rappdirsRColorBrewerRcppRCurlrlangrmarkdownsassscalesshinysnowsourcetoolsstringistringrsystibbletidyrtidyselecttifftinytexutf8vctrsviridisLitewithrxfunxtableyaml

r Biocpkg("flowcatchR"): A framework for tracking and analyzing flowing blood cells in time lapse microscopy images

Rendered fromflowcatchr_vignette.Rmdusingknitr::rmarkdownon Nov 18 2024.

Last update: 2018-09-03
Started: 2018-02-27

Readme and manuals

Help Manual

Help pageTopics
Add object contours to a 'Frames' object Creates a 'Frames' object containing raw information, combined with the segmented images and the relative trajectory under analysisadd.contours
Combines the information from a raw 'Frames' object and the corresponding preprocessed oneaddParticles
Info on the dimensions of the FOVaxesInfo
A sample 'ParticleSet' objectcandidate.platelets
Channel extraction for 'objects'channel.Frames
Calculates the Mean Squared Displacement for a trajectorycomputeMSD
Cut borders of a 'Frames' objectcrop.Frames
Exports a 'Frames' objectexport.Frames
Exports a 'ParticleSet' objectexport.particles
Calculate a set of kinematics parameters from a single trajectoryextractKinematics.traj
flowcatchR: analyzing time-lapse microscopy imaging, from detection to trackingflowcatchR-pkg
Constructor for a 'Frames' objectFrames
Frames classFrames-class
Initialize a 'ParticleSet' object for subsequent linking/trackinginitialize.LinkedParticleSet
Explore the frames of a 'Frames'inspect.Frames
Calculate a set of kinematics parameter from a 'TrajectorySet' object, or a single parameter, or from a single trajectory (all possible combinations)kinematics
KinematicsFeatures classKinematicsFeatures-class
KinematicsFeaturesSet classKinematicsFeaturesSet-class
Compute the length of render frames in a 'Frames' objectlength.Frames
Links a 'ParticleSet' objectlink.particles
LinkedParticleSet classLinkedParticleSet-class
Match trajectories to related particles.matchTrajToParticles
A sample 'Frames' objectMesenteriumSubset
Normalize the values of a 'Frames' objectnormalizeFrames
Extracts particles from the images of a 'Frames' object.particles
ParticleSet classParticleSet-class
Generate a penalty functionpenaltyFunctionGenerator
3D representation of a 'TrajectorySet' objectplot.TrajectorySet
2D projection of a 'TrajectorySet' objectplot2D.TrajectorySet
Preprocessing function for 'Frames' objectspreprocess.Frames
Constructor for a 'Frames' objectread.Frames
Constructor for a 'ParticleSet' objectread.particles
Function equivalent for MATLAB's repmat - Replicate and tile arraysrepmat
Rotates all images in a 'Frames' objectrotate.Frames
Extracts subsets of frames from a 'Frames' objectselect.Frames
Performs filtering on a 'ParticleSet' objectselect.particles
Shiny application for exploring the features and parameters provided by 'flowcatchR'shinyFlow
Display conveniently a 'Frames' objectshow,Frames-method
Displaying conveniently a 'KinematicsFeatures' objectshow,KinematicsFeatures-method
Display conveniently a 'KinematicsFeatureSet' objectshow,KinematicsFeaturesSet-method
Display conveniently a 'LinkedParticleSet' objectshow,LinkedParticleSet-method
Display conveniently a 'ParticleSet' objectshow,ParticleSet-method
Display conveniently a 'TrajectorySet' objectshow,TrajectorySet-method
Snap the features of the closest particle identifiedsnap
Converts polar coordinates to cartesian coordinatestoCartesianCoords
Converts cartesian coordinates to polar coordinatestoPolarCoords
Generate trajectoriestrajectories
TrajectorySet classTrajectorySet-class