{ "_id": "6a198290acfb0bcc41df9bc7", "Package": "flowcatchR", "Type": "Package", "Title": "Tools to analyze in vivo microscopy imaging data focused on\ntracking flowing blood cells", "Version": "1.47.0", "Date": "2024-12-20", "Authors@R": "c(person(\"Federico\", \"Marini\", role = c(\"aut\", \"cre\"), \nemail =\"marinif@uni-mainz.de\",\ncomment = c(ORCID = '0000-0003-3252-7758')))", "Description": "flowcatchR is a set of tools to analyze in vivo microscopy\nimaging data, focused on tracking flowing blood cells. It\nguides the steps from segmentation to calculation of features,\nfiltering out particles not of interest, providing also a set\nof utilities to help checking the quality of the performed\noperations (e.g. how good the segmentation was). It allows\ninvestigating the issue of tracking flowing cells such as in\nblood vessels, to categorize the particles in flowing, rolling\nand adherent. This classification is applied in the study of\nphenomena such as hemostasis and study of thrombosis\ndevelopment. Moreover, flowcatchR presents an integrated\nworkflow solution, based on the integration with a Shiny App\nand Jupyter notebooks, which is delivered alongside the\npackage, and can enable fully reproducible bioimage analysis in\nthe R environment.", "License": "BSD_3_clause + file LICENSE", "VignetteBuilder": "knitr", "SystemRequirements": "ImageMagick", "LazyData": "true", "URL": "https://github.com/federicomarini/flowcatchR,\nhttps://federicomarini.github.io/flowcatchR/", "BugReports": "https://github.com/federicomarini/flowcatchR/issues", "biocViews": "Software, Visualization, CellBiology, Classification,\nInfrastructure, GUI, ShinyApps", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Config/pak/sysreqs": "cmake libfftw3-dev make libmagick++-dev gsfonts\nlibicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev\nlibssl-dev zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:39:57 UTC", "RemoteUrl": 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