IFC-package: Tools for Imaging Flow Cytometry
In IFC: Tools for Imaging Flow Cytometry
IFC-package R Documentation
Tools for Imaging Flow Cytometry
Description
Contains several tools to treat Imaging Flow Cytometry data from ImageStream(R) and FlowSight(R) cytometers (Amnis(R) Cytek(R)). Provides an easy and simple way to read or write .fcs, .rif, .cif and .daf files. Information such as masks, features, regions and populations set within these files can be retrieved for each single cell. In addition, raw data such as images stored can also be accessed. Users, may hopefully increase their productivity thanks to dedicated functions to extract, visualize, manipulate and export IFC data.
Details
The IFC package provides several categories of functions:
- to read / write / export / visualize:
readIFC, writeIFC, ExtractFromDAF, ExportToDAF, data_to_DAF, ExtractFromXIF, ExportToXIF, ExtractFromFCS, ExportToFCS, ExportToBATCH, BatchReport, ExportToReport, ExportToGallery, ExportToNumpy, DisplayGallery, ExtractImages_toBase64, ExtractImages_toFile, ExtractImages_toMatrix, ExtractMasks_toMatrix, objectExtract, popsNetwork, plotGraph, paletteIFC, autoplot
- to transform features values
smoothLinLog, inv_smoothLinLog
- to deeply extract information from files:
getInfo, getOffsets, getIFD, getFullTag, getAborted
- dedicated to populations:
popsCopy, popsGetObjectsIds, popsNetwork, popsRename
- for adding / removing features, regions, populations:
data_add_features, data_add_regions, data_add_pops, data_rm_features, data_rm_regions, data_rm_pops
- to allow several coercion:
buildBatch, buildFeature, buildGraph, buildPopulation, buildRegion
Author(s)
Maintainer: Yohann Demont <git.demont@gmail.com>
IFC documentation built on Sept. 14, 2023, 1:08 a.m.
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| IFC-package | R Documentation |
Tools for Imaging Flow Cytometry
Description
Contains several tools to treat Imaging Flow Cytometry data from ImageStream(R) and FlowSight(R) cytometers (Amnis(R) Cytek(R)). Provides an easy and simple way to read or write .fcs, .rif, .cif and .daf files. Information such as masks, features, regions and populations set within these files can be retrieved for each single cell. In addition, raw data such as images stored can also be accessed. Users, may hopefully increase their productivity thanks to dedicated functions to extract, visualize, manipulate and export IFC data.
Details
The IFC package provides several categories of functions:
- to read / write / export / visualize:
readIFC, writeIFC, ExtractFromDAF, ExportToDAF, data_to_DAF, ExtractFromXIF, ExportToXIF, ExtractFromFCS, ExportToFCS, ExportToBATCH, BatchReport, ExportToReport, ExportToGallery, ExportToNumpy, DisplayGallery, ExtractImages_toBase64, ExtractImages_toFile, ExtractImages_toMatrix, ExtractMasks_toMatrix, objectExtract, popsNetwork, plotGraph, paletteIFC, autoplot
- to transform features values
smoothLinLog, inv_smoothLinLog
- to deeply extract information from files:
getInfo, getOffsets, getIFD, getFullTag, getAborted
- dedicated to populations:
popsCopy, popsGetObjectsIds, popsNetwork, popsRename
- for adding / removing features, regions, populations:
data_add_features, data_add_regions, data_add_pops, data_rm_features, data_rm_regions, data_rm_pops
- to allow several coercion:
buildBatch, buildFeature, buildGraph, buildPopulation, buildRegion
Author(s)
Maintainer: Yohann Demont <git.demont@gmail.com>
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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