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Sökning: onr:"swepub:oai:DiVA.org:uu-458303" > ImageJ and CellProf...

ImageJ and CellProfiler : Complements in Open‐Source Bioimage Analysis

Dobson, Ellen T.A. (författare)
Laboratory for Optical and Computational Instrumentation (LOCI) Center for Quantitative Cell Imaging University of Wisconsin at Madison Madison Wisconsin
Cimini, Beth (författare)
Imaging Platform Broad Institute of Harvard and MIT Cambridge Massachusetts
Klemm, Anna H (författare)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Institutionen för informationsteknologi
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Wählby, Carolina, professor, 1974- (författare)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Institutionen för informationsteknologi
Carpenter, Anne E. (författare)
Imaging Platform Broad Institute of Harvard and MIT Cambridge Massachusetts
Eliceiri, Kevin W (författare)
Laboratory for Optical and Computational Instrumentation (LOCI) Center for Quantitative Cell Imaging University of Wisconsin at Madison Madison Wisconsin;Department of Medical Physics University of Wisconsin at Madison Madison Wisconsin;Morgridge Institute for Research Madison Wisconsin
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 (creator_code:org_t)
2021-05-26
2021
Engelska.
Ingår i: Current Protocols in Microbiology. - : John Wiley & Sons. - 1934-8525 .- 1088-7423. ; 1:5
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • ImageJ and CellProfiler have long been leading open-source platforms in the field of bioimage analysis. ImageJ's traditional strength is in single-image processing and investigation, while CellProfiler is designed for building large-scale, modular analysis pipelines. Although many image analysis problems can be well solved with one or the other, using these two platforms together in a single workflow can be powerful. Here, we share two pipelines demonstrating mechanisms for productively and conveniently integrating ImageJ and CellProfiler for (1) studying cell morphology and migration via tracking, and (2) advanced stitching techniques for handling large, tiled image sets to improve segmentation. No single platform can provide all the key and most efficient functionality needed for all studies. While both programs can be and are often used separately, these pipelines demonstrate the benefits of using them together for image analysis workflows. ImageJ and CellProfiler are both committed to interoperability between their platforms, with ongoing development to improve how both are leveraged from the other

Nyckelord

Medical Laboratory Technology
Health Informatics
General Pharmacology
Toxicology and Pharmaceutics
General Immunology and Microbiology
General Biochemistry
Genetics and Molecular Biology
General Neuroscience
Bioinformatics
Bioinformatik
Bioinformatics
Bioinformatik
Computerized Image Processing
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