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PyJAMAS: open-source, multimodal segmentation and analysis of microscopy images
Author(s) -
Rodrigo FernándezGonzález,
Negar Balaghi,
Kelly Wang,
Ray Hawkins,
Katheryn E. Rothenberg,
Christopher McFaul,
Clara Schimmer,
Michelle Ly,
Ana Maria do Carmo,
Gordana Scepanovic,
Gonca Erdemci-Tandogan,
Veronica Castle
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab589
Subject(s) - python (programming language) , scripting language , computer science , graphical user interface , open source , segmentation , software , extensibility , mac os , image segmentation , open source software , interface (matter) , image processing , computer graphics (images) , user interface , artificial intelligence , data mining , programming language , operating system , image (mathematics) , bubble , maximum bubble pressure method

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