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
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom