Open AccessdNEMO: a tool for quantification of mRNA and punctate structures in time-lapse images of single cells
Author(s) -
Gabriel J. Kowalczyk,
J. Agustin Cruz,
Yue Guo,
Qiuhong Zhang,
Natalie Sauerwald,
Robin Lee
Publication year - 2020
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/btaa874
Subject(s) - workflow , computer science , software , segmentation , graphical user interface , interface (matter) , noise (video) , microscopy , computer vision , artificial intelligence , pattern recognition (psychology) , biological system , image (mathematics) , biology , physics , optics , database , bubble , maximum bubble pressure method , parallel computing , programming language
Many biological processes are regulated by single molecules and molecular assemblies within cells that are visible by microscopy as punctate features, often diffraction limited. Here, we present detecting-NEMO (dNEMO), a computational tool optimized for accurate and rapid measurement of fluorescent puncta in fixed-cell and time-lapse images.