dNEMO: a tool for quantification of mRNA and punctate structures in time-lapse images of single cells | Zendy

Gabriel J. Kowalczyk | Zendy; J. Agustin Cruz | Zendy; Yue Guo | Zendy; Qiuhong Zhang | Zendy; Natalie Sauerwald | Zendy; Robin Lee | Zendy

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dNEMO: 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.

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