DNEMO: a tool for quantification of mRNA and punctate structures in time-lapse images of single cells.

ABSTRACT:

Motivation

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.

Results

The spot detection algorithm uses the à trous wavelet transform, a computationally inexpensive method that is robust to imaging noise. By combining automated with manual spot curation in the user interface, fluorescent puncta can be carefully selected and measured against their local background to extract high-quality single-cell data. Integrated into the workflow are segmentation and spot-inspection tools that enable

SUBMITTER: Kowalczyk GJ 

PROVIDER: S-EPMC8354270 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature