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Updated: Sep 28, 2025

Development of automated imaging and analysis for zebrafish chemical screens.
Published on: June 24, 2010
FISH-quant v2: a scalable and modular tool for smFISH image analysis
Arthur Imbert1,2,3, Wei Ouyang4, Adham Safieddine5
1Centre for Computational Biology (CBIO), MINES ParisTech, PSL University, 75272 Paris Cedex 06, France.
Abstract:
Regulation of RNA abundance and localization is a key step in gene expression control. Single-molecule RNA fluorescence in situ hybridization (smFISH) is a widely used single-cell-single-molecule imaging technique enabling quantitative studies of gene expression and its regulatory mechanisms. Today, these methods are applicable at a large scale, which in turn come with a need for adequate tools for data analysis and exploration. Here, we present FISH-quant v2, a highly modular tool accessible for both experts and non-experts. Our user-friendly package allows the user to segment nuclei and cells, detect isolated RNAs, decompose dense RNA clusters, quantify RNA localization patterns and visualize these results both at the single-cell level and variations within the cell population. This tool was validated and applied on large-scale smFISH image data sets, revealing diverse subcellular RNA localization patterns and a surprisingly high degree of cell-to-cell heterogeneity.

