RS-FISH: precise, interactive, fast, and scalable FISH spot detection.
IF: 47.990
Cited by: 11


Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly software for spot detection in two- and three-dimensional images. RS-FISH offers interactive parameter tuning and readily scales to large datasets and image volumes of cleared or expanded samples using distributed processing on workstations, clusters, or the cloud. RS-FISH maintains high detection accuracy and low localization error across a wide range of signal-to-noise ratios, a key feature for single-molecule FISH, spatial transcriptomics, or spatial genomics applications.


Spatial Genomics
Spatial Transcriptomics

MeSH terms

In Situ Hybridization, Fluorescence
Coloring Agents


Bahry, Ella
Breimann, Laura
Zouinkhi, Marwan
Epstein, Leo
Kolyvanov, Klim
Mamrak, Nicholas
King, Benjamin
Long, Xi
Harrington, Kyle I S
Lionnet, Timothée
Preibisch, Stephan