RS-FISH: precise, interactive, fast, and scalable FISH spot detection

Author:

Bahry Ella,Breimann LauraORCID,Zouinkhi Marwan,Epstein Leo,Kolyvanov Klim,Mamrak Nicholas,King Benjamin,Long Xi,Harrington Kyle I. S.ORCID,Lionnet TimothéeORCID,Preibisch StephanORCID

Abstract

AbstractFluorescent 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.

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

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