RS-FISH: precise, interactive, fast, and scalable FISH spot detection
Authors
- E. Bahry
- L. Breimann
- M. Zouinkhi
- L. Epstein
- K. Kolyvanov
- N. Mamrak
- B. King
- Xi Long
- K.I.S. Harrington
- T. Lionnet
- S. Preibisch
Journal
- Nature Methods
Citation
- Nat Methods 19 (12): 1563-1567
Abstract
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.