@article {67774,
	title = {RS-FISH: Precise, interactive, fast, and scalable FISH spot detection},
	journal = {Nature Methods},
	volume = {19},
	year = {2022},
	month = {2022 Nov 17},
	pages = {1563-7},
	abstract = {<p>Fluorescent in-situ hybridization (FISH)-based methods are powerful tools to study molecular processes with subcellular resolution, relying on accurate identification and localization of diffraction-limited spots in microscopy images. We developed the Radial Symmetry-FISH (RS-FISH) software that accurately, robustly, and quickly detects single-molecule spots in two and three dimensions, making it applicable to several key assays, including single-molecule FISH (smFISH), spatial transcriptomics, and spatial genomics. RS-FISH allows interactive parameter tuning and scales to large sets of images as well as tera-byte sized image volumes such as entire brain scans using straight-forward distributed processing on workstations, clusters, and in the cloud.</p>
},
	doi = {10.1038/s41592-022-01669-y},
	author = {Ella Bahry and Laura Breimann and Marwan Zouinkhi and Leo Epstein and Klim Kolyvanov and Xi Long and Kyle I S Harrington and Timoth{\'e}e Lionnet and Stephan Preibisch}
}
