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    11/17/22 | RS-FISH: Precise, interactive, fast, and scalable FISH spot detection
    Ella Bahry , Laura Breimann , Marwan Zouinkhi , Leo Epstein , Klim Kolyvanov , Xi Long , Kyle I S Harrington , Timothée Lionnet , Stephan Preibisch
    Nature Methods. 2022 Nov 17;19(12):1563-7. doi: 10.1038/s41592-022-01669-y

    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.

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