autoFISH: a modular toolbox for sequential single-molecule RNA FISH experiments

Understanding the role of gene expression in cellular function and tissue organization requires spatial and quantitative detection of individual RNA molecules. Yet, the widespread adoption of automated single-molecule fluorescence in situ hybridization (smFISH) has been limited by the cost of equipment and the complexity of experimental procedures. We present autoFISH, an affordable, user-friendly platform that removes these barriers through open-source hardware components, accessible control software, and integrated analysis tools. The system demonstrates broad applicability by enabling both conventional and signal-amplified smFISH protocols and incorporates an optimized tissue-clearing method that preserves nuclear structures. Testing across multiple cell types and tissue preparations validates the system's reliability and reproducibility, offering a practical solution for scaling spatial transcriptomics research and advancing discoveries in cellular and developmental biology, while significantly reducing costs and the technical expertise required.

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Publication Details

Journal
Communications Biology
Published
2026-04-06
DOI
https://doi.org/10.1038/s42003-026-09979-z
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

autoFISH: a modular toolbox for sequential single-molecule RNA FISH experiments

Jacques Bourg, Florian Mueller, Charles Fouillade, Hugo Laporte et al.
Communications Biology
Single-cell and spatial transcriptomics
article

autoFISH: a modular toolbox for sequential single-molecule RNA FISH experiments

Jacques Bourg, Florian Mueller, Charles Fouillade, Hugo Laporte, Maria Isabella Gariboldi, Thomas Defard, Chloé Sturmach, Ayan Mallick, José-Arturo Londoño-Vallejo, Thomas Walter, Mickael Lelek, Christian Weber
article en

Abstract

Understanding the role of gene expression in cellular function and tissue organization requires spatial and quantitative detection of individual RNA molecules. Yet, the widespread adoption of automated single-molecule fluorescence in situ hybridization (smFISH) has been limited by the cost of equipment and the complexity of experimental procedures. We present autoFISH, an affordable, user-friendly platform that removes these barriers through open-source hardware components, accessible control software, and integrated analysis tools. The system demonstrates broad applicability by enabling both conventional and signal-amplified smFISH protocols and incorporates an optimized tissue-clearing method that preserves nuclear structures. Testing across multiple cell types and tissue preparations validates the system's reliability and reproducibility, offering a practical solution for scaling spatial transcriptomics research and advancing discoveries in cellular and developmental biology, while significantly reducing costs and the technical expertise required.

Communications Biology
Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Pasteur (FR), Université Paris Cité (FR), Université Paris Sciences et Lettres (FR), Essen University Hospital (DE), Institut Curie (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 21%
Single-cell and spatial transcriptomics
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