CROCHET: a versatile pipeline for automated analysis and visual atlas creation from single-cell spatialomic data

Spatial biology technologies offer a unique opportunity to link tissue composition with function. However, analytical methods for quantifying and interpreting highly complex spatial data remain limited. We present CROCHET (ChaRacterization Of Cellular HEterogeneity in Tissues), an end-to-end analysis pipeline for construction of spatially resolved cell atlases from raw data covering millions of cells across large sample cohorts. Its modular architecture supports the integration of diverse data modalities and novel analytical methods for image processing and segmentation, spatialomics quantification and downstream analyses. With comprehensive, open-source, user-friendly, interactive, and visual analysis modules, CROCHET aims to democratize spatial omics for a broad community of users.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-03-17
DOI
https://doi.org/10.64898/2026.03.13.711472
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

CROCHET: a versatile pipeline for automated analysis and visual atlas creation from single-cell spatialomic data

Guillaume Thibault, Anil Korkut, Zeynep Dereli, John N. Weinstein et al.
bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomics
article

CROCHET: a versatile pipeline for automated analysis and visual atlas creation from single-cell spatialomic data

Guillaume Thibault, Anil Korkut, Zeynep Dereli, John N. Weinstein, Behnaz Bozorgui, Huamin Wang, Michael J Overman, Chunyu Yuan
article en

Abstract

Spatial biology technologies offer a unique opportunity to link tissue composition with function. However, analytical methods for quantifying and interpreting highly complex spatial data remain limited. We present CROCHET (ChaRacterization Of Cellular HEterogeneity in Tissues), an end-to-end analysis pipeline for construction of spatially resolved cell atlases from raw data covering millions of cells across large sample cohorts. Its modular architecture supports the integration of diverse data modalities and novel analytical methods for image processing and segmentation, spatialomics quantification and downstream analyses. With comprehensive, open-source, user-friendly, interactive, and visual analysis modules, CROCHET aims to democratize spatial omics for a broad community of users.

bioRxiv (Cold Spring Harbor Laboratory)
The University of Texas MD Anderson Cancer Center (US), Oregon Health & Science University (US)
Openalex Percentile: Top 18%
Single-cell and spatial transcriptomics
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CROCHET: a versatile pipeline for automated analysis and visual atlas creation from single-cell spatialomic data — Guillaume Thibault, Anil Korkut, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS