Designing smart spatial omics experiments with S2-omics v1

A protocol describing the application of S2-omics on a colorectal cancer tissue section, designing 10x VisiumHD experiment. S2-omics is an end-to-end workflow that automatically selects regions of interest for spatial omics experiments using histology images. Additionally, S2-omics utilizes the resulting spatial omics data to virtually reconstruct spatial molecular profiles across entire tissue sections, providing valuable insights to guide subsequent experimental steps. Our histology image-guided design significantly reduces experimental costs while preserving critical spatial molecular variations, thereby making spatial omics studies more accessible and cost-effective. We demonstrate S2-omics’s utility in selecting a 6.5mm × 6.5mm ROI and predicting the cell-type labels for the whole slide image after conducting VisiumHD experiment on the selected ROI.

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Publication Details

Published
2025-10-08
DOI
https://doi.org/10.17504/protocols.io.bp2l6zpnkgqe/v1
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
0.00

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Designing smart spatial omics experiments with S2-omics v1

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Designing smart spatial omics experiments with S2-omics v1

Kaidi Jin, Amelia Schroeder, Idania Carolina Lubo Julio, Tae Hyun Hwang, Sicong Yao, Hanying Yan, Emma E. Furth, Linghua Wang, Tianhao Luo, Jonathan Levinsohn, Katalin Suszták, Musu Yuan, Parker C. Wilson, Jean R. Clemenceau, Anupma Nayak, Luisa M. Solis Soto, Inyeop Jang, Min‐Ji Kim, Jeong Hwan Park, Yunhe Liu, Mingyao Li, Minghua Deng, Chunyu Luo, Bernhard Domoulin
article en

Abstract

A protocol describing the application of S2-omics on a colorectal cancer tissue section, designing 10x VisiumHD experiment. S2-omics is an end-to-end workflow that automatically selects regions of interest for spatial omics experiments using histology images. Additionally, S2-omics utilizes the resulting spatial omics data to virtually reconstruct spatial molecular profiles across entire tissue sections, providing valuable insights to guide subsequent experimental steps. Our histology image-guided design significantly reduces experimental costs while preserving critical spatial molecular variations, thereby making spatial omics studies more accessible and cost-effective. We demonstrate S2-omics’s utility in selecting a 6.5mm × 6.5mm ROI and predicting the cell-type labels for the whole slide image after conducting VisiumHD experiment on the selected ROI.

University of Pennsylvania
Openalex Percentile: Top 85%
Cognitive Science and Mapping
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