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Spatial transcriptomics is an emerging field that enables the identification of functional regions based on the spatial distribution of gene expression. Integrating this functional information present in transcriptomic data with structural…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Shanaka Liyanaarachchi , Chathurya Wijethunga , Shihab Aaqil Ahamed , Akthas Absar , Ranga Rodrigo

The spatial location of cells within tissues and organs is crucial for the manifestation of their specific functions.Spatial transcriptomics technology enables comprehensive measurement of the gene expression patterns in tissues while…

Quantitative Methods · Quantitative Biology 2024-07-12 Shuailin Xue , Fangfang Zhu , Changmiao Wang , Wenwen Min

Spatial transcriptomics aims to connect high-resolution histology images with spatially resolved gene expression. To achieve better performance on downstream tasks such as gene expression prediction, large-scale pre-training is required to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Jiahe Qian , Yaoyu Fang , Ziqiao Weng , Xinkun Wang , Lee A. Cooper , Bo Zhou

Identifying disease-indicative genes is critical for deciphering disease mechanisms and has attracted significant interest in biomedical research. Spatial transcriptomics offers unprecedented insights for the detection of disease-specific…

Methodology · Statistics 2024-09-05 Qicheng Zhao , Qihuang Zhang

Spatial Transcriptomics (ST) is a technology that measures gene expression profiles within tissue sections while retaining spatial context. It reveals localized gene expression patterns and tissue heterogeneity, both of which are essential…

Quantitative Methods · Quantitative Biology 2026-03-24 Wei Zhang , Jiajun Chu , Xinci Liu , Chen Tong , Xinyue Li

Integrating histopathology with spatial transcriptomics (ST) provides a powerful opportunity to link tissue morphology with molecular function. Yet most existing multimodal approaches rely on a small set of highly variable genes, which…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Sejuti Majumder , Saarthak Kapse , Moinak Bhattacharya , Xuan Xu , Alisa Yurovsky , Prateek Prasanna

Spatial transcriptomics (ST) technologies enable gene expression profiling with spatial resolution, offering unprecedented insights into tissue organization and disease heterogeneity. However, current analysis methods often struggle with…

Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures gene expression of each fine-grained area (i.e., different windows) in the tissue slide with low throughput. This paper…

Computer Vision and Pattern Recognition · Computer Science 2022-11-01 Yan Yang , Md Zakir Hossain , Eric A Stone , Shafin Rahman

Human and animal tissues consist of heterogeneous cell types that organize and interact in highly structured manners. Bulk and single-cell sequencing technologies remove cells from their original microenvironments, resulting in a loss of…

Quantitative Methods · Quantitative Biology 2022-02-08 Boxiang Liu , Yanjun Li , Liang Zhang

Spatial transcriptomics provides an unprecedented perspective for deciphering tissue spatial heterogeneity. However, high-resolution spatial transcriptomic technology remains constrained by limited gene coverage, technical complexity, and…

Biomolecules · Quantitative Biology 2026-05-19 Xinlei Huang , Weihao Dai , Zijun Qin , Xin Yu , Di Wang , Yanran Liu , Lixin Cheng , Xubin Zheng

"Is it possible to predict expression levels of different genes at a given spatial location in the routine histology image of a tumor section by modeling its stain absorption characteristics?" In this work, we propose a "stain-aware"…

Image and Video Processing · Electrical Eng. & Systems 2021-08-27 Muhammad Dawood , Kim Branson , Nasir M. Rajpoot , Fayyaz ul Amir Afsar Minhas

Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering insights into tissue molecular landscapes. Previous methods for spatial gene expression prediction typically crop spots of interest from…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Ruikun Zhang , Yan Yang , Liyuan Pan

The rapid development of digital pathology and modern deep learning has facilitated the emergence of pathology foundation models that are expected to solve general pathology problems under various disease conditions in one unified model,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Yutong Sun , Sichen Zhu , Peng Qiu

Spatial Transcriptomics (ST) allows a high-resolution measurement of RNA sequence abundance by systematically connecting cell morphology depicted in Hematoxylin and Eosin (H&E) stained histology images to spatially resolved gene…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Sichen Zhu , Yuchen Zhu , Molei Tao , Peng Qiu

Spatial transcriptomics (ST) has emerged as a powerful technology for bridging histology imaging with gene expression profiling. However, its application has been limited by low throughput and the need for specialized experimental…

Computer Vision and Pattern Recognition · Computer Science 2025-06-09 Tinglin Huang , Tianyu Liu , Mehrtash Babadi , Wengong Jin , Rex Ying

Spatial Transcriptomics (ST) profiles thousands of gene expression values at discrete spots with precise coordinates on tissue sections, preserving spatial context essential for clinical and pathological studies. With rising sequencing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Yishun Zhu , Jiaxin Qi , Jian Wang , Yuhua Zheng , Jianqiang Huang

In order to understand the complexities of cellular biology, researchers are interested in two important metrics: the genetic expression information of cells and their spatial coordinates within a tissue sample. However, state-of-the art…

Machine Learning · Computer Science 2023-11-02 J. Ding , S. N. Zaman , P. Y. Chen , D. Wang

Spatial Transcriptomics (ST) provides spatially resolved gene expression profiles within intact tissue architecture, enabling molecular analysis in histological context. However, the high cost, limited throughput, and restricted data…

Machine Learning · Computer Science 2026-03-31 Yaoyu Fang , Jiahe Qian , Xinkun Wang , Lee A. Cooper , Bo Zhou

The rapid development of spatial transcriptomics(ST) enables the measurement of gene expression at spatial resolution, making it possible to simultaneously profile the gene expression, spatial locations of spots, and the matched…

Artificial Intelligence · Computer Science 2024-06-19 Changxi Chi , Hang Shi , Qi Zhu , Daoqiang Zhang , Wei Shao

Spatial Transcriptomics (ST) reveals the spatial distribution of gene expression in tissues, offering critical insights into biological processes and disease mechanisms. However, the high cost, limited coverage, and technical complexity of…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Yi Niu , Jiashuai Liu , Yingkang Zhan , Jiangbo Shi , Di Zhang , Marika Reinius , Ines Machado , Mireia Crispin-Ortuzar , Jialun Wu , Chen Li , Zeyu Gao