Vispro improves imaging analysis for Visium spatial transcriptomics

Spatial transcriptomics enables spatially resolved gene expression analysis, but accompanying histology images are often degraded by fiducial markers and background regions, hindering interpretation. To address this, we introduce Vispro, an end-to-end automated image processing tool optimized for 10× Visium data. Vispro includes modules for fiducial marker detection, image restoration, tissue region detection, and segmentation of disconnected tissue areas. By enhancing image quality, Vispro improves the accuracy and performance of downstream analyses, including tissue and cell segmentation, image registration, gene expression imputation guided by histological context, and spatial domain detection.

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Publication Details

Journal
Genome biology
Published
2025-06-18
DOI
https://doi.org/10.1186/s13059-025-03648-w
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.61
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article

Vispro improves imaging analysis for Visium spatial transcriptomics

Anru R. Zhang, Zhicheng Ji, Xingyuan Zhang, Huifang Ma et al.
2 citations
Genome biology
Single-cell and spatial transcriptomics
1.61
article

Vispro improves imaging analysis for Visium spatial transcriptomics

Anru R. Zhang, Zhicheng Ji, Xingyuan Zhang, Huifang Ma, Yilong Qu
article en
2 citations

Abstract

Spatial transcriptomics enables spatially resolved gene expression analysis, but accompanying histology images are often degraded by fiducial markers and background regions, hindering interpretation. To address this, we introduce Vispro, an end-to-end automated image processing tool optimized for 10× Visium data. Vispro includes modules for fiducial marker detection, image restoration, tissue region detection, and segmentation of disconnected tissue areas. By enhancing image quality, Vispro improves the accuracy and performance of downstream analyses, including tissue and cell segmentation, image registration, gene expression imputation guided by histological context, and spatial domain detection.

Genome biologyVol. 26(1)
Duke University (US)
Life in Land
Openalex Percentile: Top 16%
Single-cell and spatial transcriptomics
1.61
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