ArticlebioRxiv : the preprint server for biology2024
Vispro improves imaging analysis for Visium spatial transcriptomics.
Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Spatial transcriptomics (ST) enables the comprehensive analysis of gene expression while preserving the spatial context of tissues. The histological images accompanying ST data provide spatially cohesive information that is often challenging to capture through gene expression alone. However, analyzing such images is challenging due to the presence of fiducial markers and background regions, which can obscure important features and complicate downstream analysis. To address these challenges, we developed Vispro, an end-to-end, fully automated image processing tool tailored for 10x Visium data. Vispro integrates four key modules of fiducial marker detection, fiducial marker removal and image restoration, tissue region detection, and segmentation of disconnected tissue areas. We demonstrated that Vispro enhances the quality of ST images and improves the performance of downstream analyses, including tissue segmentation, cell segmentation, image registration, and histology-based gene imputation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.