ArticleGenome biology2025
Vispro improves imaging analysis for Visium spatial transcriptomics.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Improving Image Quality in 10× Visium Spatial Transcriptomics Using Vispro.Methods in molecular biology (Clifton, N.J.) · 2027Article
- A comprehensive survey of computer vision methods for spatial transcriptomics.Briefings in bioinformatics · 2026Review
- Commensal Microbiota and Reproductive Health in Livestock: Mechanisms, Cross-System Crosstalk, and Precision Strategies.Animals : an open access journal from MDPI · 2026Review
- Computer Vision Methods for Spatial Transcriptomics: A Survey.bioRxiv : the preprint server for biology · 2025Article
- Vispro improves imaging analysis for Visium spatial transcriptomics.Genome biology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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.
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Registered trials
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.