David Gerardus Pieter van IJzendoorn, Magdalena Matusiak, Rob West, Matt van de Rijn
{"title":"TissueViewer:一个基于web的多路图像查看器。","authors":"David Gerardus Pieter van IJzendoorn, Magdalena Matusiak, Rob West, Matt van de Rijn","doi":"10.1093/bioinformatics/btaf246","DOIUrl":null,"url":null,"abstract":"<p><strong>Motivation: </strong>Datasets generated by spatial biology techniques such as multiplex immunofluorescence staining or spatial transcriptomics profiling of histologic sections carry a tremendous wealth of information. Several commercial platforms exist that can simultaneously acquire 1-1000 distinct marker signals (e.g. MIBI, CODEX, Orion, Nanostring CosMX SMI, Vizgen). However, due to the large size of these datasets, their viewing and sharing are slow, laborious, and require extensive computational resources.</p><p><strong>Results: </strong>To overcome these challenges, we developed TissueViewer, an easy to setup and use web-based viewer designed to deliver high-resolution images over the internet with low bandwidth requirements and at high speed.</p><p><strong>Availability and implementation: </strong>TissueViewer is available on GitHub (https://github.com/davidvi/tissueviewer) and can be used on the TissueViewer.org platform, where readers can upload their own data with a limit of 50 GB to share with colleagues.</p>","PeriodicalId":93899,"journal":{"name":"Bioinformatics (Oxford, England)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12119129/pdf/","citationCount":"0","resultStr":"{\"title\":\"TissueViewer: a web-based multiplexed image viewer.\",\"authors\":\"David Gerardus Pieter van IJzendoorn, Magdalena Matusiak, Rob West, Matt van de Rijn\",\"doi\":\"10.1093/bioinformatics/btaf246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Motivation: </strong>Datasets generated by spatial biology techniques such as multiplex immunofluorescence staining or spatial transcriptomics profiling of histologic sections carry a tremendous wealth of information. Several commercial platforms exist that can simultaneously acquire 1-1000 distinct marker signals (e.g. MIBI, CODEX, Orion, Nanostring CosMX SMI, Vizgen). However, due to the large size of these datasets, their viewing and sharing are slow, laborious, and require extensive computational resources.</p><p><strong>Results: </strong>To overcome these challenges, we developed TissueViewer, an easy to setup and use web-based viewer designed to deliver high-resolution images over the internet with low bandwidth requirements and at high speed.</p><p><strong>Availability and implementation: </strong>TissueViewer is available on GitHub (https://github.com/davidvi/tissueviewer) and can be used on the TissueViewer.org platform, where readers can upload their own data with a limit of 50 GB to share with colleagues.</p>\",\"PeriodicalId\":93899,\"journal\":{\"name\":\"Bioinformatics (Oxford, England)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12119129/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioinformatics (Oxford, England)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/bioinformatics/btaf246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics (Oxford, England)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioinformatics/btaf246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TissueViewer: a web-based multiplexed image viewer.
Motivation: Datasets generated by spatial biology techniques such as multiplex immunofluorescence staining or spatial transcriptomics profiling of histologic sections carry a tremendous wealth of information. Several commercial platforms exist that can simultaneously acquire 1-1000 distinct marker signals (e.g. MIBI, CODEX, Orion, Nanostring CosMX SMI, Vizgen). However, due to the large size of these datasets, their viewing and sharing are slow, laborious, and require extensive computational resources.
Results: To overcome these challenges, we developed TissueViewer, an easy to setup and use web-based viewer designed to deliver high-resolution images over the internet with low bandwidth requirements and at high speed.
Availability and implementation: TissueViewer is available on GitHub (https://github.com/davidvi/tissueviewer) and can be used on the TissueViewer.org platform, where readers can upload their own data with a limit of 50 GB to share with colleagues.