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Performant web-based interactive visualization tool for spatially-resolved transcriptomics experiments.
Sriworarat, Chaichontat; Nguyen, Annie; Eagles, Nicholas J; Collado-Torres, Leonardo; Martinowich, Keri; Maynard, Kristen R; Hicks, Stephanie C.
Affiliation
  • Sriworarat C; Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Nguyen A; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
  • Eagles NJ; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
  • Collado-Torres L; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
  • Martinowich K; Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Maynard KR; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.
  • Hicks SC; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
bioRxiv ; 2023 Feb 23.
Article in En | MEDLINE | ID: mdl-36747726
High-resolution and multiplexed imaging techniques are giving us an increasingly detailed observation of a biological system. However, sharing, exploring, and customizing the visualization of large multidimensional images can be a challenge. Here, we introduce Samui, a performant and interactive image visualization tool that runs completely in the web browser. Samui is specifically designed for fast image visualization and annotation and enables users to browse through large images and their selected features within seconds of receiving a link. We demonstrate the broad utility of Samui with images generated with two platforms: Vizgen MERFISH and 10x Genomics Visium Spatial Gene Expression. Samui along with example datasets is available at https://samuibrowser.com.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States