Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2023.07.24.549256v1?rss=1
Authors: Luo, D., Robertson, S., Zhan, Y., Rong, R., Wang, S., Jiang, X., Yang, S., Palmer, S., Jia, L., Li, Q., Xiao, G., Zhan, X.
Abstract:
Motivation: Spatial transcriptomics (ST) enables a high-resolution interrogation of molecular characteristics within specific spatial contexts and tissue morphology. Despite its potential, visualization of ST data is a challenging task due to the complexities in handling, sharing and visualizing large image datasets together with molecular information. Results: We introduce ScopeViewer, a browser-based software designed to overcome these challenges. ScopeView-er offers the following functionalities: (1) It visualizes large image data and associated annotations at various zoom lev-els, allowing for intricate exploration of the data; (2) It enables dual interactive viewing of the original images along with their annotations, providing a comprehensive understanding of the context; (3) It displays spatial molecular features with optimized bandwidth, ensuring a smooth user experience; and (4) It bolsters data security by circumventing data transfers. Availability: ScopeViewer is available at: https://datacommons.swmed.edu/scopeviewer
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