This work uses MERFISHEYES to enable browser-based visualization of all 158 spatial transcriptomics datasets in the Brain Image Library and demonstrate its capabilities in handling high-throughput 3D data with genome-scale imputation of gene expression and DNA accessibility.
Abstract
Interactive exploration and sharing of hybridization-based spatial transcriptomics datasets remain limited by large file sizes, specialized software, and computationally intensive preprocessing, restricting rapid access to publicly available resources such as the Brain Image Library. Here we present MERFISHEYES (https://merfisheyes.com), a browser-based platform for interactive visualization of single-cell and single-molecule spatial transcriptomics data across commercial and emerging high-throughput platforms. MERFISHEYES enables marker gene exploration, cross-dataset and cross-species comparison, visualization of subcellular RNA localization, and collaborative sharing through browser-accessible links generated directly from drag-and-drop datasets. We use MERFISHEYES to enable browser-based visualization of all 158 spatial transcriptomics datasets in the Brain Image Library and demonstrate its capabilities in handling high-throughput 3D data with genome-scale imputation of gene expression and DNA accessibility. MERFISHEYES provides a scalable framework for rapid exploration, sharing, and collaborative analysis of spatial transcriptomics data. Highlights MERFISHEYES is an online web-based visualizer for spatial transcriptomics data that requires no user preprocessing, installation, or hosting of data All 158 datasets from the Brain Image Library are integrated into MERFISHEYES allowing for cross dataset comparisons Supports single-molecule visualization of more than 150 million transcripts in 3D Supports link-based data sharing for easy access and collaboration of spatial transcriptomics data
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