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Spatial Transcriptomics Inc
spatial transcriptomics st autoencoder  Spatial Transcriptomics St Autoencoder, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/spatial transcriptomics st autoencoder/product/Spatial Transcriptomics Inc Average 86 stars, based on 1 article reviews
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2026-05
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Journal: Nature Communications
Article Title: SpaIM: single-cell spatial transcriptomics imputation via style transfer
doi: 10.1038/s41467-025-63185-9
Figure Lengend Snippet: SpaIM comprises an ST autoencoder and an ST generator. Both the ST autoencoder and the ST generator are built on the multilayer recursive style transfer (ReST) layers.
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![a Benchmarking results on the NanoString CosMx spatial transcriptomics dataset (Lung5–rep3), using evaluation metrics including structural similarity index measure (SSIM) and Jaccard similarity (JS). Data are presented as mean values ± 95% confidence intervals across predicted genes ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document} n = 2,038). b Spatial visualization of cell types in the whole slide. c Spatial visualization of cell types in specific field of views (FOVs).](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_5071/pmc12375071/pmc12375071__41467_2025_63185_Fig4_HTML.jpg.jpg)
Journal: Nature Communications
Article Title: SpaIM: single-cell spatial transcriptomics imputation via style transfer
doi: 10.1038/s41467-025-63185-9
Figure Lengend Snippet: a Benchmarking results on the NanoString CosMx spatial transcriptomics dataset (Lung5–rep3), using evaluation metrics including structural similarity index measure (SSIM) and Jaccard similarity (JS). Data are presented as mean values ± 95% confidence intervals across predicted genes ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document} n = 2,038). b Spatial visualization of cell types in the whole slide. c Spatial visualization of cell types in specific field of views (FOVs).
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Techniques: