spatial transcriptomics st autoencoder (Spatial Transcriptomics Inc)
86
Structured Review
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/product/spatial+transcriptomics+%28st%29+method/pmc12375071-182-0-0?v=Spatial+Transcriptomics+Inc
Average 86 stars, based on 1 article reviews
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/product/spatial+transcriptomics+%28st%29+method/pmc12375071-182-0-0?v=Spatial+Transcriptomics+Inc
Average 86 stars, based on 1 article reviews
spatial transcriptomics st autoencoder - by Bioz Stars,
2026-07
86/100 stars
Images
1) Product Images from "SpaIM: single-cell spatial transcriptomics imputation via style transfer"
Article Title: SpaIM: single-cell spatial transcriptomics imputation via style transfer
Journal: Nature Communications
doi: 10.1038/s41467-025-63185-9
Figure Legend 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.
Techniques Used:
![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 "a Benchmarking results on the NanoString CosMx spatial transcriptomics dataset (Lung5–rep3), using evaluation metrics including structural similarity ...")
Figure Legend 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).
Techniques Used: