Researchers show how damaged tissue is reshaped to trigger painful bone formation in muscles and tendons CHINA, ...
The launch marks a fundamental shift in spatial biology — from 2D thin-section approaches that analyze partial cell layers to true 3D analysis that preserves the native organization of cells, ...
Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
This repository contains the code of the paper "DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images". Authors: Kalin Nonchev, Sebastian Dawo, Karina ...
SANTA CLARA, CA, UNITED STATES, January 20, 2026 /EINPresswire.com/ -- OmicInsight Corporation, an innovator in ...
Abstract: Recent advancements in spatial transcriptomics technology have enabled the capture of gene expression profiles while maintaining spatial information. Accurately identifying spatial ...
DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
Do you want to generate spatial transcriptomics data using your H&E images? We introduce DeepSpot, a novel deep-learning model that predicts spatial transcriptomics from H&E images. DeepSpot employs a ...
Abstract: Recent advances in spatial transcriptomics have enabled subcellular-resolution profiling of gene expression, offering unprecedented opportunities to investigate intracellular architecture ...
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