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Spatial Transcriptomics: Assigning Spots to Cell Types
Spatial Transcriptomics reveals how spots mix signals from multiple cells, and how deconvolution and segmentation map spots to cell types and regions.
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Free Databases for Omics Research: The Human Protein Atlas
Explore free proteomics databases from the Human Protein Atlas to ProteomeXchange APIs, with quick, reproducible ways to pull protein data for…
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Foundation Models for Single-cell Omics: Nicheformer
Nicheformer fuses dissociated scRNA-seq and spatial omics to transfer spatial labels and reveal neighborhood structure from gene expression.
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Open Science Initiatives: Connecting industry and academia
Open Science Initiatives reshape how therapies and diagnostics reach patients, enabling public-private partnerships, shared data, and faster discovery.
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Spatial Omics in Tissue Engineering and Synthetic Biology
Spatial Omics maps how protocols shape gradients, niches, and tissue architecture, enabling design-driven, reproducible tissue engineering.
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Digital Lab: Inventory Management & Predictive Maintenance
A digital lab inventory system links stock, expiry, and location to predictive maintenance, reducing waste and keeping experiments on track.
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Free Spatial Transcriptomics Datasets: SODB & SpatialDB
Explore free SpatialDB and SODB datasets for spatial transcriptomics with curated metadata, quick downloads, and cross-tissue benchmarking.
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This week’s top spatial transcriptomics papers 🧬 Week 4
🧪 Technology & Methods Development Impact and correction of segmentation errors in spatial transcriptomics. Re-analysis of imaging-based spatial transcriptomics across multiple…
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Automated Cell Type Annotation in Single-Cell Genomics
Marker-based scoring and reference mapping power fast, reproducible automated cell type annotation in single-cell genomics.
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Remote experimentation platforms: experiments via service providers
Remote experimentation platforms turn lab work into on-demand, software-driven experiments in cloud labs or outsourced remote labs.