In February 2026, Illumina announced new customer breakthroughs in oncology powered by its spatial transcriptomics, 5-base sequencing, and proteomics technologies, all streamlined by Illumina ...

Throughout our lifetime, each beat of the heart requires the coordinated action of multiple cardiac cell types. Understanding cardiac cell biology, its intricate microenvironments, and the mechanisms ...

New bioRxiv preprint: MERFISH 2.0, an ultra-sensitive spatial transcriptomics chemistry for diverse tissue types. Spatial transcriptomics has transformed our ability to study tissue architecture and ...

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...

Principles of Flow Cytometry: Gain a solid theoretical foundation in fluidics, optics, fluorescence, and data acquisition. Understand how flow cytometry works and how it applies across biological ...

This study addresses a critical challenge in spatial multi-omics: the effective integration of heterogeneous molecular modalities within complex tissue environments. By introducing SpaDDM, a ...

This repository contains code for the SpatialDIVA method, associated preprocessing, and evaluations performed in the manuscript - "Multi-modal disentanglement of spatial transcriptomics and ...

Layer 2/3 (L2/3) glutamatergic neurons are important sites of experience-dependent plasticity and learning in the mammalian cortex. Their properties vary continuously with cortical depth and depend ...

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 ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.4c04462. Averaged mass spectrum from the rat brain tissue with ...