Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Spatial biology is a series of techniques with which scientists collect detailed cellular information and examine the positional context of cells in a tissue. Individual cells differentially use their ...

neofleX is a versatile, high-performance, and easy-to-use multiomics MSI system for biopharma, translational and clinical researchers neofleX Imaging Profiler MALDI-TOF/TOF with proprietary smartbeam ...

MINNEAPOLIS--(BUSINESS WIRE)-- At the 70th ASMS Conference, Bruker Corporation (Nasdaq: BRKR) announced key innovations for spatial multiomics of tissue and tumor microenvironments (TME). Following ...

Tissues are where most biological functions, drug effects and diseases occur, and are often considered a homogenous entity where different types of cells are woven in regularly repeated patterns.

A new study uses single cell analysis of gene expression combined with spatial transcriptomics to reveal previous unrecognized immune cell types and interactions within adipose tissue. Fat tissue, for ...

Advances in tissue-based technologies over the past few years have created opportunities to identify patterns that can be used as biomarkers and prognostic indicators for different disease states.

Announcing a new article publication from Acta Pharmaceutica Sinica B. The brain is the most advanced organ with various complex structural and functional microregions. It is often challenging to ...