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Bruker Spatial Biology

Bruker Spatial Biology, a division of Bruker Corporation, provides advanced spatial solutions, including instruments, assays, software, and services to support life sciences research. The CosMx™ Spatial Molecular Imager enables high-plex spatial transcriptomics at single-cell resolution, with data analysis supported by the cloud-based AtoMx™ Spatial Informatics Platform. Designed for whole-tissue exploration, the GeoMx® Digital Spatial Profiler provides high-plex multiomic readouts while the CellScape™ Precise Spatial Proteomics platform enables high dynamic range biomarker analysis. The nCounter® Analysis System facilitates rapid, sensitive profiling of gene and miRNA expression. Canopy Multiomic Services provides access to these technologies for biopharmaceutical research, custom assay development, and clinical sample testing.

Latest Bruker Spatial Biology Content

The Spatial Biology Revolution 2024
Online Event

The Spatial Biology Revolution 2024

On-Demand
Learn about the latest research in spatial biology and its applications. From understanding the mechanisms of infectious disease to early diagnostics and therapeutics, hear the outstanding advancements in the field.
Human form made from white dots of varying sizes on a pink/purple background.
Article

Mapping Development and Disease With Spatial Biology Technologies

This article examines how next-generation sequencing and state-of-the-art imaging technologies are being combined to characterize and map the spatial organization of cell types in tissues.
3d illustration of proteins in different colours
App Note / Case Study

High-Plex Protein Detection To Support Therapy Development

This app note highlights a multiplex immunofluorescence imaging solution for targeted spatial proteomics that provides several advantages over other spatial proteomic and transcriptomic technologies for biomarker studies.
BrukerCanopyWebinarEventHostedByTechnologyNetworksMarch19,2024
Webinar

Exploring Complex Tissue Microenvironments With Spatial Biology

On-Demand
Join this webinar to learn the fundamentals of spatial multiplexing for single-cell proteomics and hear how it enables the in-depth exploration of complex tissue microenvironments through the detection and quantification of a virtually unlimited number of protein target analytes.

Medicine and experiment reaction on computer
Webinar

Assess Immune Profiling and Enable Biomarker Discovery With Spatial Transcriptomics

On-Demand
This webinar highlights a platform that can identify biomarkers with clinical benefit in non-small cell lung cancer and analyze the immune microenvironment in bone marrow trephine samples.
TMi10 image
Video

Exploring Spatial Biology

This episode provides an overview of spatial biology and what applications scientists can pursue by exploring this area.
Floating cells on a dark blue background.
Listicle

Five Applications of Single-Cell Analysis Technologies

Download this listicle to discover recent examples of how single-cell analysis methods are driving forward research into cancer, aging, and drug discovery and development.
Immune Profiling for Disease
Poster

Precise Spatial Immune Profiling of PBMCs

This poster discusses the use of ChipCytometry, a modified approach to slide-based cytometry, which is a novel, highly multiplexed technology that preserves both plex and spatial context to deeply profile immune cell diversity at single-cell resolution.
Precise Morphological Analysis of Tumors With Whole Transcriptomics content piece image
Poster

Precise Morphological Analysis of Tumors With Whole Transcriptomics

Researchers require spatial information and high-plex gene expression data to understand how cells interact with tumors. However, molecular subtyping within a tumor type requires additional stratification at the tissue level to facilitate meaningful subsequent gene expression analysis.
Resolve the Complex Cellular Diversity of Your Samples content piece image
App Note / Case Study

Resolve the Complex Cellular Diversity of Your Samples

Single-cell RNA sequencing produces a substantial amount of complex data that can be a burden if you don’t have time to become an expert in bioinformatics.
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