Mapping Tumor Immune Landscape with AI-Powered Spatial Proteomics
Spatial mapping of untreated tumors provides an overview of the tumor immune architecture, useful for understanding therapeutic responses. Immunocompetent murine models are essential for identifying…
Deep Visual Proteomics Provides Precise Spatial Proteomic Information
Despite the availability of imaging methods and mass spectroscopy for spatial proteomics, a key challenge that remains is correlating images with single-cell resolution to protein-abundance…
Spatial Analysis of Neuroimmune Interactions in Alzheimer’s Disease
Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by neurofibrillary tangles, β-amyloid plaques, and neuroinflammation. These dysfunctions trigger or are exacerbated by…
AI-Powered Multiplexed Image Analysis to Explore Colon Adenocarcinoma
In this application note, we demonstrate a spatial biology workflow via an AI-powered multiplexed image analysis-based exploration of the tumor immune microenvironment in colon adenocarcinoma.
Dual-View LightSheet Microscope for Large Multicellular Systems
Visualizing the dynamics of complex multicellular systems is a fundamental goal in biology. To address the challenges of live imaging over large spatiotemporal scales, Franziska Moos et. al. present…
A Meta-cancer Analysis of the Tumor Spatial Microenvironment
Learn how clustering analysis of Cell DIVE datasets in Aivia can be used to understand tissue-specific and pan-cancer mechanisms of cancer progression
Mapping the Landscape of Colorectal Adenocarcinoma with Imaging and AI
Discover deep insights in colon adenocarcinoma and other immuno-oncology realms through the potent combination of multiplexed imaging of Cell DIVE and Aivia AI-based image analysis
Spatial Architecture of Tumor and Immune Cells in Tumor Tissues
Dig deep into the spatial biology of cancer progression and mouse immune-oncology in this poster, and learn how tumor metabolism can effect immune cell function.
IBEX, Cell DIVE, and RNA-Seq: A Multi-omics Approach to Follicular Lymphoma
In a recent study by Radtke et al., a multi-omics spatial biology approach helps shed light on early relapsing lymphoma patients
