Spatial multiomics analysis using over 100 biomarkers reveals immune architecture and signaling networks in diverse tumor microenvironments

A unified workflow for spatial detection of protein–protein proximity, RNA signatures, and protein phenotypes in tumors

Tumour cell-intrinsic complement C1r and C1s regulate cancer cell fitness and shape the immune microenvironment in triple-negative breast cancer

Automated multiomics assay with over 100 biomarkers for in-depth spatial profiling of the tumor microenvironment in multiple cancer types

Multimodal AI generates virtual population for tumor microenvironment modeling

Targeting GD2 with naxitamab overcomes GD3 synthase-driven immune suppression in triple-negative breast cancer

Spatial Multiomics Approach for Comprehensive Characterization of the Tumor Microenvironment across Various Cancer Types

Spatial Multiomics Approach for Comprehensive Characterization of the Tumor Microenvironment across Various Cancer Types

CLEAR-AF: Improved Autofluorescence Subtraction for Multiplexed Tissue Imaging via Polar Transformation and Gaussian Mixture Models

Toward universal immunofluorescence normalization for multiplex tissue imaging with UniFORM

UniFORM: Towards Universal ImmunoFluorescence Normalization for Multiplex Tissue Imaging