Area of research
Molecular Biology · Biophysics
Research interest
Research interests include Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, Cancer Genomics and Diagnostics, and Pluripotent Stem Cells Research.
Spatially resolved transcriptomic and proteomic profiling reveals cell interaction programs that predict Barrett’s esophagus progression
Cancer Research in the Age of Spatial Omics: Lessons from IMAXT
Robust consensus nuclear and cell segmentation
HGG-47. SPATIAL SINGLE-CELL PROTEOMIC ANALYSIS MAPS THE DISTINCT PEDIATRIC-TYPE DIFFUSE HIGH-GRADE GLIOMA TUMOR ENTITIES AND DEFINES THEIR TUMOR AND IMMUNE MICROENVIRONMENTS
The dawn of spatial omics
Somatostatin Receptor PET/MR Imaging of Inflammation in Patients With Large Vessel Vasculitis and Atherosclerosis
FOXC2 promotes vasculogenic mimicry and resistance to anti-angiogenic therapy
Dual-modality imaging of immunofluorescence and imaging mass cytometry for whole-slide imaging and accurate segmentation
Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure
Dual-modality imaging of immunofluorescence and imaging mass cytometry for whole slide imaging with accurate single-cell segmentation
Dual-modality imaging of immunofluorescence and imaging mass cytometry for high-resolution whole slide imaging with accurate single-cell segmentation
Dual-modality imaging of immunofluorescence and imaging mass cytometry for high-resolution whole slide imaging with accurate single-cell segmentation
Single-cell genomic variation induced by mutational processes in cancer
Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems
Three-dimensional imaging mass cytometry for highly multiplexed molecular and cellular mapping of tissues and the tumor microenvironment
Clonal fitness inferred from time-series modelling of single-cell cancer genomes
Landscapes of cellular phenotypic diversity in breast cancer xenografts and their impact on drug response
Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer