Michael Scott Regan

Nitrogen metabolism profiling reveals cell state-specific pyrimidine synthesis pathway choice

The paper develops a platform to trace 30 nitrogen isotope-labeled metabolites, revealing cell state-specific pyrimidine synthesis pathway preferences in primitive and differentiated cells.

Pooled nanoparticle screening using a chemical barcoding approach

This paper develops a chemical barcoding platform using halocodes to enable high-sensitivity detection and pooled screening of nanoparticles, demonstrating its utility in quantifying delivery and spatial mapping.

Spatial Profiling of Metals through Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging

This paper introduces a MALDI MSI method to spatially profile metals in tissues, applying it to study embryogenesis, genetic disorders, and chemotherapy delivery.

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation

massNet uses deep learning to classify spatial mass spectrometry data without preprocessing, achieving higher accuracy and faster speed than classical methods for tumor delineation in mouse brain tissue.

MIAAIM: Multi-omics image integration and tissue state mapping using topological data analysis and cobordism learning

MIAAIM integrates multimodal imaging data across tissue types to map tissue states and link cellular phenotypes with molecular microenvironments.