Charlotte L. Scott

The paper integrates multiple datasets to create a comprehensive human liver cell atlas, identifying new cell types and associations with demographic factors.

The paper develops a deep learning pipeline for analyzing 3D collagen architecture in cleared fibrotic tissues using optimized clearing, imaging, and a U-Net model.

SPArrOW is a pipeline for spatial transcriptomics analysis that improves data quality, provides visual quality checks, and enables interactive exploration and optimization of processing parameters.

This study uses spatial transcriptomics and snRNA-seq to analyze host-pathogen interactions in P. berghei-infected mouse liver tissues, revealing changes in lipid metabolism and inflammatory responses.