Matthias Meier

The paper shows bacterial invasion and neutrophil immunosuppression drive adenoma progression in a porcine FAP model using single-cell RNA sequencing and spatial transcriptomics.

This study uses single-cell transcriptomics to analyze neovascularization in 3D cultures of hiPSC-derived endothelial cells and mural cells, identifying cell type dynamics and interactions.

The paper introduces a label-free deep learning method to predict nuclear staining in 3D stem cell cultures from bright-field images, enabling high-resolution tracking of differentiation dynamics.

This paper develops a red light-responsive hydrogel that allows reversible control of stiffness for cell positioning in microfluidic systems.

This study introduces xDbit, a multiplexed spatial transcriptomics method, and demonstrates its application in characterizing murine kidney tissue.

SHAPR predicts 3D cell shapes from 2D images, improving accuracy over existing methods and enabling morphometric analysis of cell aggregates.