Michele Bortolomeazzi

This study compares four spatial transcriptomics technologies for analyzing medulloblastoma cryosections, highlighting their strengths and providing guidance for method selection.

The paper uses single-cell technologies to show that large-scale chromosomal aberrations drive medulloblastoma initiation, while single-gene oncogenic events like MYC contribute to progression and therapy resistance.

The paper describes the implementation of OMERO for bioimage data management at a research facility, highlighting challenges and strategies for compliance with FAIR principles.

This study identifies cell-state plasticity as a driver of heterogeneity in Group 3/4 medulloblastomas, showing that transcription factor perturbation can redirect tumor cells along different differentiation trajectories.

Rarity improves the detection of rare cell populations in single-cell imaging data through a Bayesian latent variable model.

SIMPLI is a software tool for analyzing multiplexed imaging data to enable spatially resolved single-cell tissue phenotyping and marker expression quantification.