Dario Bressan

This paper introduces a 3D imaging pipeline to detect functionally perfused vasculogenic mimicry in mouse tumor models, providing evidence of its presence and functionality.

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

This paper presents a 4D spatial transcriptomic atlas of Medicago truncatula nodules and lateral roots, revealing how nodule identity emerges through stacked developmental programs.

This study uses spatial transcriptomic and proteomic profiling to identify cell interaction patterns that predict progression of Barrett's esophagus.

This paper introduces a segmentation software wrapper that combines multiple existing methods to produce an optimized mask for cell segmentation.

The paper introduces BALI, a method for spatially tuneable multi-omic profiling using light-driven combinatorial barcoding, demonstrating its application on mouse brain tissue.

The paper introduces a dual-modality imaging method combining high-resolution immunofluorescence and imaging mass cytometry to generate whole-slide IMC images with accurate single-cell segmentation.

The paper identifies potent siRNAs against SARS-CoV-2 through RNAi screening, validates their efficacy against variants, and demonstrates their prophylactic potential in a hamster model.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

This paper introduces SYNseq, a method using barcode sequencing to map neural connectomes efficiently, though current inefficiencies limit its application.