M. Weigert

Deep neural network automated segmentation of cellular structures in volume electron microscopy

This paper introduces ASEM, a deep learning pipeline for automated segmentation of cellular structures in electron microscopy, demonstrating its effectiveness in identifying various organelles and membrane structures.

Event-driven acquisition for content-enriched microscopy

The paper introduces an event-driven acquisition framework that enhances microscopy by capturing dynamic biological events with optimized imaging rates.

3D FIB-SEM reconstruction of microtubule-organelle interaction in whole primary mouse beta cells

The paper provides 3D reconstructions of microtubule networks in primary mouse beta cells and shows their role in insulin secretory granule positioning.

Deep learning-enhanced light-field imaging with continuous validation

This paper introduces a deep learning framework for light-field microscopy that uses continuous validation during image reconstruction, achieving high-quality video-rate reconstructions of medaka heart dynamics and zebrafish neural activity.

Rod nuclear architecture determines contrast transmission of the retina and behavioral sensitivity in mice

This study shows that nuclear inversion in rod cells improves retinal contrast transmission and enhances low-light behavioral sensitivity in mice.

Automated detection of the HER2 gene amplification status in Fluorescence in situ hybridization images for the diagnostics of cancer tissues

This paper develops a deep learning pipeline to automate HER2 gene amplification detection in FISH images, achieving accuracy comparable to pathologists.

Individual- versus group-optimality in the production of secreted bacterial compounds

The paper shows that for shared compounds with saturating benefits, division of labor evolves when production costs diminish with higher output, as demonstrated through mathematical modeling and experimental testing with pyoverdine.

Probing the evolutionary robustness of two repurposed drugs targeting iron uptake in Pseudomonas aeruginosa

This study evaluates the evolutionary robustness of two drugs targeting iron uptake in Pseudomonas aeruginosa, finding that resistance development varies between the drugs.

The physical boundaries of public goods cooperation between surface-attached bacterial cells

The paper investigates the physical limits of siderophore sharing between surface-attached Pseudomonas aeruginosa cells, showing that sharing is most effective between nearby cells on soft surfaces.