E. Gomez-de-Mariscal

This study shows that transertion and cell geometry influence the spatial organization of the E. coli nucleoid during growth and antibiotic treatment.

This paper trains a diffusion model to generate realistic super-resolution microscopy images and shows its effectiveness in improving deconvolution performance with limited real data.

The paper shows that breast cancer cell-derived small extracellular vesicles (EVs) become more adhesive and metastatic when produced in stiff matrices, promoting cancer spread through enhanced chemotaxis and fibroblast reprogramming.

This study shows MLL1 promotes cancer metastasis by regulating cytokine secretion and actin dynamics, and its inhibition reduces metastasis when combined with chemotherapy.

DeepBacs uses open-source deep learning to analyze bacterial microscopy images, offering tools for segmentation, classification, and phenotyping with applications in antibiotic research.

DeepImageJ provides a user-friendly environment for using pre-trained deep learning models in ImageJ for biomedical image analysis tasks.