Jesús G. Galaz-Montoya

CryoViT improves segmentation of large subcellular structures in cryoET data using vision transformers, outperforming U-Net-based methods with limited training data.

This paper introduces an unsupervised learning approach using coordinate networks to address the missing wedge problem in cryoET, improving reconstruction quality and reducing runtime.

This study uses cryoET and proteomics to identify mitochondrial and organelle abnormalities in HD models, showing potential for early diagnosis and therapy development.

This study uses cryo-electron tomography to analyze the structure of mutant huntingtin exon 1 and polyQ aggregates, revealing structural heterogeneity and a 'polyQ core' model.