Ricardo Diogo Righetto

MemBrain v2 couples a generalist U-Net cryo-ET membrane segmenter, a mesh-based picker reaching 91% F1 for photosystem II from one annotated membrane, and geodesic particle statistics.

This study provides a molecular and structural map of the ciliary base in mammalian multiciliated cells using advanced imaging and molecular techniques.

This study identifies C2CD3 as a radial organizer of the distal centriole and appendages, revealing its role in structuring the luminal ring and interacting with the DISCO complex.

Icecream improves cryo-ET reconstruction by addressing denoising, missing-wedge recovery, and computational efficiency using equivariant deep learning.

The paper uses cryo-electron tomography to visualize mitochondrial respiratory complexes in Chlamydomonas reinhardtii, revealing their organization into distinct membrane domains and a respirasome structure with cytochrome c binding.

Surforama enables interactive visualization and analysis of membrane proteins in cryo-ET data by rendering local densities on segmented surfaces and exporting results for further analysis.

This paper introduces a Mean Shift loss function for more accurate protein localization in cryo-electron tomography using scoremap-guided clustering and random point sampling.

MemBrain detects membrane proteins in cryo-ET data using a deep learning pipeline, achieving high accuracy with minimal labels and generalizing across different cell types and imaging methods.

This paper introduces DeepFinder, a deep learning method that improves macromolecule identification in 3D cellular cryo-ET data by localizing multiple species with high accuracy.

The paper reports the high-resolution cryo-EM structure of urease from Yersinia enterocolitica, revealing the bimetal active site and enabling drug development insights.

The paper proposes a compressed MRC file format and normalization strategies for direct electron detectors to improve data storage and reduce noise in transmission electron microscopy.