Overview
Dr. Bartesaghi is an Associate Professor in the departments of Computer Science, Biochemistry and Electrical and Computer Engineering at Duke University. The Bartesaghi Lab focuses on the development of machine learning approaches to determine the structure of macromolecular complexes of general biomedical interest using single-particle cryo-electron microscopy, cryo-electron tomography, and sub-volume averaging. Some of our targets include glycoproteins of enveloped viruses like HIV, Influenza and Ebola, transporters and channels involved in signaling and metabolism, GPCRs, DNA-targeting CRISPR-Cas surveillance complexes, and targets for cancer drugs. The lab also works more broadly in the fields of deep learning and artificial intelligence, computer vision, biomedical imaging, and high-performance computing.
Current Appointments & Affiliations
Recent Publications
prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.
Journal Article Structure (London, England : 1993) · March 2026 High-throughput data collection in single-particle cryo-electron microscopy (EM) necessitates fast, accurate, and generalizable methods to assess micrograph quality. Manual micrograph curation scales poorly to large datasets and often misclassifies images ... Full text CiteIn situ structure determination of conformationally flexible targets using nextPYP.
Journal Article Nature protocols · February 2026 Single-particle cryoelectron tomography (SP-CET) is an imaging technique capable of determining the structure of proteins in their cellular environment at high-resolution. nextPYP is a web-based application designed to streamline the SP-CET structure deter ... Full text CiteStrategies for studying discrete heterogeneity in situ using cryo-electron tomography.
Journal Article Current opinion in structural biology · December 2025 Structural variability plays a crucial role in enabling biological function, as the ability of proteins to adopt multiple conformations allows them to perform diverse cellular tasks. Cryo-electron tomography combined with subtomogram averaging and classifi ... Full text CiteRecent Grants
A Computational Platform for In-Situ Structure Determination at Near-Atomic Resolution using Cryo-ET
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2026 - 2031Decoding Alpha-Synuclein Conformational Diversity to Enable Advanced Predictive Amplification Assays
ResearchCo Investigator · Awarded by Michael J. Fox Foundation for Parkinson's Research · 2026 - 2029Structural and Functional Analysis of Nucleocytoplasmic Protein O-Glycosyltransferases in Plants
ResearchCollaborator · Awarded by National Institute of General Medical Sciences · 2023 - 2027View All Grants