Aaditya V Rangan

Oct 22, 2024 | biorxiv.org | Wai Shing Tang |Aaditya V Rangan |Pilar Cossio |Jeff Soules

AbstractExtracting conformational heterogeneity from cryo-electron microscopy (cryo-EM) images is particularly challenging for flexible biomolecules, where traditional 3D classification approaches often fail. Over the past few decades, advancements in experimental and computational techniques have been made to tackle this challenge, especially Bayesian-based approaches that provide physically interpretable insights into cryo-EM heterogeneity.

Oct 3, 2024 | biorxiv.org | Kexin Zhang |Pilar Cossio |Aaditya V Rangan |Bronwyn A Lucas

Abstract2D template matching (2DTM) can be used to detect molecules and their assemblies in cellular cryo-EM images with high positional and orientational accuracy. While 2DTM successfully detects spherical targets such as large ribosomal subunits, challenges remain in detecting smaller and more aspherical targets in various environments. In this work, a novel 2DTM metric, referred to as the 2DTM p-value, is developed to extend the 2DTM framework to more complex applications.