Microscopy Conference 2023

DeepHEMNMA approach for analyzing continuous conformational heterogeneity in single-particle cryo-EM images

LS 4: Image analysis of large data sets

Image analysis is an integral part of the single-particle as well as the tomography cryo-EM workflows. In single-particle cryo-EM, automated image acquisition procedures generate large data sets that enable the ensemble structure determination of increasing number of conformations at higher resolution. This procedure also requires algorithms that can detect the variability in large data sets and distinguish different conformations from each other. Similarly, using subtomogram averaging the analysis of structural variability is driven by improved classification techniques of larger data sets. Due to the processing of volumes instead of projections, this method is more computationally intensive than single particle analysis and therefore requires new software solutions. Moreover, image processing of large numbers of cellular cryotomograms by new segmentation and template matching methods will enable a quantitative image analysis of the cellular environment.

Slavica Jonic

Vortrag

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