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A Better Way to Estimate Molecular Orientations and Reveal Structural Heterogeneity in Cryo-EM
What is it about?
A Bayesian approach to orientation estimation in cryo-EM is presented, where the MMSE estimator outperforms standard methods, especially under low SNR. Improved orientation estimation leads to better 3D reconstruction and structural heterogeneity analysis.
Why is it important?
Cryo-EM data are often extremely noisy, making orientation estimation unreliable and limiting downstream analysis. This work provides a systematic Bayesian perspective on orientation estimation, improving robustness to noise and enabling more accurate reconstructions and more reliable analysis of structural heterogeneity.