WikiSysop: Created page with "== Citation == G. Weiss-Dicker, A. Eldar, Y. Shkolinsky, and T. Bendory, “Unsupervised particle sorting for cryo-EM using probabilistic PCA,” in 2023 IEEE 20th Intl. Symposium on Biomedical Imaging (ISBI), IEEE, 2023, pp. 1–5. == Abstract == Single-particle cryo-electron microscopy (cryo-EM) is a leading technology to resolve the structure of molecules. Early in the process, the user detects potential particle images in the raw data. Typically, there are many fa..."

2024-12-23T19:50:41Z

Created page with "== Citation == G. Weiss-Dicker, A. Eldar, Y. Shkolinsky, and T. Bendory, “Unsupervised particle sorting for cryo-EM using probabilistic PCA,” in 2023 IEEE 20th Intl. Symposium on Biomedical Imaging (ISBI), IEEE, 2023, pp. 1–5. == Abstract == Single-particle cryo-electron microscopy (cryo-EM) is a leading technology to resolve the structure of molecules. Early in the process, the user detects potential particle images in the raw data. Typically, there are many fa..."

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== Citation ==

G. Weiss-Dicker, A. Eldar, Y. Shkolinsky, and T. Bendory, “Unsupervised particle sorting for cryo-EM using probabilistic PCA,” in 2023 IEEE 20th Intl. Symposium on Biomedical Imaging (ISBI), IEEE, 2023, pp. 1–5.

== Abstract ==

Single-particle cryo-electron microscopy (cryo-EM) is a leading
technology to resolve the structure of molecules. Early
in the process, the user detects potential particle images in
the raw data. Typically, there are many false detections as a
result of high levels of noise and contamination. Currently,
removing the false detections requires human intervention
to sort the hundred thousands of images. We propose a
statistically-established unsupervised algorithm to remove
non-particle images. We model the particle images as a union
of low-dimensional subspaces, assuming non-particle images
are arbitrarily scattered in the high-dimensional space. The
algorithm is based on an extension of the probabilistic PCA
framework to robustly learn a non-linear model of union of
subspaces. This provides a flexible model for cryo-EM data,
and allows to automatically remove images that correspond
to pure noise and contamination. Numerical experiments
corroborate the effectiveness of the sorting algorithm.

== Keywords ==

== Links ==

https://ieeexplore.ieee.org/abstract/document/10230736

== Related software ==

== Related methods ==

== Comments ==

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