WikiSysop: Created page with "== Citation == Li, D., Zhang, X. and Jiang, W. 2025. Helicon: Helical parameter determination and 3D reconstruction from one image. J. Structural Biology. (2025), 108256. == Abstract == Helical symmetry is a common structural feature of many biological macromolecules. However, determination of the helical parameters and de novo 3D reconstruction remain challenging. We have developed a computational method, Helicon, which poses helical reconstruction as a linear regres..."

2025-12-22T08:33:40Z

Created page with "== Citation == Li, D., Zhang, X. and Jiang, W. 2025. Helicon: Helical parameter determination and 3D reconstruction from one image. J. Structural Biology. (2025), 108256. == Abstract == Helical symmetry is a common structural feature of many biological macromolecules. However, determination of the helical parameters and de novo 3D reconstruction remain challenging. We have developed a computational method, Helicon, which poses helical reconstruction as a linear regres..."

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== Citation ==

Li, D., Zhang, X. and Jiang, W. 2025. Helicon: Helical parameter determination and 3D reconstruction from one image. J. Structural Biology. (2025), 108256.

== Abstract ==

Helical symmetry is a common structural feature of many biological macromolecules. However, determination of
the helical parameters and de novo 3D reconstruction remain challenging. We have developed a computational
method, Helicon, which poses helical reconstruction as a linear regression problem with the projection matrix
parameterized by the helical twist, rise, and axial symmetry. A sparse search of the twist and rise parameters
would allow determination of helical parameters and 3D reconstruction directly from one 2D class average or a
raw cryo-EM image. The Helicon method has been validated with simulation tests and experimental cryo-EM
images of helical tubes, non-amyloid filaments, and amyloid fibrils. Imaging stitching and L1 regularization of
linear regression were shown to improve the robustness for low-twist amyloids and noisy raw cryo-EM images.
Using Helicon, we could successfully determine the helical parameters and perform de novo reconstruction of a
previously unreported, low-abundance tau amyloid structure from a publicly available dataset.

== Keywords ==

== Links ==

https://www.sciencedirect.com/science/article/pii/S1047847725000917

== Related software ==

== Related methods ==

== Comments ==

2025Li Helicon - Revision history