English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Significance X-ray nanocrystallography is a powerful imaging technique which is able to determine the atomic structure of a macromolecule from a large ensemble of nanocrystals. Determining structure from this ensemble is challenging because the images are noisy, and individual crystal sizes, orientations, and incident photon flux densities are unknown. Additionally, lattice symmetries may lead to orientation ambiguities. Here, we show how to determine crystal size, incident photon flux density, and crystal orientation from noisy data. We also demonstrate that these data can be used to perform reconstruction without extra experimental requirements, atomicity assumptions, or knowledge of similar structures.

Algorithmic framework for X-ray nanocrystallographic reconstruction in the presence of the indexing ambiguity