Asset Details
Do you wish to reserve the book?
Energy filtering enables macromolecular MicroED data at sub-atomic resolution
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Energy filtering enables macromolecular MicroED data at sub-atomic resolution
Do you wish to request the book?
Energy filtering enables macromolecular MicroED data at sub-atomic resolution
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Energy filtering enables macromolecular MicroED data at sub-atomic resolution
2025
Overview
High-resolution information is important for accurate structure modeling but is challenging to attain in macromolecular crystallography due to the rapid fading of diffracted intensities at increasing resolution. While direct electron detection essentially eliminates the read-out noise during MicroED data collection, other sources of noise remain and limit the measurement of faint high-resolution reflections. Inelastic scattering significantly contributes to noise, raising background levels and broadening diffraction peaks. We demonstrate a substantial improvement in signal-to-noise ratio by using energy filtering to remove inelastically scattered electrons. This strategy results in sub-atomic resolution MicroED data from proteinase K crystals, enabling the visualization of detailed structural features. Interestingly, reducing the noise further reveals diffuse scattering that may hold additional structural information. Our findings suggest that combining energy filtering and direct detection provides more accurate measurements at higher resolution, facilitating precise model refinement and improved insights into protein structure and function.
High-resolution data are crucial for accurate structural modeling. Here, authors enhance MicroED data quality using energy filtering, achieving sub-atomic resolution protein data and uncovering diffuse scattering, offering detailed insights into protein structure and function.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
