English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Reference-enhanced x-ray single-particle imaging

Ayyer, K. (2020). Reference-enhanced x-ray single-particle imaging. Optica, 7(6), 593-601. doi:10.1364/OPTICA.391373.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0006-4FAF-E Version Permalink: http://hdl.handle.net/21.11116/0000-0006-6D0B-5
Genre: Journal Article

Files

show Files
hide Files
:
optica-7-6-593.pdf (Publisher version), 3MB
Name:
optica-7-6-593.pdf
Description:
Open Access
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2020
Copyright Info:
© Optical Society of America

Locators

show
hide
Locator:
https://arxiv.org/abs/2002.10267 (Preprint)
Description:
-
Locator:
https://dx.doi.org/10.1364/OPTICA.391373 (Publisher version)
Description:
-

Creators

show
hide
 Creators:
Ayyer, K.1, 2, 3, Author              
Affiliations:
1Computational Nanoscale Imaging, Condensed Matter Dynamics Department, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society, ou_3012829              
2Center for Free-Electron Laser Science, ou_persistent22              
3The Hamburg Center for Ultrafast Imaging, Universität Hamburg, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: X-ray single-particle imaging involves the measurement of a large number of noisy diffraction patterns of isolated objects in random orientations. The missing information about these patterns is then computationally recovered in order to obtain the 3D structure of the particle. While the method has promised to deliver room-temperature structures at near-atomic resolution, there have been significant experimental hurdles in collecting data of sufficient quality and quantity to achieve this goal. This paper describes two ways to modify the conventional methodology that significantly ease the experimental challenges, at the cost of additional computational complexity in the reconstruction procedure. Both these methods involve the use of holographic reference objects in close proximity to the sample of interest, whose structure can be described with only a few parameters. A reconstruction algorithm for recovering the unknown degrees of freedom is also proposed and tested with toy model simulations. The techniques proposed here enable 3D imaging of biomolecules that is not possible with conventional methods and open up a new family of methods for recovering structures from datasets with a variety of hidden parameters.

Details

show
hide
Language(s): eng - English
 Dates: 2020-04-232020-02-252020-04-252020-05-27
 Publication Status: Published online
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: arXiv: 2002.10267
DOI: 10.1364/OPTICA.391373
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Optica
  Abbreviation : Optica
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, DC, United States : The Optical Society
Pages: 9 Volume / Issue: 7 (6) Sequence Number: - Start / End Page: 593 - 601 Identifier: ISSN: 2334-2536
CoNE: https://pure.mpg.de/cone/journals/resource/2334-2536