Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Automated identification and classification of single particle serial femtosecond X-ray diffraction data
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
Show others and affiliations
2014 (English)In: Optics Express, ISSN 1094-4087, E-ISSN 1094-4087, Vol. 22, no 3, 2497-2510 p.Article in journal (Refereed) Published
Abstract [en]

The first hard X-ray laser, the Linac Coherent Light Source (LCLS), produces 120 shots per second. Particles injected into the X-ray beam are hit randomly and in unknown orientations by the extremely intense X-ray pulses, where the femtosecond-duration X-ray pulses diffract from the sample before the particle structure is significantly changed even though the sample is ultimately destroyed by the deposited X-ray energy. Single particle X-ray diffraction experiments generate data at the FEL repetition rate, resulting in more than 400,000 detector readouts in an hour, the data stream during an experiment contains blank frames mixed with hits on single particles, clusters and contaminants. The diffraction signal is generally weak and it is superimposed on a low but continually fluctuating background signal, originating from photon noise in the beam line and electronic noise from the detector. Meanwhile, explosion of the sample creates fragments with a characteristic signature. Here, we describe methods based on rapid image analysis combined with ion Time-of-Flight (ToF) spectroscopy of the fragments to achieve an efficient, automated and unsupervised sorting of diffraction data. The studies described here form a basis for the development of real-time frame rejection methods, e. g. for the European XFEL, which is expected to produce 100 million pulses per hour. (C)2014 Optical Society of America

Place, publisher, year, edition, pages
2014. Vol. 22, no 3, 2497-2510 p.
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:uu:diva-222943DOI: 10.1364/OE.22.002497ISI: 000332518100035OAI: oai:DiVA.org:uu-222943DiVA: diva2:712567
Available from: 2014-04-15 Created: 2014-04-15 Last updated: 2017-12-05Bibliographically approved

Open Access in DiVA

fulltext(3052 kB)255 downloads
File information
File name FULLTEXT01.pdfFile size 3052 kBChecksum SHA-512
24128e9534b52df84ad4b1612c35f2ad768e5ea0d817b11b85ded34c86ebe584d5af59d513a6b7fd23b5ebef5992eca65580757fc646f7fe6b0b35d9c72c242d
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Andreasson, JakobTimneanu, NicusorSvenda, MartinEkeberg, TomasHantke, MaxBielecki, JohanHajdu, Janos
By organisation
Molecular biophysics
In the same journal
Optics Express
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 255 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 730 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf