Please use this identifier to cite or link to this item: https://doi.org/10.1038/sdata.2016.58
Title: Open data set of live cyanobacterial cells imaged using an X-ray laser
Authors: Van Der Schot, G
Svenda, M
Maia, F.R.N.C
Keywords: nanoparticle
protein
cells
cyanobacterium
electron
laser
molecular model
pulse rate
theoretical model
time factor
X ray
X ray crystallography
X ray diffraction
Cells
Crystallography, X-Ray
Cyanobacteria
Electrons
Lasers
Models, Molecular
Models, Theoretical
Nanoparticles
Proteins
Pulse
Time Factors
X-Ray Diffraction
X-Rays
Issue Date: 2016
Citation: Van Der Schot, G, Svenda, M, Maia, F.R.N.C (2016). Open data set of live cyanobacterial cells imaged using an X-ray laser. Scientific Data 3 : 160058. ScholarBank@NUS Repository. https://doi.org/10.1038/sdata.2016.58
Rights: Attribution 4.0 International
Abstract: Structural studies on living cells by conventional methods are limited to low resolution because radiation damage kills cells long before the necessary dose for high resolution can be delivered. X-ray free-electron lasers circumvent this problem by outrunning key damage processes with an ultra-short and extremely bright coherent X-ray pulse. Diffraction-before-destruction experiments provide high-resolution data from cells that are alive when the femtosecond X-ray pulse traverses the sample. This paper presents two data sets from micron-sized cyanobacteria obtained at the Linac Coherent Light Source, containing a total of 199,000 diffraction patterns. Utilizing this type of diffraction data will require the development of new analysis methods and algorithms for studying structure and structural variability in large populations of cells and to create abstract models. Such studies will allow us to understand living cells and populations of cells in new ways. New X-ray lasers, like the European XFEL, will produce billions of pulses per day, and could open new areas in structural sciences. © The Author(s) 2016.
Source Title: Scientific Data
URI: https://scholarbank.nus.edu.sg/handle/10635/178883
ISSN: 20524463
DOI: 10.1038/sdata.2016.58
Rights: Attribution 4.0 International
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