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A posteriori correction of camera characteristics from large image data sets

Afanasyev, Pavel and Ravelli, Raimond B. G. and Matadeen, Rishi and De Carlo, Sacha and van Duinen, Gijs and Alewijnse, Bart and Peters, Peter J. and Abrahams, Jan-Pieter and Portugal, Rodrigo V. and Schatz, Michael and van Heel, Marin. (2015) A posteriori correction of camera characteristics from large image data sets. Scientific Reports, 5. p. 10317.

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Official URL: http://edoc.unibas.ch/40341/

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Abstract

Large datasets are emerging in many fields of image processing including: electron microscopy, light microscopy, medical X-ray imaging, astronomy, etc. Novel computer-controlled instrumentation facilitates the collection of very large datasets containing thousands of individual digital images. In single-particle cryogenic electron microscopy ("cryo-EM"), for example, large datasets are required for achieving quasi-atomic resolution structures of biological complexes. Based on the collected data alone, large datasets allow us to precisely determine the statistical properties of the imaging sensor on a pixel-by-pixel basis, independent of any "a priori" normalization routinely applied to the raw image data during collection ("flat field correction"). Our straightforward "a posteriori" correction yields clean linear images as can be verified by Fourier Ring Correlation (FRC), illustrating the statistical independence of the corrected images over all spatial frequencies. The image sensor characteristics can also be measured continuously and used for correcting upcoming images.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Nano-diffraction of Biological Specimen (Abrahams)
UniBasel Contributors:Abrahams, Jan Pieter
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Nature Publishing Group
e-ISSN:2045-2322
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:12 Oct 2017 09:42
Deposited On:20 Jun 2016 09:31

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