2015
DOI: 10.1038/srep10317
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A posteriori correction of camera characteristics from large image data sets

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 da… Show more

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Cited by 26 publications
(22 citation statements)
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References 23 publications
(41 reference statements)
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“…Gain and dark references were calculated using the method described by Afanasyev et al (Afanasyev et al, 2015) and used to correct the collected movies in cisTEM (Grant et al, 2018). All further image processing was done using cisTEM.…”
Section: Cryo-em and Image Processingmentioning
confidence: 99%
“…Gain and dark references were calculated using the method described by Afanasyev et al (Afanasyev et al, 2015) and used to correct the collected movies in cisTEM (Grant et al, 2018). All further image processing was done using cisTEM.…”
Section: Cryo-em and Image Processingmentioning
confidence: 99%
“…We applied a flat-fielding technique (adapted from Ref. (Afanasyev et al 2015)) to compensate for spatial inhomogeneities in the CCG, caused by variations in the macromolecular density across the FOV, which, as searches for a decoy target Searching 547 images of the cellular periphery with the ribosomal large subunit (LSU) as the target, we found a total of 9,359 peaks, many extending well above the noise floor ( Fig. 2A).…”
mentioning
confidence: 99%
“…An a posteriori camera correction is then applied to minimize spurious correlations owing to camera imperfections (Afanasyev et al, 2015). Large data sets collected with the same camera reflect the characteristics of each individual pixel.…”
Section: Camera Correction and Data Pre-processingmentioning
confidence: 99%
“…This makes it necessary to apply extreme low-pass filters prior to movie alignments. An a posteriori camera correction (x2.3) significantly minimizes spurious correlations from such fixed background patterns and thus improves movie alignments (Afanasyev et al, 2015). We perform translational movie alignments on the full movie frames or, as was performed here, on extracted patch movies (1280 Â 1280).…”
Section: Movie Alignmentsmentioning
confidence: 99%
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