Imperial College London

ProfessorMarinvan Heel

Faculty of Natural SciencesDepartment of Life Sciences

Visiting Professor



+44 (0)20 7594 5316m.vanheel Website




Dr Audrey Geffen +44 (0)20 7594 5323




G20Flowers buildingSouth Kensington Campus






BibTex format

author = {Afanasyev, P and Ravelli, RBG and Matadeen, R and De, Carlo S and van, Duinen G and Alewijnse, B and Peters, PJ and Abrahams, J-P and Portugal, RV and Schatz, M and van, Heel M},
doi = {10.1038/srep10317},
journal = {Scientific Reports},
title = {A posteriori correction of camera characteristics from large image data sets},
url = {},
volume = {5},
year = {2015}

RIS format (EndNote, RefMan)

AB - 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.
AU - Afanasyev,P
AU - Ravelli,RBG
AU - Matadeen,R
AU - De,Carlo S
AU - van,Duinen G
AU - Alewijnse,B
AU - Peters,PJ
AU - Abrahams,J-P
AU - Portugal,RV
AU - Schatz,M
AU - van,Heel M
DO - 10.1038/srep10317
PY - 2015///
SN - 2045-2322
TI - A posteriori correction of camera characteristics from large image data sets
T2 - Scientific Reports
UR -
UR -
VL - 5
ER -