Noise reduction in CCD measurements by improving the quality of dark-reference images
Author(s) -
Tobias Heil,
G.J. Tatlock
Publication year - 2018
Publication title -
microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 52
eISSN - 2050-5701
pISSN - 2050-5698
DOI - 10.1093/jmicro/dfy006
Subject(s) - noise (video) , dark field microscopy , charge coupled device , dark frame subtraction , optics , noise reduction , transmission (telecommunications) , image noise , physics , computer science , materials science , microscopy , artificial intelligence , image processing , image (mathematics) , median filter , telecommunications
This publication is a systematic investigation of the effect the improvement of dark-reference images has on the resulting bright-field images. For this, data were acquired with three different charge-coupled device cameras attached to two different transmission electron microscopes. Multi-frame acquisitions and methods to correct x-ray noise are introduced and quantified as options to improve the dark-reference images. Furthermore, the influence of x-ray noise on transmission electron microscopy measurements is discussed and observations on its composition are shared.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom