Open AccessA cross‐measurement procedure (CMP) for imaging of biological specimens by means of scanning tunnelling microscopy (STM)
Author(s) -
Diaspro A,
Gomez F,
Anguiano E,
Aguilar M
Publication year - 1994
Publication title -
bioimaging
Language(s) - English
Resource type - Journals
eISSN - 1361-6374
pISSN - 0966-9051
DOI - 10.1002/1361-6374(199406)2:2<93::aid-bio3>3.0.co;2-n
Subject(s) - software , scanning tunneling microscope , noise (video) , distortion (music) , calibration , computer science , filter (signal processing) , metrology , optics , microscopy , artificial intelligence , nanotechnology , computer vision , image (mathematics) , materials science , physics , optoelectronics , amplifier , programming language , cmos , quantum mechanics
The complexity both of the measurements and of the specimens, when scanning tunnelling microscopy (STM) is applied in biology, requires a careful analysis of the data in order to avoid the classification of artifacts as peculiarities of the sample. The potential for determining the structures of biomolecules and their complexes emphasizes the relevance of developing procedures for STM image enhancement. Some software procedures have focused attention on the correction of geometrical distortion arising in STM images. It is our opinion that the application of such procedures may become very difficult when the real images are surfaces different from those used for calibration, i.e. graphite or mica. We have developed a procedure for reducing artifacts in STM and for providing image enhancement. It can be considered a noise filter that can restore the real images without knowledge of noise type and of noise ratio. We have termed it cross‐measurement procedure (CMP). CMP can be considered as a mixing of software and hardware procedures. In fact, it is based on two measurements of the same image performed by exchanging the x and y axes and the origin.