Analysing atomic structure in nano-scale imagery
Date
2017-01-01
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Abstract
This thesis presents methods for both detecting atoms and reconstructing single layer molecular
geometry depicted within high resolution nanoscale imagery. Nanoscale imaging is a common
method of analysing molecular structures produced through self-assembly. The second derivatives
of the nanoscale images are then computed and used to aid in analysis of the depicted
molecules. Peaks from the derivative images are used as the locations of the atoms and using
those locations we derive the molecular geometry. In order to efficiently determine the performance
of our proposed methods, a system to synthesize HRTEM imagery and ground truth
data was developed. We demonstrate and compare the effectiveness of our system to other
proposed systems using both experimentally produced nanoscale images and the synthetic data
that has been produced.
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Keywords
Computer-vision, Nanoscale, Atom, Image-processing, Image