Quantitative Stereovision in a Scanning Electron Microscope
Author(s) -
Ting Zhu,
Michael A. Sutton,
N. Li,
JeanJosé Orteu,
Nicolas Cornille,
Xiao Li,
A. P. Reynolds
Publication year - 2010
Publication title -
experimental mechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 87
eISSN - 1741-2765
pISSN - 0014-4851
DOI - 10.1007/s11340-010-9378-7
Subject(s) - materials science , optics , distortion (music) , standard deviation , magnification , microscope , planar , artificial intelligence , computer vision , computer science , physics , mathematics , amplifier , statistics , optoelectronics , cmos , computer graphics (images)
International audienceAccurate, 3D full-field measurements at the micron-level are of interest in a wide range of applications, including both facilitation of mechanical experiments at reduced length scales and accurate profiling of specimen surfaces. Scanning electron microscope systems (SEMs) are a natural platform for acquiring high magnification images for stereo-reconstruction. In this work, an integrated methodology for accurate three-dimensional metric reconstruction and deformation measurements using single column SEM imaging systems is described. In these studies, the specimen stage is rotated in order to obtain stereo views of the specimen as it undergoes mechanical or thermal loading. Simulations and preliminary experimental studies at 300x demonstrate that (a) spatially-varying image distortions can be removed from images using a non-parametric distortion model, (b) the system can be reliably calibrated using distortion-corrected images of a planar object and grid at various orientations and (c) specimen rotation variability during the measurement phase can be controlled so that baseline strain errors are within the range of +/- 150 A mu epsilon. Benchmark rigid body motion experiments using calibrated SEM views demonstrate that all components of strain in the reconstructed object have a mean value around O(10(-4)) and a random spatial distribution with standard deviation a parts per thousand aEuro parts per thousand 300 micro-strain
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