2018
DOI: 10.1017/s1551929518000640
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Stereoscopic Effects from Single SEM Images

Abstract: Generation of three-dimensional SEM micrographs is traditionally based on a pair of images showing the object from two different perspectives. Here a method is described by which the 3D effect can be obtained from a single photograph. This technique is founded upon the principle of object-depth mapping, where different depth levels of the object are encoded with different colors. This process enables the creation of an image stack that forms the basis for the 3D image. Several photographic examples from differ… Show more

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Cited by 4 publications
(2 citation statements)
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“…Then, the specimen was tilted along a vertical axis (i.e., perpendicular to the axis joining both eyes of the observer) at 5° and/or 8°, and a second SEM image was recorded at the same magnification and WD. 17,18 Both SEM images were later merged and read into the xT microscope Control software (FEI, Hillsboro, OR, USA), turned into red and cyan images, and then overlapped using the "stereo pair" option. Figures 4 and S2 in the Supplementary Material show the red-cyan anaglyphs of different cavolinioidean species with sufficient parallax effects.…”
Section: Three-dimensional Images (Anaglyphs)mentioning
confidence: 99%
“…Then, the specimen was tilted along a vertical axis (i.e., perpendicular to the axis joining both eyes of the observer) at 5° and/or 8°, and a second SEM image was recorded at the same magnification and WD. 17,18 Both SEM images were later merged and read into the xT microscope Control software (FEI, Hillsboro, OR, USA), turned into red and cyan images, and then overlapped using the "stereo pair" option. Figures 4 and S2 in the Supplementary Material show the red-cyan anaglyphs of different cavolinioidean species with sufficient parallax effects.…”
Section: Three-dimensional Images (Anaglyphs)mentioning
confidence: 99%
“…Two recent articles in Microscopy Today describe methods that purport to produce three-dimensional (3D) information from single SEM images [1][2]. They are bogus.…”
mentioning
confidence: 99%