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The resulting topography measurements were compared with Scanning Electron Microscope images to demonstrate the accuracy of the scanner.
In addition to design, rather than using benchmark geometry to only assess the accuracy of the scanner, data obtained from a known geometric model are used to modify the scanner parameters to obtain optimal results.
For this study, two setups were used: In the first setup two representations, PTM dome images and 3D colour laser scanning were combined to produce a digital elevation map of each coin with the accuracy of the scanner and the fine detail of the photography.
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The accuracy range of the scanner has been established through multiple digitizations showing the dependence on influential factors such as the characteristics of the object and scanning procedure.
The accuracy of these scanners has been proven in the hands of experts.
However, the accuracy of these scanners is variable, and little information is available.
In the end, the hand count will be checked against the machine count to determine the accuracy of the optical scanners.
By utilising four quantitative analyses, the results verify the ability of the developed calibration method to improve the accuracy of terrestrial laser scanner measurements in the field.
In addition to indicating that simple PWM scanning might be as accurate (at least in yeast) as PMM scanning, the accuracy of PMM scanners at predicting the known binding sites was orders of magnitude less than it should theoretically be, assuming that binding sites are not lost and that the multiple alignments are reasonably accurate.
Overall, image quality and quantitative accuracy depend on the size of the scanner's FOV, the size and number of animals imaged and their position within the FOV, and the performance of reconstruction and correction algorithms.
Knowing the accuracy of laser scanners is imperative to select the best scanner to generate bone models.
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