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Proceedings Paper

Autofocusing in microscopy systems using graphics processing units
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Paper Abstract

Autofocus is of fundamental importance for a real time automatic system. In many microscopy applications, a desired automatic system should provide the best focused image with enough accuracy and the least computation time. During the last years, several metrics based on images have been proposed for the autofocus process. Although many of these techniques present good results, their main limitations reside in the high computation time. Recently, the development of graphics processing units (GPUs) has given place to new scientific applications oriented to diminish the computational effort of the central processing unit (CPU). This manuscript presents the parallel implementation of eight different autofocus algorithms using GPUs for microscopy applications. The main objective of the proposed manuscript is to demonstrate that the use of GPUs can speed up the computational time required to perform the mentioned techniques. The reduction of computation time achieved with the proposed implementation suggests that graphics processing units can effectively be used for autofocus in real time microscopy.

Paper Details

Date Published: 26 September 2013
PDF: 9 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88562K (26 September 2013); doi: 10.1117/12.2024967
Show Author Affiliations
Juan C. Valdiviezo-N., Univ. Politécnica de Tulancingo (Mexico)
Jorge Hernández-Tapia, Univ. Politécnica de Tulancingo (Mexico)
Laura Mera-González, Univ. Politécnica de Tulancingo (Mexico)
Carina Toxqui-Quitl, Univ. Politécnica de Tulancingo (Mexico)
Alfonso Padilla-Vivanco, Univ. Politécnica de Tulancingo (Mexico)

Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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