Autofocus method for automated microscopy using embedded GPUs

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Title: Autofocus method for automated microscopy using embedded GPUs
Authors: Castillo-Secilla, José María | Saval-Calvo, Marcelo | Medina-Valdés, Luis | Cuenca-Asensi, Sergio | Martínez-Álvarez, Antonio | Sánchez, Carlos | Cristóbal, Gabriel
Research Group/s: Informática Industrial y Redes de Computadores | UniCAD: Grupo de Investigación en CAD/CAM/CAE de la Universidad de Alicante
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Instituto Universitario de Investigación Informática
Keywords: Image processing | Microscopy | Vision, color, and visual optics
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 1-Mar-2017
Publisher: Optical Society of America
Citation: Biomedical Optics Express. 2017, 8(3): 1731-1740. doi:10.1364/BOE.8.001731
Abstract: In this paper we present a method for autofocusing images of sputum smears taken from a microscope which combines the finding of the optimal focus distance with an algorithm for extending the depth of field (EDoF). Our multifocus fusion method produces an unique image where all the relevant objects of the analyzed scene are well focused, independently to their distance to the sensor. This process is computationally expensive which makes unfeasible its automation using traditional embedded processors. For this purpose a low-cost optimized implementation is proposed using limited resources embedded GPU integrated on cutting-edge NVIDIA system on chip. The extensive tests performed on different sputum smear image sets show the real-time capabilities of our implementation maintaining the quality of the output image.
Sponsor: This work has been partly supported by the Spanish grant CTM2014-51907.
ISSN: 2156-7085
DOI: 10.1364/BOE.8.001731
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2017 Optical Society of America
Peer Review: si
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Appears in Collections:INV - I2RC - Artículos de Revistas
INV - UNICAD - Artículos de Revistas

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