1Consejo Superior de Investigaciones Científicas (Spain) 2Univ. de Castilla-La Mancha (Spain) 3Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico) 4Univ. Nacional Autónoma de México (Mexico) 5Hospital General Univ. de Ciuda (Spain)
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
An essential and indispensable component of automated microscopy framework is the automatic focusing system, which determines the in-focus position of a given field of view by searching the maximum value of a focusing function over a range of z-axis positions. The focus function and its computation time are crucial to the accuracy and efficiency of the system. Sixteen focusing algorithms were analyzed for histological and histopathological images. In terms of accuracy, results have shown an overall high performance by most of the methods. However, we included in the evaluation study other criteria such as computational cost and focusing curve shape which are crucial for real-time applications and were used to highlight the best practices.
The alert did not successfully save. Please try again later.
Rafael Redondo, Gabriel Cristóbal, Gloria Bueno Garcia, Oscar Deniz, Jesus Salido, Maria del Milagro Fernandez, Juan Vidal, Juan Carlos Valdiviezo, Rodrigo Nava, Boris Escalante-Ramírez, Marcial Garcia-Rojo, "Autofocus evaluation for brightfield microscopy pathology," J. Biomed. Opt. 17(3) 036008 (26 March 2012) https://doi.org/10.1117/1.JBO.17.3.036008