Autofocus evaluation for brightfield microscopy pathology

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 -axis positions. The focus function and its computation t...

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Bibliographic Details
Published in:Journal of Biomedical Optics 2012-03, Vol.17 (3), p.036008-036008
Main Authors: Redondo, Rafael, Bueno, Gloria, Valdiviezo, Juan Carlos, Nava, Rodrigo, Cristo´bal, Gabriel, De´niz, Oscar, Garci´a-Rojo, Marcial, Salido, Jesus, Ferna´ndez, Maria del Milagro, Vidal, Juan, Escalante-Rami´rez, Boris
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
anatomical pathology
autofocusing
Brain - pathology
Computational efficiency
Criteria
Focusing
Histological Techniques - methods
histopathology
Humans
Image Processing, Computer-Assisted
Light
Lung - pathology
Male
Mathematical analysis
Mathematical models
Microscopy
Microscopy - instrumentation
Microscopy - methods
Pathology
Pathology - instrumentation
Pathology - methods
Prostate - pathology
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Summary: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 -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.
ISSN:1083-3668
1560-2281
DOI:10.1117/1.JBO.17.3.036008