R. Redondo, M. G. Bueno, J. Valdiviezo, R. Nava, G. Cristóbal, M. Garcia, O. Deniz, B. Escalante-Ramírez
{"title":"Evaluation of autofocus measures for microscopy images of biopsy and cytology","authors":"R. Redondo, M. G. Bueno, J. Valdiviezo, R. Nava, G. Cristóbal, M. Garcia, O. Deniz, B. Escalante-Ramírez","doi":"10.1117/12.903314","DOIUrl":null,"url":null,"abstract":"An essential and indispensable component of automated microscopy is the automatic focusing system, which determines the in-focus position of a given field of view by searching for the maximal of an autofocus function over a range of z-axis positions. The autofocus function and its computation time are crucial to the accuracy and efficiency of the system. In this paper, we analyze and evaluate fifteen autofocus algorithms for biopsy and cytology microscopy images, ranging from the already well known methods to those proposed recently. Results have shown that there is a trade-off between computational cost and accuracy. Finally, the error committed by each of the algorithms is presented.","PeriodicalId":320610,"journal":{"name":"The International Commission for Optics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Commission for Optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.903314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
An essential and indispensable component of automated microscopy is the automatic focusing system, which determines the in-focus position of a given field of view by searching for the maximal of an autofocus function over a range of z-axis positions. The autofocus function and its computation time are crucial to the accuracy and efficiency of the system. In this paper, we analyze and evaluate fifteen autofocus algorithms for biopsy and cytology microscopy images, ranging from the already well known methods to those proposed recently. Results have shown that there is a trade-off between computational cost and accuracy. Finally, the error committed by each of the algorithms is presented.