Evaluation of autofocus measures for microscopy images of biopsy and cytology

Redondo, Rafael; Bueno, Gloria; Valdiviezo, Juan Carlos; Nava, Rodrigo; Cristóbal, Gabriel; Garcı́a, M. Teresa; Déniz, Óscar; Escalante-Ramı́rez, Boris

doi:10.1117/12.903314

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…For a specific application, the election of a particular autofocus method will depend on two main aspects: the accuracy error and the computation time (see Redondo et al 6 for some preliminary results). Both criteria are important, but other features such as the number of local maxima, width of the focus curve or noise/illumination robustness can play a crucial role in automatic slide screening.…”

Section: Introductionmentioning

confidence: 99%

Autofocus evaluation for brightfield microscopy pathology

et al. 2012

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Abstract. 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.

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Section: Introductionmentioning

confidence: 99%

Autofocus evaluation for brightfield microscopy pathology

et al. 2012

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“…To further investigate the performance of the proposed autofocusing algorithm, Brenner gradient (Redondo et al, ), variance (Liu et al, ), and our method are evaluated by using accuracy, width ratio, unimodality and dynamic range. The results with the average values by fifty measurements without image preprocessing under bright field are shown in Figure .…”

Section: The Results and Discussionmentioning

confidence: 99%

A novel autofocusing method using the angle of hilbert space for microscopy

Tan

Sun

Xie

et al. 2014

Microscopy Res & Technique

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Autofocusing technology is indispensable for routine use of microscopes on a large scale in biological field. The autofocusing method using the angle of Hilbert space is brought forward to measure whether the image is focused or not. The angle of Hillbert space can be used to evaluate accurately the similarity degree of two images. The experiment results show that the autofocusing method can decrease the computational cost and get accuracy for real-time biological and biomedical images with noise robustness. The focus curves are smooth and possess the unimodality, the monotonicity and the symmetry. Compared with other classic and optimum focus method, the Hilbert method demonstrates its robustness to noise and can improve the focus speed. The experiments showed that the proposed method can increase the overall performance of an autofocus system and has strong applicability in various autofocusing algorithms.

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Auto-focus pathology microscope using sub-array sampling

Weng

Cheng

2019

2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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Evaluation of autofocus measures for microscopy images of biopsy and cytology

Cited by 5 publications

References 13 publications

Autofocus evaluation for brightfield microscopy pathology

Autofocus evaluation for brightfield microscopy pathology

A novel autofocusing method using the angle of hilbert space for microscopy

Auto-focus pathology microscope using sub-array sampling

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