Literature DB >> 22502566

Autofocus evaluation for brightfield microscopy pathology.

Rafael Redondo1, Gloria Bueno, Juan Carlos Valdiviezo, Rodrigo Nava, Gabriel Cristóbal, Oscar Déniz, Marcial García-Rojo, Jesus Salido, Maria del Milagro Fernández, Juan Vidal, Boris Escalante-Ramírez.   

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.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).

Mesh:

Year:  2012        PMID: 22502566     DOI: 10.1117/1.JBO.17.3.036008

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  7 in total

1.  Compact multi-band fluorescent microscope with an electrically tunable lens for autofocusing.

Authors:  Zhaojun Wang; Ming Lei; Baoli Yao; Yanan Cai; Yansheng Liang; Yanlong Yang; Xibin Yang; Hui Li; Daxi Xiong
Journal:  Biomed Opt Express       Date:  2015-10-14       Impact factor: 3.732

2.  Whole slide imaging system using deep learning-based automated focusing.

Authors:  Tathagato Rai Dastidar; Renu Ethirajan
Journal:  Biomed Opt Express       Date:  2019-12-23       Impact factor: 3.732

3.  Parallel implementations to accelerate the autofocus process in microscopy applications.

Authors:  Juan C Valdiviezo-N; Francisco J Hernandez-Lopez; Carina Toxqui-Quitl
Journal:  J Med Imaging (Bellingham)       Date:  2020-01-17

4.  FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure.

Authors:  Madhu S Sigdel; Madhav Sigdel; Semih Dinç; Imren Dinç; Marc L Pusey; Ramazan S Aygün
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016 Mar-Apr       Impact factor: 3.710

5.  Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines.

Authors:  Michael S Smirnov; Paul R Evans; Tavita R Garrett; Long Yan; Ryohei Yasuda
Journal:  PLoS One       Date:  2017-01-23       Impact factor: 3.240

Review 6.  A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification.

Authors:  Teresa Conceição; Cristiana Braga; Luís Rosado; Maria João M Vasconcelos
Journal:  Int J Mol Sci       Date:  2019-10-15       Impact factor: 5.923

7.  A Method for Medical Microscopic Images' Sharpness Evaluation Based on NSST and Variance by Combining Time and Frequency Domains.

Authors:  Xuecheng Wu; Houkui Zhou; Huimin Yu; Roland Hu; Guangqun Zhang; Junguo Hu; Tao He
Journal:  Sensors (Basel)       Date:  2022-10-07       Impact factor: 3.847

  7 in total

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