Literature DB >> 27896014

Single-frame rapid autofocusing for brightfield and fluorescence whole slide imaging.

Jun Liao1, Liheng Bian2, Zichao Bian1, Zibang Zhang3, Charmi Patel1, Kazunori Hoshino1, Yonina C Eldar4, Guoan Zheng1.   

Abstract

A critical consideration for whole slide imaging (WSI) platform is to perform accurate autofocusing at high speed. Typical WSI systems acquire a z-stack of sample images and determine the best focal position by maximizing a figure of merit. This strategy, however, has suffered from several limitations, including low speed due to multiple image acquisitions, relatively low accuracy of focal plane estimation, short axial range for autofocusing, and difficulties in handling transparent samples. By exploring the autocorrelation property of the tissue sections, we report a novel single-frame autofocusing scheme to address the above challenges. In this approach, we place a two-pinhole-modulated camera at the epi-illumination arm. The captured image contains two copies of the sample separated by a certain distance. By identifying this distance, we can recover the defocus distance of the sample over a long z-range without z-scanning. To handle transparent samples, we set an offset distance to the autofocusing camera for generating out-of-focus contrast in the captured image. The single-frame nature of our scheme allows autofocusing even when the stage is in continuous motion. We demonstrate the use of the our autofocusing scheme for fluorescence WSI and quantify the focusing performance on 1550 different tissue tiles. The average autofocusing error is ~0.11 depth-of-field, 3 folds better than that of conventional methods. We report an autofocusing speed of 0.037 s per tile, which is much faster than that of conventional methods. The autofocusing range is ~80 µm, 8 folds longer than that of conventional methods. The reported scheme is able to solve the autofocusing challenges in WSI systems and may find applications in high-throughput brightfield/fluorescence WSI.

Entities:  

Keywords:  (100.3010) Image reconstruction techniques; (170.0110) Imaging systems; (180.0180) Microscopy

Year:  2016        PMID: 27896014      PMCID: PMC5119614          DOI: 10.1364/BOE.7.004763

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  8 in total

1.  Comparison of autofocus methods for automated microscopy.

Authors:  L Firestone; K Cook; K Culp; N Talsania; K Preston
Journal:  Cytometry       Date:  1991

2.  InstantScope: a low-cost whole slide imaging system with instant focal plane detection.

Authors:  Kaikai Guo; Jun Liao; Zichao Bian; Xin Heng; Guoan Zheng
Journal:  Biomed Opt Express       Date:  2015-08-04       Impact factor: 3.732

3.  Simple and robust image-based autofocusing for digital microscopy.

Authors:  Siavash Yazdanfar; Kevin B Kenny; Krenar Tasimi; Alex D Corwin; Elizabeth L Dixon; Robert J Filkins
Journal:  Opt Express       Date:  2008-06-09       Impact factor: 3.894

4.  An algorithm for microscopic specimen delineation and focus candidate selection.

Authors:  Yilun Fan; Yaniv Gal; Andrew P Bradley
Journal:  Micron       Date:  2014-06-02       Impact factor: 2.251

Review 5.  Validating whole slide imaging for diagnostic purposes in pathology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center.

Authors:  Liron Pantanowitz; John H Sinard; Walter H Henricks; Lisa A Fatheree; Alexis B Carter; Lydia Contis; Bruce A Beckwith; Andrew J Evans; Avtar Lal; Anil V Parwani
Journal:  Arch Pathol Lab Med       Date:  2013-05-01       Impact factor: 5.534

6.  The accuracy of dynamic predictive autofocusing for whole slide imaging.

Authors:  Richard R McKay; Vipul A Baxi; Michael C Montalto
Journal:  J Pathol Inform       Date:  2011-08-24

7.  Autofocus methods of whole slide imaging systems and the introduction of a second-generation independent dual sensor scanning method.

Authors:  Michael C Montalto; Richard R McKay; Robert J Filkins
Journal:  J Pathol Inform       Date:  2011-10-19

8.  Primary histologic diagnosis using automated whole slide imaging: a validation study.

Authors:  John R Gilbertson; Jonhan Ho; Leslie Anthony; Drazen M Jukic; Yukako Yagi; Anil V Parwani
Journal:  BMC Clin Pathol       Date:  2006-04-27
  8 in total
  6 in total

Review 1.  Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.

Authors:  Michelle A Wood-Trageser; Andrew J Lesniak; Anthony J Demetris
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

2.  Angular light modulator using optical blinds.

Authors:  Zichao Bian; Soliman Alhudaithy; Zhe Wang; Zibang Zhang; Kaikai Guo; Liheng Bian; Yuji Tomizawa; Peter Satonick; Kazunori Hoshino; Guoan Zheng
Journal:  Opt Express       Date:  2016-12-12       Impact factor: 3.894

3.  Dual light-emitting diode-based multichannel microscopy for whole-slide multiplane, multispectral and phase imaging.

Authors:  Jun Liao; Zhe Wang; Zibang Zhang; Zichao Bian; Kaikai Guo; Aparna Nambiar; Yutong Jiang; Shaowei Jiang; Jingang Zhong; Michael Choma; Guoan Zheng
Journal:  J Biophotonics       Date:  2017-08-07       Impact factor: 3.207

4.  Transform- and multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging.

Authors:  Shaowei Jiang; Jun Liao; Zichao Bian; Kaikai Guo; Yongbing Zhang; Guoan Zheng
Journal:  Biomed Opt Express       Date:  2018-03-08       Impact factor: 3.732

5.  Deep learning-based single-shot autofocus method for digital microscopy.

Authors:  Jun Liao; Xu Chen; Ge Ding; Pei Dong; Hu Ye; Han Wang; Yongbing Zhang; Jianhua Yao
Journal:  Biomed Opt Express       Date:  2021-12-14       Impact factor: 3.732

6.  Rapid and robust whole slide imaging based on LED-array illumination and color-multiplexed single-shot autofocusing.

Authors:  Shaowei Jiang; Zichao Bian; Xizhi Huang; Pengming Song; He Zhang; Yongbing Zhang; Guoan Zheng
Journal:  Quant Imaging Med Surg       Date:  2019-05
  6 in total

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