Autofocusing technologies for whole slide imaging and automated microscopy. Issue 12 (18th September 2020)
- Record Type:
- Journal Article
- Title:
- Autofocusing technologies for whole slide imaging and automated microscopy. Issue 12 (18th September 2020)
- Main Title:
- Autofocusing technologies for whole slide imaging and automated microscopy
- Authors:
- Bian, Zichao
Guo, Chengfei
Jiang, Shaowei
Zhu, Jiakai
Wang, Ruihai
Song, Pengming
Zhang, Zibang
Hoshino, Kazunori
Zheng, Guoan - Abstract:
- Abstract: Whole slide imaging (WSI) has moved digital pathology closer to diagnostic practice in recent years. Due to the inherent tissue topography variability, accurate autofocusing remains a critical challenge for WSI and automated microscopy systems. The traditional focus map surveying method is limited in its ability to acquire a high degree of focus points while still maintaining high throughput. Real‐time approaches decouple image acquisition from focusing, thus allowing for rapid scanning while maintaining continuous accurate focus. This work reviews the traditional focus map approach and discusses the choice of focus measure for focal plane determination. It also discusses various real‐time autofocusing approaches including reflective‐based triangulation, confocal pinhole detection, low‐coherence interferometry, tilted sensor approach, independent dual sensor scanning, beam splitter array, phase detection, dual‐LED illumination and deep‐learning approaches. The technical concepts, merits and limitations of these methods are explained and compared to those of a traditional WSI system. This review may provide new insights for the development of high‐throughput automated microscopy imaging systems that can be made broadly available and utilizable without loss of capacity. Abstract : A fundamental challenge with automated microscopy and high‐throughput imaging has been the ability to acquire high‐quality, in‐focus images at high speed. This review article discussesAbstract: Whole slide imaging (WSI) has moved digital pathology closer to diagnostic practice in recent years. Due to the inherent tissue topography variability, accurate autofocusing remains a critical challenge for WSI and automated microscopy systems. The traditional focus map surveying method is limited in its ability to acquire a high degree of focus points while still maintaining high throughput. Real‐time approaches decouple image acquisition from focusing, thus allowing for rapid scanning while maintaining continuous accurate focus. This work reviews the traditional focus map approach and discusses the choice of focus measure for focal plane determination. It also discusses various real‐time autofocusing approaches including reflective‐based triangulation, confocal pinhole detection, low‐coherence interferometry, tilted sensor approach, independent dual sensor scanning, beam splitter array, phase detection, dual‐LED illumination and deep‐learning approaches. The technical concepts, merits and limitations of these methods are explained and compared to those of a traditional WSI system. This review may provide new insights for the development of high‐throughput automated microscopy imaging systems that can be made broadly available and utilizable without loss of capacity. Abstract : A fundamental challenge with automated microscopy and high‐throughput imaging has been the ability to acquire high‐quality, in‐focus images at high speed. This review article discusses different autofocusing approaches for automated microscopy and whole slide imaging (WSI). The technical concepts, merits and limitations of these methods are explained and compared to those of a traditional WSI system. … (more)
- Is Part Of:
- Journal of biophotonics. Volume 13:Issue 12(2020)
- Journal:
- Journal of biophotonics
- Issue:
- Volume 13:Issue 12(2020)
- Issue Display:
- Volume 13, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 13
- Issue:
- 12
- Issue Sort Value:
- 2020-0013-0012-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-09-18
- Subjects:
- deep learning -- digital pathology -- focus map -- focus quality -- whole slide imaging
Photonics -- Periodicals
Optical materials -- Periodicals
Optics -- Periodicals
Medical instruments and apparatus -- Periodicals
621.3605 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1864-0648 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jbio.202000227 ↗
- Languages:
- English
- ISSNs:
- 1864-063X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21946.xml