Literature DB >> 25978139

Applications and challenges of digital pathology and whole slide imaging.

C Higgins1.   

Abstract

Virtual microscopy is a method for digitizing images of tissue on glass slides and using a computer to view, navigate, change magnification, focus and mark areas of interest. Virtual microscope systems (also called digital pathology or whole slide imaging systems) offer several advantages for biological scientists who use slides as part of their general, pharmaceutical, biotechnology or clinical research. The systems usually are based on one of two methodologies: area scanning or line scanning. Virtual microscope systems enable automatic sample detection, virtual-Z acquisition and creation of focal maps. Virtual slides are layered with multiple resolutions at each location, including the highest resolution needed to allow more detailed review of specific regions of interest. Scans may be acquired at 2, 10, 20, 40, 60 and 100 × or a combination of magnifications to highlight important detail. Digital microscopy starts when a slide collection is put into an automated or manual scanning system. The original slides are archived, then a server allows users to review multilayer digital images of the captured slides either by a closed network or by the internet. One challenge for adopting the technology is the lack of a universally accepted file format for virtual slides. Additional challenges include maintaining focus in an uneven sample, detecting specimens accurately, maximizing color fidelity with optimal brightness and contrast, optimizing resolution and keeping the images artifact-free. There are several manufacturers in the field and each has not only its own approach to these issues, but also its own image analysis software, which provides many options for users to enhance the speed, quality and accuracy of their process through virtual microscopy. Virtual microscope systems are widely used and are trusted to provide high quality solutions for teleconsultation, education, quality control, archiving, veterinary medicine, research and other fields.

Entities:  

Keywords:  biological imaging; digital imaging; digital microscope; digital pathology; digital slide; image analysis; image resolution; microscope; pathology; virtual microscopy; virtual slide; whole slide imaging

Mesh:

Year:  2015        PMID: 25978139     DOI: 10.3109/10520295.2015.1044566

Source DB:  PubMed          Journal:  Biotech Histochem        ISSN: 1052-0295            Impact factor:   1.718


  17 in total

1.  Digital Microscopy, Image Analysis, and Virtual Slide Repository.

Authors:  Famke Aeffner; Hibret A Adissu; Michael C Boyle; Robert D Cardiff; Erik Hagendorn; Mark J Hoenerhoff; Robert Klopfleisch; Susan Newbigging; Dirk Schaudien; Oliver Turner; Kristin Wilson
Journal:  ILAR J       Date:  2018-12-01

2.  Enterprise Implementation of Digital Pathology: Feasibility, Challenges, and Opportunities.

Authors:  D J Hartman; L Pantanowitz; J S McHugh; A L Piccoli; M J OLeary; G R Lauro
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

3.  Comparison between digital and optical microscopy: Analysis in a mouse gut inflammation model.

Authors:  Airton Pereira E Silva; Sylvia Maria Nicolau Campos; Isabelle Mazza Guimarães; Gerlinde Agate Platais Brasil Teixeira
Journal:  Biomed Rep       Date:  2017-07-21

Review 4.  Label-free optical imaging technologies for rapid translation and use during intraoperative surgical and tumor margin assessment.

Authors:  Stephen A Boppart; J Quincy Brown; Camile S Farah; Esther Kho; Laura Marcu; Christobel M Saunders; Henricus J C M Sterenborg
Journal:  J Biomed Opt       Date:  2017-12       Impact factor: 3.170

Review 5.  Integrating digital pathology into clinical practice.

Authors:  Matthew G Hanna; Orly Ardon; Victor E Reuter; Sahussapont Joseph Sirintrapun; Christine England; David S Klimstra; Meera R Hameed
Journal:  Mod Pathol       Date:  2021-10-01       Impact factor: 7.842

Review 6.  The state of the art for artificial intelligence in lung digital pathology.

Authors:  Vidya Sankar Viswanathan; Paula Toro; Germán Corredor; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Pathol       Date:  2022-06-20       Impact factor: 9.883

Review 7.  Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.

Authors:  Kaustav Bera; Kurt A Schalper; David L Rimm; Vamsidhar Velcheti; Anant Madabhushi
Journal:  Nat Rev Clin Oncol       Date:  2019-08-09       Impact factor: 66.675

Review 8.  Transpathology: molecular imaging-based pathology.

Authors:  Mei Tian; Xuexin He; Chentao Jin; Xiao He; Shuang Wu; Rui Zhou; Xiaohui Zhang; Kai Zhang; Weizhong Gu; Jing Wang; Hong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-13       Impact factor: 9.236

9.  Extending Whole Slide Imaging: Color Darkfield Internal Reflection Illumination (DIRI) for Biological Applications.

Authors:  Yoshihiro Kawano; Kana Namiki; Atsushi Miyawaki; Takuji Ishikawa
Journal:  PLoS One       Date:  2017-01-13       Impact factor: 3.240

10.  Development of Whole Slide Imaging on Smartphones and Evaluation With ThinPrep Cytology Test Samples: Follow-Up Study.

Authors:  Yu-Ning Huang; Xing-Chun Peng; Shuoxin Ma; Hong Yu; Yu-Biao Jin; Jun Zheng; Guo-Hui Fu
Journal:  JMIR Mhealth Uhealth       Date:  2018-04-04       Impact factor: 4.773

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