Literature DB >> 27101397

Current Status of Whole-Slide Imaging in Education.

Adela Saco, Jose Antoni Bombi, Adriana Garcia, Jose Ramírez, Jaume Ordi.   

Abstract

Conventional light microscopy (CLM) has classically been the basic tool to teach histology and pathology. In recent years, whole-slide imaging (WSI), which consists of generating a high-magnification digital image of an entire histological glass slide, has emerged as a useful alternative to CLM offering a myriad of opportunities for education. Navigation through the digitized slides closely simulates viewing glass slides with a microscope and is also referred to as virtual microscopy. WSI has many advantages for education. Students feel more comfortable with its use, and it can be used in any classroom as it only requires a computer with Internet access and it allows remote access from anywhere and from any device. WSI can be used simultaneously by a large number of people, stimulating cooperation between students and improving the interaction with the teachers. It allows making marks and annotations on specific fields, which enable specific directed questions to the teacher. Finally, WSI supports are cost-effective compared with CLM. Consequently, WSI has begun to replace CLM in many institutions. WSI has shown to be an extremely useful tool for undergraduate education (medical, dental and veterinary schools), for the training of residents of pathology, tele-education and in tumor boards.
© 2016 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2016        PMID: 27101397     DOI: 10.1159/000442391

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  18 in total

1.  Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers.

Authors:  Ezgi Mercan; Linda G Shapiro; Tad T Brunyé; Donald L Weaver; Joann G Elmore
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

2.  Overcoming Barriers in a Traditional Medical Education System by the Stepwise, Evidence-Based Introduction of a Modern Learning Technology.

Authors:  Doris George Yohannan; Aswathy Maria Oommen; Kannanvilakom Govindapillai Umesan; Vandana Latha Raveendran; Latha Sreedhar Lakshmi Sreedhar; Thekkumkara Surendran Nair Anish; Michael Hortsch; Renuka Krishnapillai
Journal:  Med Sci Educ       Date:  2019-07-01

3.  An analysis of pathologists' viewing processes as they diagnose whole slide digital images.

Authors:  Fatemeh Ghezloo; Pin-Chieh Wang; Kathleen F Kerr; Tad T Brunyé; Trafton Drew; Oliver H Chang; Lisa M Reisch; Linda G Shapiro; Joann G Elmore
Journal:  J Pathol Inform       Date:  2022-05-21

4.  Experience Reviewing Digital Pap Tests using a Gallery of Images.

Authors:  Liron Pantanowitz; Sarah Harrington
Journal:  J Pathol Inform       Date:  2021-02-23

5.  Pushed Across the Digital Divide: COVID-19 Accelerated Pathology Training onto a New Digital Learning Curve.

Authors:  Lewis A Hassell; JoElle Peterson; Liron Pantanowitz
Journal:  Acad Pathol       Date:  2021-02-24

6.  E-learning for medical imaging specialists: introducing blended learning in a nuclear medicine specialist course.

Authors:  Torjan Haslerud; Andreas Julius Tulipan; Robert M Gray; Martin Biermann
Journal:  Acta Radiol Open       Date:  2017-07-25

7.  Simple Shading Correction Method for Brightfield Whole Slide Imaging.

Authors:  Yoon-Oh Tak; Anjin Park; Janghoon Choi; Jonghyun Eom; Hyuk-Sang Kwon; Joo Beom Eom
Journal:  Sensors (Basel)       Date:  2020-05-29       Impact factor: 3.576

8.  RecutClub.com: An Open Source, Whole Slide Image-based Pathology Education System.

Authors:  Paul A Christensen; Nathan E Lee; Michael J Thrall; Suzanne Z Powell; Patricia Chevez-Barrios; S Wesley Long
Journal:  J Pathol Inform       Date:  2017-03-10

9.  Turning Microscopy in the Medical Curriculum Digital: Experiences from The Faculty of Health and Medical Sciences at University of Copenhagen.

Authors:  Ben Vainer; Niels Werner Mortensen; Steen Seier Poulsen; Allan Have Sørensen; Jørgen Olsen; Hans Henrik Saxild; Flemming Fryd Johansen
Journal:  J Pathol Inform       Date:  2017-03-10

Review 10.  Digital pathology and computational image analysis in nephropathology.

Authors:  Laura Barisoni; Kyle J Lafata; Stephen M Hewitt; Anant Madabhushi; Ulysses G J Balis
Journal:  Nat Rev Nephrol       Date:  2020-08-26       Impact factor: 28.314

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