Literature DB >> 30535284

Digital Microscopy, Image Analysis, and Virtual Slide Repository.

Famke Aeffner1, Hibret A Adissu1, Michael C Boyle1, Robert D Cardiff1, Erik Hagendorn1, Mark J Hoenerhoff1, Robert Klopfleisch1, Susan Newbigging1, Dirk Schaudien1, Oliver Turner1, Kristin Wilson1.   

Abstract

Advancements in technology and digitization have ushered in novel ways of enhancing tissue-based research via digital microscopy and image analysis. Whole slide imaging scanners enable digitization of histology slides to be stored in virtual slide repositories and to be viewed via computers instead of microscopes. Easier and faster sharing of histologic images for teaching and consultation, improved storage and preservation of quality of stained slides, and annotation of features of interest in the digital slides are just a few of the advantages of this technology. Combined with the development of software for digital image analysis, digital slides further pave the way for the development of tools that extract quantitative data from tissue-based studies. This review introduces digital microscopy and pathology, and addresses technical and scientific considerations in slide scanning, quantitative image analysis, and slide repositories. It also highlights the current state of the technology and factors that need to be taken into account to insure optimal utility, including preanalytical considerations and the importance of involving a pathologist in all major steps along the digital microscopy and pathology workflow.
© The Author(s) 2018. Published by Oxford University Press on behalf of the National Academy of Sciences. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  deep learning; image analysis; slide repository; slide scanner; stereology; virtual microscopy; whole-slide imaging; whole-slide scanning

Mesh:

Year:  2018        PMID: 30535284      PMCID: PMC6927898          DOI: 10.1093/ilar/ily007

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  110 in total

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Journal:  J Microsc       Date:  1990-09       Impact factor: 1.758

2.  Virtual reality Powerwall versus conventional microscope for viewing pathology slides: an experimental comparison.

Authors:  Darren Treanor; Naomi Jordan-Owers; John Hodrien; Jason Wood; Phil Quirke; Roy A Ruddle
Journal:  Histopathology       Date:  2009-09       Impact factor: 5.087

3.  Any way you cut it: a new journal policy for the use of unbiased counting methods.

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Review 4.  Image Analysis of the Tumor Microenvironment.

Authors:  Mark C Lloyd; Joseph O Johnson; Agnieszka Kasprzak; Marilyn M Bui
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

Review 5.  Methodological problems in placental morphometry: apologia for the use of stereology based on sound sampling practice.

Authors:  T M Mayhew; G J Burton
Journal:  Placenta       Date:  1988 Nov-Dec       Impact factor: 3.481

6.  The unbiased estimation of number and sizes of arbitrary particles using the disector.

Authors:  D C Sterio
Journal:  J Microsc       Date:  1984-05       Impact factor: 1.758

7.  Quantitation of fixative-induced morphologic and antigenic variation in mouse and human breast cancers.

Authors:  Robert D Cardiff; Neil E Hubbard; Jesse A Engelberg; Robert J Munn; Claramae H Miller; Judith E Walls; Jane Q Chen; Héctor A Velásquez-García; Jose J Galvez; Katie J Bell; Laurel A Beckett; Yue-Ju Li; Alexander D Borowsky
Journal:  Lab Invest       Date:  2013-02-11       Impact factor: 5.662

Review 8.  Principles for valid histopathologic scoring in research.

Authors:  K N Gibson-Corley; A K Olivier; D K Meyerholz
Journal:  Vet Pathol       Date:  2013-04-04       Impact factor: 2.221

9.  Heterogeneity mapping of protein expression in tumors using quantitative immunofluorescence.

Authors:  Dana Faratian; Jason Christiansen; Mark Gustavson; Christine Jones; Christopher Scott; InHwa Um; David J Harrison
Journal:  J Vis Exp       Date:  2011-10-25       Impact factor: 1.355

10.  Combined fluorescent in situ hybridization for detection of microRNAs and immunofluorescent labeling for cell-type markers.

Authors:  Amrita D Chaudhuri; Sowmya V Yelamanchili; Howard S Fox
Journal:  Front Cell Neurosci       Date:  2013-09-23       Impact factor: 5.505

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  14 in total

1.  A low-cost pathological image digitalization method based on 5 times magnification scanning.

Authors:  Kai Sun; Yanhua Gao; Ting Xie; Xun Wang; Qingqing Yang; Le Chen; Kuansong Wang; Gang Yu
Journal:  Quant Imaging Med Surg       Date:  2022-05

2.  Artificial Intelligence-Assisted Image Analysis of Acetaminophen-Induced Acute Hepatic Injury in Sprague-Dawley Rats.

Authors:  Eun Bok Baek; Ji-Hee Hwang; Heejin Park; Byoung-Seok Lee; Hwa-Young Son; Yong-Bum Kim; Sang-Yeop Jun; Jun Her; Jaeku Lee; Jae-Woo Cho
Journal:  Diagnostics (Basel)       Date:  2022-06-16

3.  Digital workflows for pathological assessment of rat estrous cycle stage using images of uterine horn and vaginal tissue.

Authors:  Shinichi Onishi; Riku Egami; Yuya Nakamura; Yoshinobu Nagashima; Kaori Nishihara; Saori Matsuo; Atsuko Murai; Shuji Hayashi; Yoshifumi Uesumi; Atsuhiko Kato; Hiroyuki Tsunoda; Masaki Yamazaki; Hideaki Mizuno
Journal:  J Pathol Inform       Date:  2022-06-29

Review 4.  PD-L1 as a biomarker of response to immune-checkpoint inhibitors.

Authors:  Deborah Blythe Doroshow; Sheena Bhalla; Mary Beth Beasley; Lynette M Sholl; Keith M Kerr; Sacha Gnjatic; Ignacio I Wistuba; David L Rimm; Ming Sound Tsao; Fred R Hirsch
Journal:  Nat Rev Clin Oncol       Date:  2021-02-12       Impact factor: 66.675

Review 5.  Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association.

Authors:  Famke Aeffner; Mark D Zarella; Nathan Buchbinder; Marilyn M Bui; Matthew R Goodman; Douglas J Hartman; Giovanni M Lujan; Mariam A Molani; Anil V Parwani; Kate Lillard; Oliver C Turner; Venkata N P Vemuri; Ana G Yuil-Valdes; Douglas Bowman
Journal:  J Pathol Inform       Date:  2019-03-08

6.  Histopathological Classification of Canine Cutaneous Round Cell Tumors Using Deep Learning: A Multi-Center Study.

Authors:  Massimo Salvi; Filippo Molinari; Selina Iussich; Luisa Vera Muscatello; Luca Pazzini; Silvia Benali; Barbara Banco; Francesca Abramo; Raffaella De Maria; Luca Aresu
Journal:  Front Vet Sci       Date:  2021-03-26

Review 7.  Contemporary Whole Slide Imaging Devices and Their Applications within the Modern Pathology Department: A Selected Hardware Review.

Authors:  Ankush Patel; Ulysses G J Balis; Jerome Cheng; Zaibo Li; Giovanni Lujan; David S McClintock; Liron Pantanowitz; Anil Parwani
Journal:  J Pathol Inform       Date:  2021-12-09

8.  Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.

Authors:  Giovanni Lujan; Jennifer C Quigley; Douglas Hartman; Anil Parwani; Brian Roehmholdt; Bryan Van Meter; Orly Ardon; Matthew G Hanna; Dan Kelly; Chelsea Sowards; Michael Montalto; Marilyn Bui; Mark D Zarella; Victoria LaRosa; Gerard Slootweg; Juan Antonio Retamero; Mark C Lloyd; James Madory; Doug Bowman
Journal:  J Pathol Inform       Date:  2021-04-07

Review 9.  Histopathologic Evaluation and Scoring of Viral Lung Infection.

Authors:  David K Meyerholz; Amanda P Beck
Journal:  Methods Mol Biol       Date:  2020

Review 10.  PD-1/PD-L1 in Cancer: Pathophysiological, Diagnostic and Therapeutic Aspects.

Authors:  Enrico Munari; Francesca R Mariotti; Linda Quatrini; Pietro Bertoglio; Nicola Tumino; Paola Vacca; Albino Eccher; Francesco Ciompi; Matteo Brunelli; Guido Martignoni; Giuseppe Bogina; Lorenzo Moretta
Journal:  Int J Mol Sci       Date:  2021-05-12       Impact factor: 5.923

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