Introduction to digital image analysis in whole-slide imaging: A white paper from the digital pathology association

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

doi:10.4103/jpi.jpi_82_18

Introduction to digital image analysis in whole-slide imaging: A white paper from the digital pathology association

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

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

Abstract

The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study reviews the fundamentals of tissue image analysis and aims to provide pathologists with basic information regarding the features, applications, and general workflow of these new tools. The review gives an overview of the basic categories of software solutions available, potential analysis strategies, technical considerations, and general algorithm readouts. Advantages and limitations of tissue image analysis are discussed, and emerging concepts, such as artificial intelligence and machine learning, are introduced. Finally, examples of how digital image analysis tools are currently being used in diagnostic laboratories, translational research, and drug development are discussed.

Original language	English (US)
Article number	9
Journal	Journal of Pathology Informatics
Volume	10
Issue number	1
DOIs	https://doi.org/10.4103/jpi.jpi_82_18
State	Published - Jan 1 2019
Externally published	Yes

Keywords

Artificial intelligence
computational pathology
digital pathology
image analysis
quantitative image analysis
whole-slide imaging

ASJC Scopus subject areas

Pathology and Forensic Medicine
Health Informatics
Computer Science Applications

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10.4103/jpi.jpi_82_18

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Aeffner, F., Zarella, M. D., Buchbinder, N., Bui, M. M., Goodman, M. R., Hartman, D. J., Lujan, G. M., Molani, M. A., Parwani, A. V., Lillard, K., Turner, O. C., Vemuri, V. N. P., Yuil-Valdes, A. G., & Bowman, D. (2019). Introduction to digital image analysis in whole-slide imaging: A white paper from the digital pathology association. Journal of Pathology Informatics, 10(1), Article 9. https://doi.org/10.4103/jpi.jpi_82_18

Aeffner, F, Zarella, MD, Buchbinder, N, Bui, MM, Goodman, MR, Hartman, DJ, Lujan, GM, Molani, MA, Parwani, AV, Lillard, K, Turner, OC, Vemuri, VNP, Yuil-Valdes, AG & Bowman, D 2019, 'Introduction to digital image analysis in whole-slide imaging: A white paper from the digital pathology association', Journal of Pathology Informatics, vol. 10, no. 1, 9. https://doi.org/10.4103/jpi.jpi_82_18

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abstract = "The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study reviews the fundamentals of tissue image analysis and aims to provide pathologists with basic information regarding the features, applications, and general workflow of these new tools. The review gives an overview of the basic categories of software solutions available, potential analysis strategies, technical considerations, and general algorithm readouts. Advantages and limitations of tissue image analysis are discussed, and emerging concepts, such as artificial intelligence and machine learning, are introduced. Finally, examples of how digital image analysis tools are currently being used in diagnostic laboratories, translational research, and drug development are discussed.",

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Introduction to digital image analysis in whole-slide imaging: A white paper from the digital pathology association

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