Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data

Rumana Rashid; Yu An Chen; John Hoffer; Jeremy L. Muhlich; Jia Ren Lin; Robert Krueger; Hanspeter Pfister; Richard Mitchell; Sandro Santagata; Peter K. Sorger

doi:10.1038/s41551-021-00789-8

Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data

Rumana Rashid, Yu An Chen, John Hoffer, Jeremy L. Muhlich, Jia Ren Lin, Robert Krueger, Hanspeter Pfister, Richard Mitchell, Sandro Santagata, Peter K. Sorger

Research output: Contribution to journal › Review article › peer-review

Abstract

Multiplexed tissue imaging facilitates the diagnosis and understanding of complex disease traits. However, the analysis of such digital images heavily relies on the experience of anatomical pathologists for the review, annotation and description of tissue features. In addition, the wider use of data from tissue atlases in basic and translational research and in classrooms would benefit from software that facilitates the easy visualization and sharing of the images and the results of their analyses. In this Perspective, we describe the ecosystem of software available for the analysis of tissue images and discuss the need for interactive online guides that help histopathologists make complex images comprehensible to non-specialists. We illustrate this idea via a software interface (Minerva), accessible via web browsers, that integrates multi-omic and tissue-atlas features. We argue that such interactive narrative guides can effectively disseminate digital histology data and aid their interpretation.

Original language	English (US)
Pages (from-to)	515-526
Number of pages	12
Journal	Nature Biomedical Engineering
Volume	6
Issue number	5
DOIs	https://doi.org/10.1038/s41551-021-00789-8
State	Published - May 2022

ASJC Scopus subject areas

Biotechnology
Bioengineering
Medicine (miscellaneous)
Biomedical Engineering
Computer Science Applications

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10.1038/s41551-021-00789-8

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title = "Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data",

abstract = "Multiplexed tissue imaging facilitates the diagnosis and understanding of complex disease traits. However, the analysis of such digital images heavily relies on the experience of anatomical pathologists for the review, annotation and description of tissue features. In addition, the wider use of data from tissue atlases in basic and translational research and in classrooms would benefit from software that facilitates the easy visualization and sharing of the images and the results of their analyses. In this Perspective, we describe the ecosystem of software available for the analysis of tissue images and discuss the need for interactive online guides that help histopathologists make complex images comprehensible to non-specialists. We illustrate this idea via a software interface (Minerva), accessible via web browsers, that integrates multi-omic and tissue-atlas features. We argue that such interactive narrative guides can effectively disseminate digital histology data and aid their interpretation.",

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AU - Rashid, Rumana

AU - Chen, Yu An

AU - Hoffer, John

AU - Muhlich, Jeremy L.

AU - Lin, Jia Ren

AU - Krueger, Robert

AU - Pfister, Hanspeter

AU - Mitchell, Richard

AU - Santagata, Sandro

AU - Sorger, Peter K.

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N2 - Multiplexed tissue imaging facilitates the diagnosis and understanding of complex disease traits. However, the analysis of such digital images heavily relies on the experience of anatomical pathologists for the review, annotation and description of tissue features. In addition, the wider use of data from tissue atlases in basic and translational research and in classrooms would benefit from software that facilitates the easy visualization and sharing of the images and the results of their analyses. In this Perspective, we describe the ecosystem of software available for the analysis of tissue images and discuss the need for interactive online guides that help histopathologists make complex images comprehensible to non-specialists. We illustrate this idea via a software interface (Minerva), accessible via web browsers, that integrates multi-omic and tissue-atlas features. We argue that such interactive narrative guides can effectively disseminate digital histology data and aid their interpretation.

AB - Multiplexed tissue imaging facilitates the diagnosis and understanding of complex disease traits. However, the analysis of such digital images heavily relies on the experience of anatomical pathologists for the review, annotation and description of tissue features. In addition, the wider use of data from tissue atlases in basic and translational research and in classrooms would benefit from software that facilitates the easy visualization and sharing of the images and the results of their analyses. In this Perspective, we describe the ecosystem of software available for the analysis of tissue images and discuss the need for interactive online guides that help histopathologists make complex images comprehensible to non-specialists. We illustrate this idea via a software interface (Minerva), accessible via web browsers, that integrates multi-omic and tissue-atlas features. We argue that such interactive narrative guides can effectively disseminate digital histology data and aid their interpretation.

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Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data

Abstract

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