| Literature DB >> 34750536 |
Rumana Rashid1,2,3, Yu-An Chen1, John Hoffer1, Jeremy L Muhlich1, Jia-Ren Lin1,2, Robert Krueger1,4, Hanspeter Pfister4, Richard Mitchell3, Sandro Santagata5,6,7, Peter K Sorger8,9,10.
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.Entities:
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Year: 2021 PMID： 34750536 PMCID： PMC9079188 DOI： 10.1038/s41551-021-00789-8
Source DB: PubMed Journal: Nat Biomed Eng ISSN： 2157-846X Impact factor: 29.234