Dexter, A; Tsikritsis, D; Belsey, N A; Thomas, S A; Venton, J; Bunch, J; Romanchikova, M (2022) Next generation digital pathology: emerging trends and measurement challenges for molecular pathology. Journal of Molecular Pathology, 3 (3). pp. 168-181.

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Abstract

Digital pathology is revolutionising the analysis of histological features and is becoming more and more widespread in both the clinic and research. Molecular pathology extends the current wealth of information provided by digital pathology by providing spatially resolved molecular information to complement the structural information provided by histopathology. One of the key challenges in the use of molecular pathology is selection of the best imaging method to use for a given diagnosis. By providing a comprehensive comparison of different methods, this review aims to guide practitioners as to what methods are most suited to a given challenge. Since each pixel of an image will contain a wealth of molecular information, data processing in molecular pathology is more complex. The key steps and variables, and their effect on the data will also be discussed.

Item Type:	Article
Keywords:	: digital pathology; molecular imaging; mass spectrometry imaging; Raman microscopy; spatial transcriptomics; spatial metabolomics
Subjects:	Nanoscience > Surface and Nanoanalysis
Divisions:	Chemical & Biological Sciences
Identification number/DOI:	10.3390/jmp3030014
Last Modified:	19 Oct 2022 14:12
URI:	https://eprintspublications.npl.co.uk/id/eprint/9527