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Automated multimodal spectral histopathology for quantitative diagnosis of residual tumour during basal cell carcinoma surgery

Boitor, Radu; Kong, Kenny; Shipp, Dustin; Varma, Sandeep; Koloydenko, Alexey; Kusum, Kulkarni; Elsheikh, Somaia; Bakker Schut, Tom; Caspers, Peter; Puppels, Gerwin; Wolf, Martin van der; Sokolova, Elena; Nijsten, T.E.C.; Salence, Brogan; Williams, Hywel C.; Ioan, Notingher


Radu Boitor

Kenny Kong

Dustin Shipp

Sandeep Varma

Alexey Koloydenko

Kulkarni Kusum

Somaia Elsheikh

Tom Bakker Schut

Peter Caspers

Gerwin Puppels

Martin van der Wolf

Elena Sokolova

T.E.C. Nijsten

Brogan Salence

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Professor of Dermato-Epidemiology


Multimodal spectral histopathology (MSH), an optical technique combining tissue auto-fluorescence (AF) imaging and Raman micro-spectroscopy (RMS), was previously proposed for detection of residual basal cell carcinoma (BCC) at the surface of surgically-resected skin tissue. Here we report the development of a fully-automated prototype instrument based on MSH designed to be used in the clinic and operated by a non-specialist spectroscopy user. The algorithms for the AF image processing and Raman spectroscopy classification had been first optimised on a manually-operated laboratory instrument and then validated on the automated prototype using skin samples from independent patients. We present results on a range of skin samples excised during Mohs micrographic surgery, and demonstrate consistent diagnosis obtained in repeat test measurement, in agreement with the reference histopathology diagnosis. We also show that the prototype instrument can be operated by clinical users (a skin surgeon and a core medical trainee, after only 1-8 hours of training) to obtain consistent results in agreement with histopathology. The development of the new automated prototype and demonstration of inter-instrument transferability of the diagnosis models are important steps on the clinical translation path: it allows the testing of the MSH technology in a relevant clinical environment in order to evaluate its performance on a sufficiently large number of patients.


Boitor, R., Kong, K., Shipp, D., Varma, S., Koloydenko, A., Kusum, K., …Ioan, N. (in press). Automated multimodal spectral histopathology for quantitative diagnosis of residual tumour during basal cell carcinoma surgery. Biomedical Optics Express, 8(12),

Journal Article Type Article
Acceptance Date Nov 13, 2017
Online Publication Date Nov 22, 2017
Deposit Date Nov 16, 2017
Publicly Available Date Nov 22, 2017
Journal Biomedical Optics Express
Electronic ISSN 2156-7085
Publisher Optical Society of America
Peer Reviewed Peer Reviewed
Volume 8
Issue 12
Public URL
Publisher URL


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