Differentiation of basal cell carcinoma and healthy skin using multispectral modulation autofluorescence imaging: A pilot study

Nikita V. Chernomyrdin (Login required)
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
Bauman Moscow State Technical University, Moscow, Russia

Anastasiya D. Lesnichaya
Bauman Moscow State Technical University, Moscow, Russia

Egor V. Yakovlev
Bauman Moscow State Technical University, Moscow, Russia

Konstantin G. Kudrin
Sechenov University, Moscow, Russia

Olga P. Cherkasova
Institute of Laser Physics of Siberian Branch of RAS, Novosibirsk, Russia

Elena N. Rimskaya
Bauman Moscow State Technical University, Moscow, Russia
Sechenov University, Moscow, Russia

Vladimir N. Kurlov
Institute of Solid State Physics of RAS, Chernogolovka, Moscow Obl., Russia

Valeriy E. Karasik
Bauman Moscow State Technical University, Moscow, Russia

Igor V. Reshetov
Sechenov University, Moscow, Russia

Valery V. Tuchin
Saratov State University, Saratov, Russia
Tomsk State University, Tomsk, Russia
Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russia

Kirill I. Zaytsev
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
Bauman Moscow State Technical University, Moscow, Russia

Paper #3309 received 17 Dec 2018; accepted for publication 20 Mar 2019; published online 27 Mar 2019.

DOI: 10.18287/JBPE19.05.010302


An approach for differentiating basal cell carcinoma (BCC) and healthy skin by combining a multispectral modulation autofluorescence imaging with the linear discriminant analysis has been proposed. The experimental setup, which employs a 365-nm narrowband excitation, 4 replaceable bandpass filters and a digital camera, has been assembled and applied to study freshly excised samples of BCC. In the experimental setup, modulation of the UV-excitation and demodulation of the visible light images allow for both increasing a signal-to-noise ratio and suppressing a non-fluorescence background in the autofluorescence images of tissues. The observed results demonstrate an ability for distinguishing both ordinary and keratinized BCC from healthy skin justifying the perspectives of the multispectral modulation autofluorescence imaging use for non-invasive and intraoperative diagnosis of BCC and other low-pigmented malignancies of the skin.


multispectral fluorescence imaging; autofluorescence phenomenon; medical diagnosis; basal cell carcinoma; linear discriminant analysis

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