High spatial resolution imaging of melanoma tissue by femtosecond laser-induced breakdown spectroscopy

被引:20
|
作者
Choi, Jang-Hee [1 ]
Shin, Sungho [2 ]
Moon, Youngmin [3 ]
Han, Jung Hyun [4 ,5 ]
Hwang, Euiseok [6 ]
Jeong, Sungho [2 ]
机构
[1] Korea Inst Ind Technol, Innovat Smart Mfg R&D Dept, 89 Yangdaegiro Gil, Cheonan Si 31056, Chungcheongnam, South Korea
[2] Gwangju Inst Sci & Technol, Sch Mech Engn, 123 Cheomdangwagi Ro, Gwangju 61005, South Korea
[3] Res Inst Ind Sci & Technol, Smart Solut Res Ctr, 67 Cheongam Ro, Pohang Si, Gyeongsangbuk D, South Korea
[4] Gwangju Inst Sci & Technol, Sch Life Sci, 123 Cheomdangwagi Ro, Gwangju 61005, South Korea
[5] St John God Hosp, Dept Dermatol, Gwangju, South Korea
[6] Gwangju Inst Sci & Technol, Sch Elect Engn & Comp Sci, 123 Cheomdangwagi Ro, Gwangju 61005, South Korea
基金
新加坡国家研究基金会;
关键词
Laser-induced breakdown spectroscopy; Femtosecond; Melanoma; Mapping;
D O I
10.1016/j.sab.2021.106090
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The classification and imaging of melanoma embedded in murine skin tissue by femtosecond laser-induced breakdown spectroscopy (fs-LIBS) is reported. The tissue samples were collected from hairless mice with induced melanoma, cryosectioned to 50 mu m thickness, and analyzed with no other sample treatment. LIBS measurement was carried out using an ultraviolet (UV) fs-laser (lambda = 343 nm, tau = 550 fs) and intensified charge coupled device detector. The support vector machine (SVM) classifier is customized to distinguish melanoma and dermis with dominant peaks and their intensity ratios, of which normal distribution are obtained by maximum likelihood estimation. Based on the classifiers, a classification accuracy of about 97.9% was achieved by using the SVM algorithm adopting 3rd order polynomial kernel. LIBS mapping was carried out at the spatial resolution of about 15 mu m. The LIBS mapping image to which a posterior probabilistic interpretation of the SVM results was applied agreed closely to the hematoxylin and eosin (H&E) staining image. It was shown that LIBS imaging can identify the tissue area of cancer and also inflammatory cells. The results showed that UV-fs-LIBS could be a useful alternative or supporting tool for melanoma screening.
引用
收藏
页数:8
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