Optimizing experimental conditions of femtosecond laser-induced breakdown spectroscopy for differentiating melanoma from the normal dermis in Republic of Korea: an experimental study
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Background: Femtosecond laser-induced breakdown spectroscopy (fs-LIBS) is a powerful tool for biomedical diagnostics because it provides real-time, in situ elemental analysis with high spatial resolution. This study used fs-LIBS to distinguish melanoma from normal dermis tissue. Methods: A crater size of approximately 20 μm and an enhanced signal-to-background ratio of critical emission lines were achieved by optimizing the key experimental parameters, such as laser energy, gate delay, and spectral normalization. Results: Principal component analysis and support vector machine algorithms were applied to the normalized spectra, resulting in 96.4% classification accuracy. Conclusion: fs-LIBS, under the appropriate experimental conditions and data processing, provides precise tissue analysis and has significant potential for advancing bio-imaging and early cancer detection.
Abstract
Background: Femtosecond laser-induced breakdown spectroscopy (fs-LIBS) is a powerful tool for biomedical diagnostics because it provides real-time, in situ elemental analysis with high spatial resolution. This study used fs-LIBS to distinguish melanoma from normal dermis tissue. Methods: A crater size of approximately 20 μm and an enhanced signal-to-background ratio of critical emission lines were achieved by optimizing the key experimental parameters, such as laser energy, gate delay, and spectral normalization. Results: Principal component analysis and support vector machine algorithms were applied to the normalized spectra, resulting in 96.4% classification accuracy. Conclusion: fs-LIBS, under the appropriate experimental conditions and data processing, provides precise tissue analysis and has significant potential for advancing bio-imaging and early cancer detection.
참고문헌 (29)
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