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2018 | OriginalPaper | Buchkapitel

Using Optical Coherence Tomography to Identify of Oral Mucosae with 3D-Printing Probe

verfasst von : Ying-Dan Chen, Cheng-Yu Lee, Trung Nguyen Hoang, Yen-Li Wang, Ya-Ju Lee, Meng-Tsan Tsai

Erschienen in: Advances in Intelligent Information Hiding and Multimedia Signal Processing

Verlag: Springer International Publishing

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Abstract

Biomedical materials have different optical properties (e.g. absorption) for different wavelengths. Therefore, probing biomedical materials with multiple wavelengths not only can get in-depth understanding of the detected biomedical materials but also can differentiate the detected biomedical materials. To achieve this purpose, in this conference paper, we present our initial results of building up a portable multiple-wavelength biomedical sensing system. At this initial phase, we assembled this kind of system with multiple wavelengths of light sources and photodetectors and preliminarily tested the absorbance of the glucose solutions with different concentrations. The result shows good linearity of the absorbance of the glucose solution with concentration. In addition, we also measured the absorbance of the glucose solutions using a broadband white light source and a spectrometer. This result also exhibits linearity but different slop of absorbance with glucose concentration, which confirms the linearity result obtained from the built sensing system. The difference of slop maybe relates to the difference of optical design between these two systems.

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Metadaten
Titel
Using Optical Coherence Tomography to Identify of Oral Mucosae with 3D-Printing Probe
verfasst von
Ying-Dan Chen
Cheng-Yu Lee
Trung Nguyen Hoang
Yen-Li Wang
Ya-Ju Lee
Meng-Tsan Tsai
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-63856-0_20