Session Index

S6. Biophotonics and Biomedical Imaging

Poster Session I
Friday, Dec. 1, 2023  13:30-16:30
Room: Building of Electrical Engineering (電機系館) (B1)
Award Candidate (Paper Competition)
Manuscript ID.  0143
Paper No.  2023-FRI-P0601-P001
Wun-Yuan Hsieh Continuous Monitoring of Blood Glucose Variation Trend Using Non-Invasive Diffuse Reflectance Optical System
Wun-Yuan Hsieh, Tzu-Chia Liu, Ying-Yu Chen, Sheng-Hao Tseng, National Cheng Kung University (Taiwan)

Diabetes is a chronic metabolic disease that can lead to hypertension, cardiovascular
complications, strokes, and mortality if blood glucose remains uncontrolled. Monitoring blood
glucose trends enables physicians to tailor treatment strategies. However, current invasive
testing methods, such as blood tests are inconvenient, which hinders regular screening. To tackle
this issue, we developed a non-invasive diffuse reflectance optical system incorporating a
machine learning algorithm. This system computes skin tissue's optical properties and
establishes a correlation between glucose variations during the oral glucose tolerance test and
changes in scattering coefficients. This non-invasive approach aims to enhance awareness and
management of diabetes-related risks.

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Award Candidate (Paper Competition)
Manuscript ID.  0602
Paper No.  2023-FRI-P0601-P002
Meng-Shan Wu Development of a multifunctional catheter-based optical coherence tomography system for oral cavity and endocervical canal imaging
Meng-Shan Wu, Chuan-Bor Chueh, Tai-Ang Wang, Ting-Hao Chen, Xiang-Yu Chen, National Taiwan University (Taiwan); Brett E. Bouma, Wellman Center for Photomedicine (USA), Division of Health Sciences and Technology (USA); Martin Villiger, Wellman Center for Photomedicine (USA); Hsiang-Chieh Lee, National Taiwan University (Taiwan), Department of Electrical Engineering (Taiwan)

We have developed a multifunctional catheter-based OCT system, which provides architecture and birefringence information of biological tissue and allows volumetric imaging of the luminal part of the cervix. Preliminary imaging results of the in vivo human buccal mucosa and tongue were shown to validate the capabilities of volumetric imaging in the developed multifunctional OCT system, and further obtained the birefringence information by analyzing the polarization information of the OCT signal to implement the multifunctional OCT imaging.

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Award Candidate (Paper Competition)
Manuscript ID.  0400
Paper No.  2023-FRI-P0601-P003
Juan-Shao Chang Noninvasive Hemoglobin Measurement Device Based On Flexible Electronics
Juan-Shao Chang, Tzyy-Wei Fu, National Cheng-Kung University (Taiwan); Chih-Lung Lin, Jun-Yi Dai, Pang-Yuan Lee, Li-Shin Su, Ming-Ching Lin, Yu-Chih Lee, Kai-Lun Yu, ASE Technology Holding Co (Taiwan); Mu-Ju Hsieh, Sheng-Hao Tseng, National Cheng-Kung University (Taiwan)

This study aims to develop a non-invasive and handheld optical system for accurate measurement of hemoglobin concentration, with potential applications in diagnosing and monitoring various diseases, such as anemia. We utilized DRS for non-invasive hemoglobin measurement with an optical system featuring six LED wavelengths and photodetector (PD) modules, achieving precise hemoglobin monitoring. In 10 participants, our optical system data correlated strongly (r=0.85187) with data from invasive devices. Our system shows promise for clinical diagnosis and health monitoring, with potential for measuring other physiological parameters in the future.

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Award Candidate (Paper Competition)
Manuscript ID.  0318
Paper No.  2023-FRI-P0601-P004
Sheng-Yun Cho Compact and Low-Cost Mid-IR Spectrometer for Carbon Dioxide Detection
Sheng-Yun Cho, Cong-Xin Sun, Cheng Han, National Yang Ming Chiao Tung University (Taiwan); Yaun-Yao Lin, National Sun Yat-sen University (Taiwan); Wen-Hao Chang, Ming-Che Chan, National Yang Ming Chiao Tung University (Taiwan)

Mid-infrared (MIR) spectrometer is an extremely and fundamentally important scientific instrument that can provide critical information on material composition and properties by analyzing the energy absorption properties of molecules at specific wavelengths and has been widely used in many applications. In this study, we demonstrate a miniaturized, low-cost, and portable mid-infrared optical spectrometer for different carbon dioxide gases detection. Based on the results, this spectrometer will have many applications in the future.

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Award Candidate (Paper Competition)
Manuscript ID.  0711
Paper No.  2023-FRI-P0601-P005
Ming-Chi Chen A combined study of nonlinear optical microscopy and machine learning
Ming-Chi Chen, Ming-Xin Lee, China Medical University (Taiwan); Nirmal Mazumder, Manipal School of Life Sciences, Manipal Academy of Higher Education (India); Guan-Yu Zhuo, China Medical University (Taiwan)

By capitalizing on label-free imaging, high-resolution capabilities, and the simultaneous visualization of tissue structures and chemical properties offered by nonlinear optical (NLO) microscopy, we can potentially attain accuracy levels akin to those of traditional histopathology in the study of human esophageal cancer specimens. Moreover, the outcomes derived from this approach serve as invaluable training data for the machine learning (ML) algorithm. This combined study empowers us to achieve rapid and accurate cancer detection, which facilitates the translation of NLO microscopy into clinical contexts, thus broadening its utility spectrum from fundamental biomedical research to AI-assisted pathology.

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Award Candidate (Paper Competition)
Manuscript ID.  0982
Paper No.  2023-FRI-P0601-P006
Cheng-An Huang Enhancing Automated Skin Layer Segmentation in Optical Coherence Tomography Images Using U-Net
Cheng-An Huang, Ting-Hao Chen, Chau-Hsiang Cheng, National Taiwan University (Taiwan); Chau Yee Ng, Meng-Tsan Tsai, Chang Gung Memorial Hospital (Taiwan), Chang Gung University (Taiwan); Cheng-Kuang Lee, NVIDIA (Taiwan); Hsiang-Chieh Lee, National Taiwan University (Taiwan)

In the current assessment of skin disorders, optical coherence tomography (OCT) is commonly employed as a frontline diagnostic tool. This study focuses on the analysis of skin images obtained from a lightweight handheld OCT device, aiming for automated analysis. Segmentation algorithms are applied to enhance accuracy and processing speed. Additionally, data augmentation and increased dataset size are explored to improve model training accuracy.

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Award Candidate (Paper Competition)
Manuscript ID.  0829
Paper No.  2023-FRI-P0601-P007
Huai-En Hsu Blocking effect of Anticn K on the interaction between ACE2 Protein and SARS-CoV-2 Spike Protein discovered using SPR technology
Huai-En Hsu, Ming-Jung Tai, Nan-Fu Chiu, National Taiwan Normal University (Taiwan)

The COVD-19 epidemic has brought huge disasters to the world since 2020 including millions of deaths, and the economies of many countries have also been severely hit. Therefore, the development of drugs that can inhibit COVD-19 has become a topic of worldwide concern. In this experiment, we used the principle of SPR to determine the inhibitory effect of different potential drugs on the binding of SARS-Cov-19 omicron Spike S1 protein and human ACE2 receptors. This time we chose Antcin K. To observe whether it can inhibit the combination between the S-1 protein and ACE2 protein.

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Award Candidate (Paper Competition)
Manuscript ID.  0258
Paper No.  2023-FRI-P0601-P008
Jia-Cheng Li Diffuse Reflectance Spectroscopy Based Wearable Device for Monitoring Arterial Oxygen Saturation and Hemoglobin Concentration
Jia-Cheng Li, Ming-Lin Yang, Cheng-Yan Yang, Sheng-Hao Tseng, National Cheng-Kung University (Taiwan)

The study aims to create an optical reflective device to simultaneously measure arterial oxygen saturation and hemoglobin concentration. We validated its capability to detect real-time blood oxygen changes during breath-holding experiments. Using finger prick tests as a reference, we achieved correlation coefficients of 0.923 and 0.961 for hemoglobin concentration measured on the forehead and wrist, respectively. Our findings confirm the system's accurate in-vivo hemoglobin concentration calculation.

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