Session Index

S6. Biophotonics and Biomedical Imaging

Poster Session II
Saturday, Dec. 2, 2023  13:30-16:30
Room: Building of Electrical Engineering (電機系館) (B1)

Manuscript ID.  1038
Paper No.  2023-SAT-P0602-P001
Peng-Li Wang, National Taiwan University (Taiwan); Tzung-Dau Wang, National Taiwan University Hospital (Taiwan); Chi-Kuang Sun, National Taiwan University (Taiwan)

Glycated hemoglobin (HbA1c) is a pivotal metric for diabetes diagnosis. Conventional measurements tend to be invasive and time-consuming. Here, we report a method utilizing ultraviolet-visible spectrum measurement to determine HbA1c levels. Comprehensive spectral feature analyses, wavelength selection, validations based on idealized samples, and tests employing real blood samples were conducted. We also incorporated a novel correction technique, substantially bolstering the predictive accuracy of our real blood model, with the R-squared value rising from 0.55 to 0.86. This study enriches the theoretical exploration of optical detection for HbA1c, presenting a more exhaustive argument and promising extensive applications.

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Manuscript ID.  0534
Paper No.  2023-SAT-P0602-P002
Chuan-Bor Chueh Synthetic high-resolution, volumetric and wide field-of-view optical coherence tomography images with generative adversarial networks
Chuan-Bor Chueh, Ting-Hao Chen, Yu-Yu Li, Graduate Institute of Photonics and Optoelectronics (Taiwan); Ming-Che Tu, Shih-Jung Cheng, Graduate Institute of Clinical Dentistry (Taiwan), Division of Oral and Maxillofacial Surgery, Department of Dentistry (Taiwan); Cheng-Kuang Lee, Simon See, AI Technology Center (Taiwan); Hsiang-Chieh Lee, Graduate Institute of Photonics and Optoelectronics (Taiwan), Department of Electrical Engineering (Taiwan)

Optical coherence tomography (OCT) has been widely used in many clinical apartments. The trade-off between field-of-view (FOV) and transverse resolution has always become critical. High-resolution (HR) image reconstruction of OCT can increase the resolution without reducing the FOV. But, it is hard to find one-to-one paired HR for reference. The HR methods are used to improve the cross-sectional OCT image only. Therefore, we build a wide FOV, multi-scale OCT that can produce excellent high- and low-resolution one-to-one mapping volumetric data set. With the HR methods, we can reduce the acquisition of synthetic high-resolution volumetric images by up to four times.

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Manuscript ID.  0961
Paper No.  2023-SAT-P0602-P003
Wen-Kuei Tsai Signal Enhancements of Laser Scanning Nonlinear Microscopes through Time Stretching Induced Energy Re-allocations
Wen-Kuei Tsai, Yen-Sheng Liu, National Yang Ming Chiao Tung University (Taiwan); Guan-Yu Zhuo, China Medical University (Taiwan); Hung-Wen Chen, National Tsing Hua University (Taiwan); Zu-Po Yang, Ming-Che Chan, National Yang Ming Chiao Tung University (Taiwan)

Utilizing time-stretching of carrier pulses in nonlinear light microscopy, we've developed a new method to boost signal strength without degrading image quality and signal to noise ratio. In the reports, 80% signal enhancement in second-harmonic generation collagen fiber imaging was achieved with an improved signal to noise ratio. This also increased the image depth from 200 to 220 microns. Offering reduced photo-damage risk and faster imaging, our method is compatible with other enhancement approaches, making it promising for both research and industrial applications with nonlinear laser scanning microscopes.

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Manuscript ID.  0190
Paper No.  2023-SAT-P0602-P004
Yu-Ting Su Application of Multi-class Detection and Hyperspectral Image Recognition for Early Esophageal Cancer Detection
Yu-Ting Su, National Chung Cheng University (Taiwan); Chu-Kuang Chou, Ditmanson Medical Foundation Chia-Yi Christian Hospital (Taiwan); Hong-Thai Nguyen, National Chung Cheng University (Taiwan); Yao-Kuang Wang, Kaohsiung Medical University Hospital (Taiwan), Kaohsiung Medical University (Taiwan); I-Chen Wu, Kaohsiung Medical University (Taiwan); Chien-Wei Huang, Kaohsiung Armed Forces General Hospital (Taiwan), Tajen University (Taiwan); Hsiang-Chen Wang, National Chung Cheng University (Taiwan)

Esophageal cancer is a leading cause of death, especially in East Asia. Taiwan's 2022 mortality statistics revealed it accounted for 25% of all deaths. This study collaborated with Chung-Ho Memorial Hospital, using 2067 early-stage esophageal cancer images. Hyperspectral technology and YOLOv8 models were employed, achieving improved detection. The RGB-WLI model scored 0.85 mAP, 0.86 Sensitivity, 0.88 F1-score, and 0.85 Overall Accuracy. The HSI-NBI model scored 0.87 mAP, 0.88 Sensitivity, 0.89 F1-score, and 0.88 Overall Accuracy. Hyperspectral imaging enhances esophageal cancer detection capabilities.

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Manuscript ID.  0809
Paper No.  2023-SAT-P0602-P005
Min-Zhen Lu The Phasor Approach to Fluorescence Lifetime for High Contrast Analysis
Min-Zhen Lu, Zhi-Wei Xu, Chia-Yuan Chang, National Cheng Kung University (Taiwan)

Fluorescence lifetime imaging microscopy (FLIM) technology is a non-destructive detection method known for its numerous advantages, such as providing quantitative measurements and high sensitivity. In recent years, scientists have developed various advanced algorithms for analyzing fluorescence lifetime data, driven by the need to handle larger datasets and reduce analysis times. These algorithms include phasor analysis (PA), maximum likelihood estimate (MLE), and others. This study's primary objective is to comprehensively explain the computational methods employed in phasor analysis and the traditional curve fitting method. Furthermore, it seeks to highlight the differences and distinctions between these two algorithms.

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Manuscript ID.  0680
Paper No.  2023-SAT-P0602-P006
Yu-Chain Lin Optimum regularization parameter selection for diffuse optical imaging through L-curve and U-curve methods
Nian-Du Wu, Yu-Chain Lin, Min-Chun Pan, National Central University (Taiwan)

This study explores and implements the use of L-curve and U-curve method to determine the regularization parameter to reconstruct diffuse optical images and use some simulated measurement data to observe the image reconstruction. Some synthesized case examples and experimental ones as well are conducted to verify the performance. uses some simulated measurement data to observe the image reconstruction.

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Manuscript ID.  0976
Paper No.  2023-SAT-P0602-P007
Yip-Chun But An ultra-high resolution 3D imaging platform for whole intact mouse brain
Yip-Chun But, Bhaskar Jyoti-Borah, Graduate Institute of Photonics and Optoelectronics (Taiwan); Chi-Wen Liong, Shih-Kuo Chen, Graduate Institute of life science (Taiwan); Chi-Kuang Sun, Graduate Institute of Photonics and Optoelectronics (Taiwan)

Revealing the 3D structure neural network play an important role in the studies of neuroscience. However, image contrast and image quality in deep brain degrade due to the scattering of both excitation beam and the emission light. Here, we report the development of a high-resolution 3D imaging platform for intact whole mouse brain. An ultrahigh 0.475μm lateral resolution even at the bottom of a whole intact mouse brain was achieved, corresponding to a 7.3 mm penetration depth in brain tissues.

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Manuscript ID.  0995
Paper No.  2023-SAT-P0602-P008
Szu-Yu Chen Combining PCA and Two-photon Hyperspectral Imaging to Develop Wood Analysis Methodology
Szu-Yu Chen, Wei-Ting Lai, National Central University (Taiwan); Chih-Hsiung Chen, National Museum of Natural Science (Taiwan)

Analysis of wood is generally based on observing its external characteristics to determine the type and quality of the wood. However, it cannot accurately identify the chemical composition and structural characteristics, thus failing to meet the requirements of modern industry for wood quality control. This study utilizes two-photon hyperspectral microscopy as a tool to analyze the two-photon fluorescence spectra of three types of softwoods and nine types of hardwoods. It combines techniques such as linear unmixing, principal component analysis (PCA), and KNN to establish models and explore the possibility of differentiating between softwood and hardwood using two-photon fluorescence spectra.

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