Session Index

Biophotonics and Biomedical Imaging

Poster Session I
Friday, Dec. 4, 2020  15:40-17:30
Presider: Prof. Arthur Chiou
Prof. Chia-Lung Hsieh
Room: 6AB Courtyard
Notes:
Manuscript ID.  0710
Paper No.  2020-FRI-P0601-P001
Ying-Ju Tsai
Award Candidate
Electric field Monte Carlo simulation of propagation special light beam in turbid media
Ying-Ju Tsai;Sunil Vyas;Kung-Bin Sung;Yuan Luo

Electric field Monte Carlo method can be used to include the phase and polarization state of complex light in turbid media. In this paper, based on EMC framework we investigate the depolarization dependency of special beams over the penetration depth and the scattering properties in turbid medium for biomedical applications.

 
 
Manuscript ID.  0721
Paper No.  2020-FRI-P0601-P002
Yu-Hsiang Chang
Award Candidate
Red Blood Cell Morphology Explored with High-Throughput Label-Free Three-Dimensional Digital Holographic Microscopy
Yu-Hsiang Chang;Yang-Hsien Lin;Kung-Bin Sung

Blood-related diseases can cause red blood cell abnormal morphology and deformability. The high-throughput label-free digital holographic microscopy (DHM) with the refocusing feature, can be used to record cells’ three-dimensional refractive index (RI) distribution and viscoelastic. Via simulation, the relation between Zernike fitting and phase image has been discovered and implemented.

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Manuscript ID.  0078
Paper No.  2020-FRI-P0601-P003
Ting-Yen Tsai
Award Candidate
Quantitative spectroscopic comparison of the optical properties of the mouse cochlear microstructures using optical coherence tomography at 1.3 µm and 1.06 µm wavelength regimes
Ting-Yen Tsai;Ting-Hao Chen;Hsin-Chien Chen;Chuan-Bor Chueh;Yin-Peng Huang;Yi-Ping Hung;Meng-Tsan Tsai;Chih-Hung Wang;Hsiang-Chieh Lee

The mammalian cochlear is a complex anatomy related to the hearing function and especially its spiral structure and hair cell in the inner ear. In this study, we quantified the mouse cochlear’s optical properties through the spectroscopic comparison, two different center wavelength home-build swept-source optical coherence tomography were using.

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Manuscript ID.  0346
Paper No.  2020-FRI-P0601-P004
JYUN ZONG YU
Award Candidate
Noninvasive inspection for Laser Material Processing with Multiphoton-excited fluorescence microscopy
JYUN ZONG YU;Chia Yuan Chang;JUI CHI CHANG;YU CHENG WU;HSIN YU CH;CHIEN JUNG HUANG

Laser material processing at micrometer resolution includes optical ablation with high laser pulse energy and laser-induced material modification. According to the material optical properties, the multiphoton-excited fluorescence microscopy (MPEFM) could perform noninvasive inspection by reconstructing the 3D fluorescence images that could directly see the processed morphology in specimen

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Manuscript ID.  0335
Paper No.  2020-FRI-P0601-P005
Chia-Ming Liu
Award Candidate
Study of the Graphene Film to enhance Raman Scattering signal for DNA Detection
Chia-Ming Liu;Phuong Nguyen;Chun-Nien Liu;Yeshaiahu Fainman;Charles Tu;Wood-Hi Cheng

Graphene was shown to be a useful additive material to SERS substrate in DNA detection thanks to its ability to significantly enhance the DNA signal, while the sample preparation is very fast and simple. Therefore, the addition of graphene could offer a new DNA detection method using nano-sized cells.

 
 
Manuscript ID.  0447
Paper No.  2020-FRI-P0601-P006
Luo Xin-Yu
Award Candidate
Automatic Tumor Identification Of Optical Coherence Tomography Images Based On U-net Model
Luo Xin-Yu;Chao Yi-Ping;Tsai Meng-Tsan

In this study, we proposed to use optical coherence tomography (OCT) to investigate the skin tumor. Then, U-net model is implemented for automatic identification of tumor region. From our results, the proposed method enables to effectively distinguish different tissue components of skin and the tumor region can be accurately distinguished.

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Manuscript ID.  0466
Paper No.  2020-FRI-P0601-P007
Ching-Wei Chiu
Award Candidate
Compact detection system of fluorescence emission and absorption from liquid sample based on integration of gradient guided-mode resonance with CCD imager
Ching-Wei Chiu;Jing-Jhong Gao;Cheng-Sheng Huang

In this study, a novel compact liquid assay detection platform based on gradient grating period guided-mode resonance (GGP-GMR) atop of a CCD is demonstrated. The system successfully detect the intensity and peak wavelength variation at different concentration for two commonly used fluorescent dyes (6-FAM and 5-TAMRA) in DNA detections.

 
 
Manuscript ID.  0771
Paper No.  2020-FRI-P0601-P008
Ming-Jung Tai
Award Candidate
Design and performance of a portable and multichannel SPR biosensor systems
Ming-Jung Tai;Nan-Fu Chiu

We demonstrate a portable and multichannel SPR biosensor based on hand-held platforms. We design a disposable chip that includes microfluidic and micro-optical system. The overall size of the portable system is only 15cm× 20cm×10cm. This cost-effective and sensitivity SPR biosensor system for medical diagnostics, environmental monitoring, and food safety applications.

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Manuscript ID.  0161
Paper No.  2020-FRI-P0601-P009
Fu-Rong Chen
Award Candidate
Optimal Spacing between LED and Photodiode in Reflective Heart Rate Monitoring
Fu-Rong Chen;Tzong-Shiun Li;Shang-Ping Ying

In this study, the non-invasive evaluation of reflective heart rate monitoring (HRM) is performed. The optical simulation is used to evaluate the capability of a reflective HRM with human skin. Thus, the choice LED and photodiode (PD)、baffle plate, the distances between the components are important for HRM design.

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Manuscript ID.  0718
Paper No.  2020-FRI-P0601-P010
Nguyet Thi Anh Nguyen
Award Candidate
InGaN Quantum Wells – based substrate for DNA detection by SERS
Nguyet Thi Anh Nguyen;Trung Kieu Dang;Kun-Yu Lai

The GaN structures with and without InGaN QWs were fabricated by the MOCVD to serve as a SERS substrate. The Raman enhancement of the single-strand Cytosine DNA on theses substrates showed the effect of InGaN QWs in SERS, which can be understood by the 1D-DDCC software built-energy band diagram.

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Manuscript ID.  0693
Paper No.  2020-FRI-P0601-P011
Chung-Wei Chiu
Award Candidate
Computational Fabry- Pérot Spectrometer in 1.55μm range
Chung-Wei Chiu

We’ve reached a significant breakthrough in Fabry-Pérot spectrometer, as the spectrum must be measured less than the limit of a free spectral range and constructed a new form of spectrometer: Experimentally, we achieved the scanning performance of the FP spectrometer by the change of the refractive index through driving voltage.

 
 
Manuscript ID.  0465
Paper No.  2020-FRI-P0601-P012
Yu-Chi Lin
Award Candidate
Gradient Grating Period Guided-Mode Resonance Biosensor
Yu-Chi Lin;Hua-Cheng Lin;Yen-Chieh Wang;Jia-Ming Yang;Cheng-Sheng Huang;Shao-Hsuan Kuo;Bor-Ran Li

In this study, a novel gradient grating period guided-mode resonance (GGP-GMR) biosensor is proposed, and albumin was successfully detected as a test model. The simple design and easy fabrication of the GGP-GMR sensor combined with its simple readout and optical path design facilitates system miniaturization.

 
 
Manuscript ID.  0580
Paper No.  2020-FRI-P0601-P013
Szu-Yu Chen
Award Candidate
Spruce wood study via two-photon hyperspectral imaging
Szu-Yu Chen;Po-Lin Chen;Hwan-Ching Tai;Jia-Wei Xu

To reveal the changes of spruce due to chemical treatment and aging, a two-photon hyperspectral system has been applied to investigate the autofluorescence and second harmonic generation within wood. The cellular structures were observed through optical sectioning and the spectral variations were revealed among different samples and different cellular structures.

 
 
Manuscript ID.  0609
Paper No.  2020-FRI-P0601-P014
Jui-Tse Hsiao
Award Candidate
Hydrogel-based PH Sensor Tips for Urinary Urea Detection in Cats
Jui-Tse Hsiao;Zi-Fan Cao;Li-Yin Chen;Hsiao-Wen Zan;Hsin-Fei Meng

We demonstrated a miniaturized sensor to detect the urinary urea concentration in cats. The sensor composed by pH indicator doped hydrogel and a Y-shape fiber that delivered and collected signals. A linear calibration curve was successfully built to read the urea concentration in urine solution obtained from cat litter.

 
 
Manuscript ID.  0635
Paper No.  2020-FRI-P0601-P015
Shu Wen Chang
Award Candidate
Nuclei Segmentation and Analysis of In Vivo Human Skin Image using Deep Learning
Yu Hung Wu;Sheng Lung Huang;Shu Wen Chang

An exploratory dermatology clinical trial was conducted using cellular-resolution optical coherence tomography (OCT). The nuclei in skin OCT images were segmented by the convolutional neural network. After segmentation, the achieved Dice coefficient was 0.58±0.02. The depth-dependent nuclei ellipticity can be readily obtained from the in vivo measurement.

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Manuscript ID.  0651
Paper No.  2020-FRI-P0601-P016
An-Cin Li
Award Candidate
U-net based asymmetric phase-contrast synthesis for isotropic quantitative differential phase contrast imaging
An-Cin Li;Yu-Hsiang Lin;Hsuan-Ming Huang;Yuan Luo

Quantitative differential phase contrast (qDPC) is a label-free imaging technique for resolving the phase information of the thin transparent object. To improve qDPC system for monitoring rapid changes in the sample. We adapt deep neural networks (DNN) to achieve isotropic differential phase contrast (iDPC) imaging and reduce the acquisition time.

 
 
Manuscript ID.  0595
Paper No.  2020-FRI-P0601-P017
Apoorv Chaudhari
Award Candidate
Infrared Sensor System for Sleep Monitoring
Yusheng Yang;Chenyi Liao;Jian-an Liao;Nien-Po Chen;Apoorv Chaudhari;Chiung Reng Tai;Yeh-Liang Hsu;Jonathon David White

Sleep disturbances accompanying Alzheimer’s disease are a serious problem. A thermal imaging camera, combined with a passive infrared motion sensor controlled by an ESP32 were used to monitor a bed, in order to provide feedback on patients' motion and bed occupancy.

 
 
Manuscript ID.  0428
Paper No.  2020-FRI-P0601-P018
En-Yu Liao
Award Candidate
Investigating the Optical Clearing Effect of in Vivo Human Skin using Harmonic Generation Microscopy
En-Yu Liao;Yi-Hua Liao;Pei-Jhe Wu;Chi-Kuang Sun

This study aims to compare the optical clearing effects of polyethylene glycol 400, propylene glycol (PG), and glycerol with the combination of ultrasound treatment through human skin in vivo. Our results indicate that 25% PG with ultrasound treatment for total one hour provides optimum efficiency among all conditions.

 
 
Manuscript ID.  0634
Paper No.  2020-FRI-P0601-P019
Chia Pei Liao
Award Candidate
Corneal sub-basal nerve reconstruction and quantification with cellular-resolution optical coherence tomography
Chia Pei Liao;Chih Chieh Chen Lin;Wei Li Chen;Sheng Lung Huang

The 3D dendritic path of corneal sub-basal nerve makes it difficult to visualize. Using the strong scattering of the Bowman’s layer as a guide, the sub-basal nerve plexus is projected on a 2D plane to extract the features. As a result, 12 parameters are defined to quantify the nerve morphology.

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Manuscript ID.  0641
Paper No.  2020-FRI-P0601-P020
An-Ho Huang
Award Candidate
Integration of OCT and Raman Spectroscopy for Discrimination of Skin Cancer Cells with Machine Learning
An-Ho Huang;Cian You;Ming-Yi Lin;Jeng-Wei Tjiu;Sheng-Lung Huang

OCT was integrated with Raman spectroscopy to distinguish various cancerous and normal skin cells via machine learning. Features of OCT images were effective in differentiating the cancerous and normal cells (~80% accuracy). Using the Raman spectra, melanoma cells and keratinocyt-based cell carcinoma can be distinguished with near 100% accuracy.

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Manuscript ID.  0438
Paper No.  2020-FRI-P0601-P021
Wan-Yi Chen
Award Candidate
Machine Learning for Classification of Migraine Based on Near-Infrared Spectroscopy
Wan-Yi Chen;Wei-Ta Chen;Wei-Chih Tang;Chia-Wei Sun

Migraine is a common neurological disease and based on the cerebrovascular reactivity in prefrontal cortex, we used near-infrared spectroscopy (NIRS) as a biomarker during mental arithmetic. In our study, we found out significant differences between healthy controls and migraine patients, and the classification results by machine learning had 85% accuracy.

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