Session Index

S6. Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging I
Friday, Dec. 2, 2022  13:00-15:00
Presider: Fan-Ching Chien、Yi-Chun Chen
Room: 2F A202
13:00 - 13:15 Award Candidate (Paper Competition)
Manuscript ID.  0576
Paper No.  2022-FRI-S0601-O001
Guan-Ying Chen In vivo voltage imaging of mice deep brain neurons by using a 1.5-kilohertz frame rate two-photon microendoscopy system
Guan-Ying Chen, Zhen-Yi Hong, National Taiwan University (Taiwan); Po-Ting Yeh, National Taiwan University (Taiwan), National Taiwan University and Academia Sinica (Taiwan); Bhaskar Jyoti Borah, National Taiwan University (Taiwan); Yen-Hsu Lu, National Taiwan University Hospital (Taiwan); Shih-Kuo Chen, National Taiwan University (Taiwan), National Taiwan University and Academia Sinica (Taiwan); Ni-Chung Lee, Wuh-Liang Hwu, National Taiwan University Hospital (Taiwan); Chi-Kuang Sun, National Taiwan University (Taiwan)

To find out how neurons in Suprachiamatic nucleus, a small nucleus at the bottom of the hypothalamus that acts as the principal circadian clock of brains, generate a coherence daily rhythm, the computed neuronal network at SCN is necessary to be clarified. Among genetically encoded voltage indicators, ASAP-family are currently the only ones to reflect single-spike signals and to optically characterize individual neuron coding dynamics. We report a 1.5-kilohertz-frame-rate microendoscopy system with GRIN lens which enables high-speed two-photon voltage imaging to observe the quick response of action potential in deep mice brain, and thus help identify the millisecond-level neuronal activity.

  Preview abstract
13:15 - 13:30 Award Candidate (Paper Competition)
Manuscript ID.  0709
Paper No.  2022-FRI-S0601-O002
Wei-Ju Chen Inter-Modality Unsupervised Image Translation from Harmonic generation microscopy (HGM) image to H&E-stained image via Deep Learning Network
Wei-Ju Chen, National Tsing Hua University (Taiwan); En-Yu Liao, National Taiwan University (Taiwan); Tsung-Ming Tai, NVIDIA (Taiwan); Yi-Hua Liao, Chi-Kuang Sun, National Taiwan University (Taiwan); Cheng-Kuang Lee, Simon See, NVIDIA (Taiwan); Hung-Wen Chen, National Tsing Hua University (Taiwan)

Harmonic generation microscopy (HGM) is a non-invasive in-vivo label-free 3D imaging technique. In recent years, HGM shows great potential in improving quality and efficiency in medical treatment. However, the image modality of HGM is different from widely-used H&E-staining approach which pathologists are familiar with. This paper proposes a new image translation from HGM images to H&E-stained images. Specifically, this paper presents an unsupervised deep-learning based methodology to effectively synthesize H&E-stained image with given HGM image. Result indicates that the proposed methodology is promising in medical image translation and hopefully will facilitate adopting HGM in clinical workflows in the near future.

  Preview abstract
13:30 - 13:45 Award Candidate (Paper Competition)
Manuscript ID.  0827
Paper No.  2022-FRI-S0601-O003
Hao-Chung Chi Clear and Deep Temporal Focusing Multiphoton Microscopy via Prediction Model with Depth Information
Hao-Chung Chi, College of Photonics (Taiwan); Yvonne Yuling Hu, Department of Photonics (Taiwan); Feng-Chun Hsu, Chia-Wei Hsu, Yu-Hao Tseng, Chun-Yu Lin, Shean-Jen Chen, College of Photonics (Taiwan)

The temporal focusing multiphoton microscopy can rapidly provide 3D imaging, but strong scattering through biotissue will degrade the image quality and reduce the penetration depth. In the study, we present a prediction learning model with depth information to overcome. A 3D U-Net network with digital propagation matrix has been developed to predict and improve different layer images under cross-modality training. Furthermore, a long short-term memory-based network, which is designed to forecast the deeper information according to previous 3D information, is introduced for the prediction of depth information.

  Preview abstract
13:45 - 14:00 Award Candidate (Paper Competition)
Manuscript ID.  0389
Paper No.  2022-FRI-S0601-O004
Nian-Du Wu Optimum regularization parameter selection though U-curve method for diffuse optical imaging
Nian-Du Wu, Min-Chun Pan, National Central University (Taiwan)

This study explores and implements the use of 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.

  Preview abstract
14:00 - 14:15 Award Candidate (Paper Competition)
Manuscript ID.  0813
Paper No.  2022-FRI-S0601-O005
Yen-Chih Yu U-net model for Single-Axis Quantitative Differential Phase Contrast imaging of cells
Yen-Chih Yu, National Tsing Hua University (Taiwan), National Taiwan University (Taiwan); Sunil Vyas, National Taiwan University (Taiwan); J. Andrew Yeh, National Tsing Hua University (Taiwan); Yuan Luo, National Taiwan University (Taiwan)

Isotropic Quantitative Differential Phase Contrast Microscopy (iDPC) is a novel
phase imaging method. We can accurately quantify structural information in living cells under
label-free conditions. Here, we present a U-net model that implements the transformation from
intensity to phase images and obtain the quantitative phase information. Compared to use of
Tikhonov regularization, this deep learning model not only replaces complex calculation and
parameter setting but also achieves isotropic results with only half the number of images, and
incresese the imaging efficiency two times. The results facilitate time-lapse observation for
recording dynamic cellular information.

  Preview abstract
14:15 - 14:30 Award Candidate (Paper Competition)
Manuscript ID.  0256
Paper No.  2022-FRI-S0601-O006
Chung-Hsuan Huang Investigating neuroblastoma cell death with holographic tomography
Chung-Hsuan Huang, Yun-Ju Lai, National Taiwan Normal University (Taiwan); Han-Yen Tu, Chinese Culture University (Taiwan); Chau-Jern Cheng, National Taiwan Normal University (Taiwan)

We present a label-free approach to achieve three-dimensional measurement and quantitative analysis in tens of seconds for cell death using holographic tomography. In the experimental results, the morphological changes and internal structures of neuroblastoma cell in autophagy and apoptosis are demonstrated with three-dimensional tomographic images.

  Preview abstract
14:30 - 14:45 Award Candidate (Paper Competition)
Manuscript ID.  0311
Paper No.  2022-FRI-S0601-O007
Yang Chen Development of Functional Optical Coherence Tomography (FOCT) for small animal ophthalmic application
Yang Chen, Yu-Ting Kuo, Wen-Chuan Kuo, National Yang Ming Chiao Tung University (Taiwan)

This study aimed to develop a versatile OCT ophthalmic detection platform, including structural imaging, angiography, and stimulus-evoked Intrinsic Optical Signal (IOS). We obtain cross-sectional images of the retinal structures of BALB/c mice under optical stimulation by OCT scanning. In addition, IOS assessments were performed for the cross-sectional images of retinal structures, providing a non-invasive, non-contact, and relatively simple method for evaluating eye function.

  Preview abstract
14:45 - 15:00 Award Candidate (Paper Competition)
Manuscript ID.  0768
Paper No.  2022-FRI-S0601-O008
Chien-Hua Peng Development of high-speed polarization-sensitive optical coherence tomography imaging based on HCG-VCSEL
Chien-Hua Peng, Yu-Cheng Mei, National Taiwan University (Taiwan); Hung-Kai Chen, Bandwith10 Ltd (USA); Ting-Yen Tsai, Ting-Hao Chen, Chuan-Bor Chueh, National Taiwan University (Taiwan); Michael C. Y. Huang, Bandwith10 Ltd (USA); Hsiang-Chieh Lee, National Taiwan University (Taiwan)

PS-OCT is a non-destructive and three-dimensional imaging technique that can provide polarization property, e.g., phase retardation and optical axis, as well as the architectural information similar to conventional OCT from the sample. In this study, we have developed a high-speed PS-OCT imaging engine by using a novel wavelength-swept laser light source based on HCG-VCSEL. Example PS-OCT imaging including the human fingernail junction, 3D plastic printing material and the chicken breast tissue demonstrated the depth resolved measurement of the multifunctional information of the sample with PS-OCT and HCG-VCSEL light source at an A-scan rate of 250 kHz.

  Preview abstract

S6. Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging II
Friday, Dec. 2, 2022  15:15-17:00
Presider: Yu-Chun Lin、Sheng-Hao Tseng
Room: 2F A202
15:15 - 15:45
Manuscript ID.  0900
Paper No.  2022-FRI-S0602-I001
Invited Speaker:
Sheng-Hao Tseng
Model-driven diffuse reflectance spectroscopy for retrieving various local and systematic functional parameters of the human body
Sheng-Hao Tseng, National Cheng Kung University (Taiwan)

Diffuse spectroscopy, a variant of diverse spectroscopic methods, has been used for investigating tissue properties for decades. This technique can work with proper models to noninvasively quantify chromophore concentrations of bulk tissues. Models designed for deep tissue interrogation have been established to enable the application of diffuse spectroscopy for studying the dynamics of functional parameters of deep tissues, such as stimulation-induced hemodynamics of the brain or muscle, or the variation of water and fat concentrations of breasts caused by chemotherapy. On the other hand, due to the strong stochastic nature of light propagation in turbid media near the light source, building models for superficial tissue studies have been a challenging task and thus this topic has been vastly studied in recent years. In this talk, I will discuss the attempts we have made to develop useful models that can work in conjunction with specialized diffuse reflectance spectroscopy configurations for the effective evaluation of functional parameters of superficial tissues such as skin collagen, hemoglobin, bilirubin, and glucose. It will also be illustrated how these local and systematic functional parameters are related to the monitoring or diagnosis of numerous diseases such as keloid, psoriasis, jaundice, and diabetes.

  Preview abstract
15:45 - 16:00 Award Candidate (Paper Competition)
Manuscript ID.  0720
Paper No.  2022-FRI-S0602-O001
Pei-Chia Tsai Deep Learning for Automatic Neural Canal Opening Detection with Differentiable Spatial to Numerical Transform
Pei-Chia Tsai, National Yang Ming Chiao Tung University (Taiwan)

Our previous work has achieved automatic neural canal opening (NCO) detection by deep learning model with fully connected (FC) layer connected after a convolutional neural network (CNN). Considering the lost spatial information of the FC layer and generality of the model, we replace the FC layer with the differentiable spatial to numerical transform (DSNT) layer in this work. Our model converges faster with an accuracy of 97% and an intersection over union (IoU) of 0.85, which is close to the accuracy (97%) and IOU (0.87) of previous work.

  Preview abstract
16:00 - 16:15 Award Candidate (Paper Competition)
Manuscript ID.  0460
Paper No.  2022-FRI-S0602-O002
Yun-Jie Jhang Deep Unsupervised Learning for Image Enhancement in Nonlinear Optical Microscopy
Yun-Jie Jhang, National Tsing Hua University (Taiwan); Xin Lin, Shih-Hsuan Chia, Zi-Ping Chen, National Yang Ming Chiao Tung University (Taiwan); Wei-Chung Chen, I-Chen Wu, Kaohsiung Medical University (Taiwan); Ming-Tsang Wu, Kaohsiung Medical University (Taiwan), Kaohsiung Medical University Hospital (Taiwan); Guan-Yu Zhuo, China Medical University (Taiwan); Hung-Wen Chen, National Tsing Hua University (Taiwan)

We present an unsupervised model to enhance images in nonlinear optical microscopy. Without statistical assumptions, it can be applied to unseen samples with various hardware settings which shows significant improvement in the image-enhancement task.

  Preview abstract
16:15 - 16:30 Award Candidate (Paper Competition)
Manuscript ID.  0300
Paper No.  2022-FRI-S0602-O003
Md Azaharuddin Ansari Modification of Dynamic Lighting System to Meet Canadian Safety Standards
Md Azaharuddin Ansari, Apoorv Chaudhari, Yuan Ze University (Taiwan); Jonathon David White, Yuan Ze University (Taiwan), McMaster University (Canada); Nafia AL-Mutawaly, McMaster University (Canada)

Quality of life can be improved in people living with dementia (PWD) by reducing the sleep disturbance. Studies show that the 24-hour light cycles is a key trigger affecting sleep. We developed a dynamic lighting system to generate uniform white light using 6 different colored LEDs that varies over 254 hours. The intensity at wavelength (λ)~480 nm maximizes at noon, reduces during the evening hours and is minimal at night causing a person wakeful. This system was redesigned to meet Canadian and North American safety standards.

  Preview abstract
16:30 - 16:45 Award Candidate (Paper Competition)
Manuscript ID.  0410
Paper No.  2022-FRI-S0602-O004
Nazish Murad A Hybrid Algorithm for Imaging Breast Tumor(s) in Highly Scattered Non-Homogeneous Medium
Nazish Murad, Min-Chun Pan, National Central University (Taiwan)

The aim of this paper is to demonstrate a novel architecture of deep learning that addresses the prediction of breast cancer when it pertains to diffuse optical imaging (DOI). We were able to localize structure representations in larger areas more effectively than in smaller structures using our hybrid architecture. This study is among the foremost to specifically address signal and image domains combined in diffusion reconstruction in DOT. The network connects two encoders with one decoder path, which optimally utilizes more information from signal data and raw images.

  Preview abstract
16:45 - 17:00 Award Candidate (Paper Competition)
Manuscript ID.  0800
Paper No.  2022-FRI-S0602-O005
Ying-Ju Chen Quantitative Differential Phase Contrast Microscopy for Phase Retrieval with Self-supervised Neural Network
Ying-Ju Chen, Sunil Vyas, Hsuan-Ming Huang, Yuan Luo, National Taiwan University (Taiwan)

Quantitative differential phase contrast (QDPC) microscopy plays an essential role in the biological field since it visualizes thin transparent samples. Tikhonov regularization is typically used for phase reconstruction in QDPC imaging. However, the regularization parameter needs to be tuned manually and the selection of the parameter influences reconstructed phase images. We proposed a self-supervised deep learning-based algorithm using deep image prior (DIP) to solve this issue. The algorithm can predict phase without pre-training with a dataset and ground truth images with DIP. The proposed method was simulated, and a standard phase target was used to validate the method's feasibility.

  Preview abstract

S6. Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging III
Saturday, Dec. 3, 2022  10:45-12:00
Presider: Chia-Wei Sun
Room: 2F A202
10:45 - 11:15
Manuscript ID.  0901
Paper No.  2022-SAT-S0603-I001
Invited Speaker:
Bi-Chang Chen
Probing the protein orientation at its native state
Bi-Chang Chen, Academia Sinica (Taiwan)

3D optical imaging of biological tissue at high spatial resolution over a large scale bridges the observation and understanding of biological systems at cellular and tissue level. Imaging and reconstruction of physically sectioned tissue slices was perhaps the only way to perform such study. Although it is possible to achieve submicron, even super resolution by imaging thin tissue slices, the method wasn’t widely adopted due to the technical limitations and practical difficulties to implement the technique in different researches.
Expansion microscopy (ExM) is an emerging technology that enables biological samples to be imaged with nanoscale precision and resolution on ordinary, diffraction-limited microscopes. ExM generally works by physically magnifying a specimen in a uniform (isotropic) manner in three dimensions, which could easily achieve super-resolved image on the diffraction-limited microscope.
The holy grail in optical microscopy is imaging 3D biological specimen with the resolution, the same as in electron microscopy. Electron microscopy (EM) has a lot better spatial resolution but no color information and presumably limited to 2D. Instead, optical microscopy has chemical information due to fluorescent labeling with 3D fashion. Here, we are performing lightsheet microscopy combined with expansion microscopy to let optical microscopy meet electron microscopy and aim to map the orientation of the protein of interest at the intact tissue without physically sectioning.

  Preview abstract
11:15 - 11:30
Manuscript ID.  0062
Paper No.  2022-SAT-S0603-O001
Hsin-Jou Wang Bone mineral density prediction by deep learning with optical bone densitometry
Hsin-Jou Wang, National Yang Ming Chiao Tung University (Taiwan); Wei-Chun Chang, Taipei Municipal Wan fang Hospital (Taiwan); Tsai-Hsueh Leu, Taipei City Hospital Renai Branch (Taiwan); Yi-Min Wang, Gautam Takhellambam, Chia-Wei Sun, National Yang Ming Chiao Tung University (Taiwan)

Osteoporosis is a severe health problem in an aging society, causing patients to suffer a higher risk of bone injury. As a result, early diagnosis is essential. To achieve quick, easy, low-cost, and non-invasive detection of osteoporosis, we develop an optical bone densitometer to predict bone mineral density via deep learning algorithm. The recent results are improved from our previous study, revealing the potential of OBD in BMD prediction.

  Preview abstract
11:30 - 11:45
Manuscript ID.  0178
Paper No.  2022-SAT-S0603-O002
Chang-Yi Lee Machine learning classification applying the combination of functional near-infrared spectroscopy and APACHE-II scoring on extracorporeal membrane oxygenation patients
Chang-Yi Lee, Ting-Wei Chiang, National Yang Ming Chiao Tung University (Taiwan); Hsiao-Huang Chang, Taipei Veterans General Hospital (Taiwan); Chia-Wei Sun, National Yang Ming Chiao Tung University (Taiwan)

Our study aims to use non-invasive near-infrared spectroscopy (NIRS) to detect the changes in blood oxygen concentration of extracorporeal membrane oxygenation (ECMO) patients when adjusting speed. First, we apply various data processing to the measured blood oxygen value and record the patient's APACHE-II scale score. Patients are divided into two groups by scores of 24. Afterward, we combine the metric blood oxygen information with the APACHE-II scores and do binary classification. In Veno-Arterial (VA) group, we get the train and test accuracies of 83.3% and 81.8%, while in Veno-Venous (VV) group, the corresponding accuracies are 81.8% and 72.7%.

  Preview abstract
11:45 - 12:00
Manuscript ID.  0177
Paper No.  2022-SAT-S0603-O003
Yung-Chang Chen Application of machine learning for operation outcome from peripheral arterial occlusive disease
Yung-Chang Chen, Pin-Yu Kuo, Biomedical Optical Imaging Lab (Taiwan); Jen-Kuang Lee, Chau-Chung Wu, Division of Cardiology (Taiwan); Chia-Wei Sun, Biomedical Optical Imaging Lab (Taiwan)

Providing an appropriate prognosis for patients with peripheral arterial occlusive disease (PAOD) is essential. In this study, near-infrared spectroscopy (NIRS) was used to monitor the change of blood oxygenation of the lower limbs, combined with support vector machine (SVM) to build a prediction model of surgical effect. The model training and testing accuracies are 89.19 % and 80 %, respectively. In addition, the result of feature selection showed that tissue saturation index (TSI) could reflect the adjustment and stability of blood oxygenation of patients under external influence.

  Preview abstract

S6. Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging IV
Saturday, Dec. 3, 2022  13:00-15:15
Presider: Wen-Chuan Kuo、Chia-Lung Hsieh
Room: 2F A202
13:00 - 13:30
Manuscript ID.  0902
Paper No.  2022-SAT-S0604-I001
Invited Speaker:
Chia-Lung Hsieh
Label-free imaging of nanoscale cell dynamics by scattering-based optical interference microscopy
Chia-Lung Hsieh, Academia Sinica (Taiwan)

Cell imaging largely relies on fluorescence-based microscopy because of the high detection sensitivity and molecular specificity achieved by labeling the sample with fluorophores. Unfortunately, resolving nanoscopic cell dynamics remains a challenge due to the photobleaching of fluorophores. In this talk, I will present scattering-based optical interference microscopy that facilitates direct visualization of nano-dynamics in living cells. The linear scattering signal is stable and indefinite, supporting sensitive and precise measurements at a high speed. Using common-path interferometry, the scattering imaging is highly sensitive, enabling direct observation of nano-sized biological objects. With proper image data analysis, organelle specific, high-resolution cell images can be obtained without any labels. Using our methods, rapid biological processes occurring in the millisecond timescale are resolved at high spatiotemporal resolution, including remodeling of chromatin and endoplasmic reticulum network. The label-free optical interference microscopy offers the opportunity to explore nanoscale cell dynamics with unprecedented details

  Preview abstract
13:30 - 13:45
Manuscript ID.  0875
Paper No.  2022-SAT-S0604-O001
Je-Chi Jang Video-rate three-photon imaging in deep drosophila brain based on a single Cr:forsterite laser oscillator
Je-Chi Jang, Shao-Hsuan Wu, Lu-Ting Chou, National Yang Ming Chiao Tung University (Taiwan); Ting-Chen Chang, Chung-Ming Chen, Shi-Wei Chu, National Taiwan University (Taiwan); Shih-Hsuan Chia, National Yang Ming Chiao Tung University (Taiwan)

We demonstrated three-photon fluorescence microscopy for drosophila brain imaging based on a 24-MHz Cr:forsterite oscillator. We studied the soliton mode-locking dynamics to optimize the output pulse width and peak power by managing the intracavity dispersion. We have realized three-photon fluorescence imaging, and the imaging contrast and penetration depth are much better than the results obtained from the two-photon excitation. Moreover, we found that the signal-to-background ratio at depth is greatly improved when using shorter pulses from the laser oscillator. For functional imaging applications, we also demonstrated three-photon calcium imaging stimulated by an external electric shock.

  Preview abstract
13:45 - 14:00
Manuscript ID.  0629
Paper No.  2022-SAT-S0604-O002
Hong-Thai Nguyen Endoscopic-based Vision Transformer in Diagnosis of Esophageal Cancer
Hong-Thai Nguyen, Hsiang-Chen Wang, National Chung Cheng University (Taiwan)

Early diagnosis of esophageal cancer is effective in treatment. Currently, computer aid in endoscopic image classification tasks has achieved remarkable achievements. A total of 936 endoscopic images were used for the training, which included 498 white-light images (WLI) and 438 narrow-band images (NBI). The esophageal neoplasms are classified into 3 groups: squamous cell carcinoma, dysplasia, and normal. Vision Transformer is proposed to improve prediction results. The prediction results are as follows: 93.55% of accuracy, and f1-score 92.86%, respectively.

  Preview abstract
14:00 - 14:15
Manuscript ID.  0444
Paper No.  2022-SAT-S0604-O003
Chi-Kuang Sun Noninvasive Clinical Imaging of Hemoglobin-Glycation Levels in Circulating RBCs using srTHG Microscopy
Xuhao Ye, Graduate Institute of Photonics and Optoelectronics (Taiwan); Jin-Ying Lu, Department of Endocrinology and Metabolism (Taiwan); Yi-Hua Liao, Department of Dermatology (Taiwan); Tzung-Dau Wang, Cardiovascular Center and Divisions of Hospital Medicine and Cardiology (Taiwan), Department of Internal Medicine (Taiwan); Chi-Kuang Sun, Graduate Institute of Photonics and Optoelectronics (Taiwan), Department of Internal Medicine (Taiwan)

Glycated-hemoglobin- (HbA1c-) fraction is universally used in diagnosing diabetes and guiding therapy. Our recent efforts indicate that by analyzing the HbA1c distribution of red blood cells (RBCs), one could further unravel the much-needed information of glycemic variability. Here, we introduce spectrally-resolved third-harmonic-generation (srTHG) microscopy, which for the first time noninvasively provide the HbA1c imaging at the single-RBC level and map the HbA1c distributions clinically.

  Preview abstract
14:15 - 14:30
Manuscript ID.  0242
Paper No.  2022-SAT-S0604-O004
Chih-Ting Chang Applying functional near-infrared spectroscopy to evaluate instruction methods
Chih-Ting Chang, Wan-Yi Chen, National Yang Ming Chiao Tung University (Taiwan); Yu-Feng Li, National Taiwan Normal University (Taiwan); Li-Hung Chang, Chia-Wei Sun, National Yang Ming Chiao Tung University (Taiwan)

In this study, we aim to figure out a better instruction method. We apply two instruction method, traditional didactic instruction (TDI) and interactive response system multiple assessment-assisted instructions (IRSAI) to senior high school education. To evaluate the effect on students’ cognitive function, we record the changes in cerebral oxygen concentration in the prefrontal cortex via functional near-infrared spectroscopy (fNIRS). Then, feed the proceed data into a machine learning model to classify, and get the training accuracy and testing accuracy of 85% and 80%, proving the feasibility of instruction evaluation via fNIRS.

  Preview abstract
14:30 - 14:45
Manuscript ID.  0747
Paper No.  2022-SAT-S0604-O005
YU-Hsiang Chen Chip-based Auxiliary Interferometer to Compensate Optical Coherence Tomography Phase Errors
YU-Hsiang Chen, Shih-Hsiang Hsu, National Taiwan University of Science and Technology (Taiwan)

A swept-source optical coherence tomography (SS-OCT) is a non-invasive imaging technique with high resolution in a small area. A fiber-based auxiliary interferometer is implemented in SS-OCT to the correct spatial distance error from laser output nonlinearity. To
deliver the chip-based SS-OCT, a delayed Mach-Zehnder interferometer built with two broadband couplers on the silicon-on-insulator platform demonstrates the axial resolution of 20 mm through the zero-crossing resampling.

  Preview abstract
14:45 - 15:00
Manuscript ID.  0517
Paper No.  2022-SAT-S0604-O006
Cheng-Siou Wu Mach Zander Directional Coupler for Spectral-domain Optical Coherence Tomography
Cheng-Siou Wu, Bo-Liang Chen, Shih-Hsiang Hsu, National Taiwan University of Science and Technology (Taiwan)

A grating coupler-based spectral-domain optical coherence tomography is miniaturized through the photonic integrated circuit technology on a silicon-on-insulator platform. We present the design and technology verification of a Mach-Zehnder typed broadband coupler. The experimental results showed that the A-scan depth information after signal processing was 22.92 um and 48.5 dB for longitudinal resolution and sensitivity, respectively.

  Preview abstract

S6. Biophotonics and Biomedical Imaging

Poster Session I
Saturday, Dec. 3, 2022  14:00-16:00
Room: 3F TR-A318
Award Candidate (Paper Competition)
Manuscript ID.  0820
Paper No.  2022-SAT-P0601-P001
Chun-Chun Chang Compact Diffractive Light Sheet Fluorescence Microscopy for in-vivo Real-time Imaging
Yu-Chun Chen, Chun-Chun Chang, Kuang-Yuh Huang, Yuan Luo, National Taiwan University (Taiwan)

To image living organisms, optical sectioning and high-speed image acquisition are required. Using diffractive optical elements, such as volume hologram and metalens, we designed and developed a compact diffractive light sheet fluorescence microscope (DLSFM) system and experimentally demonstrated in-vivo fluorescence imaging of Caenorhabditis elegans (C. elegans).

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0438
Paper No.  2022-SAT-P0601-P002
Ming-Chi Chen Investigating opioid-modulated cellular localization of μ-opioid and nociceptin receptors by two-photon fluorescence microscopy
Ming-Chi Chen, China Medical University, Taiwan (Taiwan); Cynthia Wei-Sheng Lee, China Medical University Hospital (Taiwan), China Medical University (Taiwan); Guan-Yu Zhuo, China Medical University, Taiwan (Taiwan)

We explored the cellular localization of μ-opioid (MOP) and nociceptin/orphanin FQ (NOP) receptors regulated by opioids. We overexpressed the fluorescence-tagged receptors (MOP-CFP & NOP-YFP) via transfecting HEK 293 cells transiently and then measured the variations of fluorescent signals in single-particle tracking (SPT) and fluorescence resonance energy transfer (FRET) by two-photon fluorescence microscopy. The results could be helpful in unraveling the cellular signaling after these receptors are stimulated by opioids.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0515
Paper No.  2022-SAT-P0601-P003
Jyun-Ping Kao Optical design and realization of nonlinear mesoscope
Jyun-Ping Kao, Chu-Qiao Yu, Wei-Zhong Lin, Bo-Hsien Pan, Je-Chi Jang, Tien-Ching Tsai, Shih-Hsuan Chia, National Yang Ming Chiao Tung University (Taiwan)

We have investigated the optical system design to realize nonlinear mesoscope for optical virtual biopsy. For simplifying the system and realizing image stitching, we generalize the relay lenses system while maintaining a satisfactory two-photon uniformity of 95% at a scanning angle ±7°. We obtain a stitched leaf image at sub-micron resolution with the field of view of 1.8×1.8mm2, without moving the sample. We also integrate the system into a portable setup, including the delivery of femtosecond pulses with manageable nonlinear spectral conversions. We will discuss the feasibility of our system for ex vivo skin observation in the presentation.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0434
Paper No.  2022-SAT-P0601-P004
Chen-Yu Wang Using Diffuse Reflectance Spectroscopy System for Monitoring In-vivo Tissue Vitality Variation
Chen-Yu Wang, Chieh Yeh, Sheng-Hao Tseng, National Cheng Kung University (Taiwan)

The main goal of this study is to design two clinical experiments for examining our diffuse reflectance spectroscopy algorithm’s capability in measuring the variation of cytochrome c and cytochrome c oxidase in mitochondria that are linked to tissue vitality. Our findings suggest that our system could be used to noninvasively monitor wound healing, treatment of hair loss, and diabetic foot caring in the future.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0831
Paper No.  2022-SAT-P0601-P005
Yi-Ting Chen Automatic Controlled Stage-Top Incubator
Yi-Ting Chen, NTU GSAT (Taiwan); Kuang-Yuh Huang, National Taiwan University (Taiwan); Yuan Luo, Institute of Medical Devices and Imaging System (Taiwan), Yong-Lin Institute of Health (Taiwan)

An Arduino based three gas stage-top incubator is designed and developed for biomedical experiment. The Arduino system is used to control three environment conditions: temperature, gas concentration, and humidity. Our system can provide detection of the gas concentration and creates a moderated environment which are useful for biomedical experiments.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0440
Paper No.  2022-SAT-P0601-P006
Po-Yeh Lin Fabrication of biodegradable films using L-lactate as a chiral material to produce circularly polarized light
Po-Yeh Lin, Taipei Medical University (Taiwan); Chien-Ming Chen, National Taipei Uniersity of Technology (Taiwan); Jen-Ai Lee, Taipei Medical University (Taiwan); Yu-Chia Cheng, National Taipei Uniersity of Technology (Taiwan)

Optical activity related to molecular chirality are significant in the circular dichroism characteristics to determine the configuration of a chiral molecule. We used L-lactic acid (L-LA) and a transparent glue to produce biodegradable films. Adjusting the number of layers comprising L-LA and glue leads to different phase differences, forming L-LA films. Six layers and 0.8% L-LA solution were the optimal conditions to fabricate an film. The circular-polarization experiment showed that the change in the signal intensity was less than 2% at a specific angle of the L-LA film. In summary, circularly polarized light was successfully produced using the L-LA film.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0397
Paper No.  2022-SAT-P0601-P007
Ming-Zhi Lin Near-infrared Reflection Spectroscopy based Non-invasive Blood Glucose Technology
Ming-Zhi Lin, Shang-Ping Ying, Minghsin University of Science & Technology (Taiwan)

In this study, the nondestructive blood glucose concentration evaluation of human using near infrared (NIR) spectroscopy measurement is performed. To perform a quantitative analysis, the high power IR LEDs with wavelengths of 850 and 940 nm are used in NIR reflection spectroscopy measurement. Then the calibration model is investigated to predict the blood glucose concentration of the participants from the NIR reflection measurements alone.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0403
Paper No.  2022-SAT-P0601-P008
Cheng-Yeh Wu Development, Miniaturization, and Clinical Verification of Optical Transcutaneous Bilirubinometer
Cheng-Yeh Wu, Bing-Hsuan Sung, Sheng-Hao Tseng, National Cheng Kung University (Taiwan)

Jaundice is a phenomenon of high serum bilirubin concentration. The prevalence of neonatal jaundice can reach 80% and 21%. The gold standard is still the concentration of bilirubin in blood samples. However, this method cannot be used for continuous bilirubin level monitoring. Also, drawing blood from newborns can be difficult. Traditional bilirubin meters are too expensive and are affected by skin tone. Our team has developed a handheld DRS device for non-invasive screening and monitoring of neonatal bilirubin.

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0566
Paper No.  2022-SAT-P0601-P009
Zhi-Hao Jiang Preparation of bilayer molybdenum disulfide biosensing chip for photoelectrochemical response analysis of lung cancer cells
Zhi-Hao Jiang, Pei-Ching Chen, Hsiang-Chen Wang, National Chung Cheng University (Taiwan)

In the research, molybdenum disulfide is grown on the light-absorbing layer of the silicon-based solar element, combined with the self-designed Serrated Interdigitated Elec-trode. The photoelectric flow measurement was performed on pleural effusion with three different types of lung cancer cell clinical samples through the photo-generated charge carrier transport mechanism

  Preview abstract
Award Candidate (Paper Competition)
Manuscript ID.  0756
Paper No.  2022-SAT-P0601-P010
Chang-An Shih Development of Optical Coherence Tomography Imaging Engine based on FPGA
Chang-An Shih, Ting-Hao Tsai, Chuan-Bor Chueh, Ting-Hao Chen, Hsiang-Chieh Lee, National Taiwan University (Taiwan)

Currently, optical coherence tomography (OCT) system requires a high-performance desktop which increases the system cost and complexity. In this study, we proposed an OCT system based on a field programmable gate array (FPGA) to replace the high-performance desktop in conventional OCT systems. As a preliminary study, we used an evaluation FPGA board to validate its feasibility to be implemented in the processing framework we have developed using the spectral-domain OCT system. The preliminary results including system framework and comparison of the processing performance with respect to conventional OCT system will be provided as well.

  Preview abstract

Manuscript ID.  0425
Paper No.  2022-SAT-P0601-P011
Wei-Hsun Wang Changes in the molecular structure of gamma irradiated starches investigated by polarization-resolved second harmonic generation microscopy
Wei-Hsun Wang, Ming-Chi Chen, China Medical University,Taiwan (Taiwan); Nirmal Mazumder, Manipal School of Life Sciences, Manipal Academy of Higher Education (India); Guan-Yu Zhuo, China Medical University,Taiwan (Taiwan)

We present on using polarization-resolved second harmonic generation (P-SHG) microscopy to study changes in the molecular structure of starch granules modified by gamma irradiation. With the characteristic of SHG polarization anisotropy, we extracted the second-order susceptibility, χ(2), tensor of amylopectin, which reflects the underlying molecular details. Then P-SHG microscopy in conjunction with SHG-circular dichroism (CD) were used to identify the inherent chirality of starches and their reaction to different dosages of gamma irradiation. For the first time, the relationship between starch achirality (χ21/χ16 and χ22/χ16) and chirality (χ14/χ16) determining susceptibility tensor ratios have been elucidated.

  Preview abstract

Manuscript ID.  0096
Paper No.  2022-SAT-P0601-P012
Zhi-Wei Xu 3D Tissue Fibrosis Inspection with Multiphoton Microscopy
Zhi-Wei Xu, Jui-Chi Chang, Chia-Yuan Chang, National Cheng Kung University (Taiwan)

Multiphoton excited fluorescence microscopy provides a great spatial excitation resolution for 3D image reconstruction in sub-micron resolution, and is suitable for biological imaging in vivo. We demonstrate a self-built scanning-based MPEFM system. The system lateral resolution is around 0.7 μm and axial resolution is 2.2 μm respectively. We have shown the large scale imaging ability by synchronization with the 3-axis mechanical stage, laser scanning, and fluorescence signal acquisition. The full size of mouse pulmonary fibrosis tissue is successfully reconstructed in high contrast. The experiment result shows the proposed MPEFM system yields a great feasibility for noninvasive biological imaging and analysis.

  Preview abstract

Manuscript ID.  0703
Paper No.  2022-SAT-P0601-P013
Keng-Yang Li Mechanical properties of the mice skin using polarization imaging
Keng-Yang Li, Cheng-Chieh Line, Szu-Yu Chen, National Central University (Taiwan)

As early as mid-19th century, artificial mechanics was proved to change cellular morphology and gene expression. Recent research shows that telogen elongation of mice skin under appropriate tension can stimulate the regeneration of hair follicle. To measure the skin tension required for regeneration, in this study, we used Mueller Matrix polarimetry to record the mouse skin image, while the mouse skin was gradually stretched in eight days. Combining the traditional skin tension measurement via spring and neural network model, the relationship between skin polarization properties and tension was found out. That provides a non-contacting method to measure the skin tension.

  Preview abstract

Manuscript ID.  0605
Paper No.  2022-SAT-P0601-P014
Wei-Ting Lai Two-photon hyperspectral imaging for analysis of spruce woods with different treatments
Zhen-Hao Fang, Keng-Yang Li, National Central University (Taiwan); Hwan-Ching Tai, National Taiwan University (Taiwan); Szu-Yu Chen, Wei-Ting Lai, National Central University (Taiwan)

Spruce is the commonly-used tonewood for violin-family instruments. It’s been shown chemical treatment and aging can cause property changes of wood and affect the acoustic properties of instruments. To reveal the spectral and spatial properties of woods, which abundantly contain lignin and cellulose, two-photon hyperspectral microscopy has been introduced. Through the hyperspectral data containing two-photon fluorescence and second-harmonic generation (SHG) information, the spatial content variations of different lignin fluorescent bases and SHG can be obtained microscopically. Comparing woods without process and with aging, heating, and chemical treatments, the effects of different processes have been reveal through the spectral variations.

  Preview abstract

S6. Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging V
Sunday, Dec. 4, 2022  09:00-10:45
Presider: Chen-Han Huang、Kung-Bin Sung
Room: 2F A202
09:00 - 09:30
Manuscript ID.  0903
Paper No.  2022-SUN-S0605-I001
Invited Speaker:
Kung-Bin Sung
Non-invasive optical sensing of pathological and physiological parameters from tissue in vivo
Kung-Bin Sung, National Taiwan University (Taiwan)

Optical techniques have been increasingly applied to the screening and diagnosis of diseases, as well as non-invasive monitoring and surveillance of physiological states of tissue in vivo. For such sensing purposes, photons entering the tissue undergo multiple scattering events, and some of the photons not absorbed by the tissue return to the tissue surface and get detected. To accurately quantify pathological or physiological parameters from multi-dimensional data, the Monte Carlo (MC) method for solving the radiative transport problem has been developed and treated as the gold standard. However, a significant drawback of MC simulations is the high computational cost which hinders real-time processing. To address this issue, our group has adopted artificial neural networks to speed up MC simulations in several applications to quantify tissue optical properties in vivo. Examples include (1) absorption of melanin in the skin, (2) the strength of auto-fluorescence from the mucosa of the cervical uterine for detecting precancerous lesions, (3) scattering and absorption coefficients of major tissues in the human head to improve functional mapping of the brain activity and dosage quantification in transcranial brain stimulation, and (4) changes in oxygen saturation of venous blood.

  Preview abstract
09:30 - 09:45
Manuscript ID.  0443
Paper No.  2022-SUN-S0605-O001
Shih-Wen Chen Single Mode Lasing from Photonic Crystal of Lepidoptera
Shih-Wen Chen, Bing-Yi Hung, National Taipei University of Technology (Taiwan); Tzu-Chau Lin, National Central University (Taiwan); Ja-Hon Lin, National Taipei University of Technology (Taiwan)

Nature photonic crystals have been attracting researchers for a long time due to their bright reflected lights. Some of them are integrated into laser devices as scattering materials to form random lasing or mirrors to reduce the threshold. Here we discovered the band-edge lasing from photonic crystals in the scales of butterflies with new chromophores of donor-acceptor-donor motifs for the first time. This breakthrough may inspire future designs of photonic circuits or laser applications.

  Preview abstract
09:45 - 10:00
Manuscript ID.  0452
Paper No.  2022-SUN-S0605-O002
Yu-Chiu Kao Red light-induced neurite growth is accompanied with intracellular production of reactive oxygen species
Yu-Chiu Kao, Academia Sinica (Taiwan); Guan-Yun Lin, National Yang Ming Chiao Tung University (Taiwan); Chau-Hwang Lee, Academia Sinica (Taiwan), National Yang Ming Chiao Tung University (Taiwan)

Neurite growth is essential for constructing the nervous system in the development process and the repair after trauma or disease. Numerous studies have shown that photobiomodulation by red or near-infrared light can stimulate neurite growth, but the detailed mechanisms are still unclear. In the present work we verified that 620 and 760 nm laser spots illuminating the soma of neuroblastoma cells (N2a) could cause neurite growth. This red light-induced neurite regrowth process is accompanied with an increase in intracellular reactive oxygen species (ROS).

  Preview abstract
10:00 - 10:15
Manuscript ID.  0197
Paper No.  2022-SUN-S0605-O003
Ting-Hong Hsu Analysis of police overwork with functional near-infrared spectroscopy: using the Copenhagen overwork scale as a criterion
Ting-Hong Hsu, Qing-Yan Hsieh, Yao-Hong Liu, Wen-Yu Wang, Ching-Po Lin, Chia-Wei Sun, National Yang Ming Chiao Tung University (Taiwan)

This study used functional near-infrared spectroscopy (fNIRS) to measure the changes in hemoglobin concentration in the prefrontal cortex lobe of 33 police officers during the mental arithmetic and verbal fluency tasks. We process the signals to extract physiologically meaningful features and build a model using the Copenhagen overwork scale score as a classification criterion. Finally, the results show a training accuracy rate of 88.9 % and a testing accuracy rate of 80.0 %, indicating significant potential in assessing overwork by combining fNIRS with machine learning.

  Preview abstract
10:15 - 10:30
Manuscript ID.  0297
Paper No.  2022-SUN-S0605-O004
Thi-Thu-Hien Pham Detection of colorectal cancer by polarized light system with CCD camera
Thao-Vi Nguyen, The-Hiep Nguyen, Vietnam National University HCMC (Viet Nam); Thanh-Hai Le, HCMC University of Technology (HCMUT) (Viet Nam); Ngoc-Bich Le, Vietnam National University HCMC (Viet Nam); Quoc-Hung Phan, National United University (Taiwan); Thi-Thu-Hien Pham, Vietnam National University HCMC (Viet Nam)

The polarimetric imaging system has been developed recently for many biological applications, such as tissue morphological characterization or cancer detection. This study applied the non-invasive nature of polarized light to evaluate at the polarization characteristics of two groups including healthy and malignant colorectal tissues. The experimental results showed that the normal tissues have more isotropic media features than malignancy. Moreover, the average intensity of almost all Mueller matrix components is much greater in malignant samples than in ones of normal samples. Overall, the proposed approach give a potential identification of colorectal malignant tissues on quantitative or semiquantitative criteria.

  Preview abstract

S6. Biophotonics and Biomedical Imaging

Poster Session II
Sunday, Dec. 4, 2022  09:00-11:00
Room: 3F TR-A318

Manuscript ID.  0710
Paper No.  2022-SUN-P0602-P001
Guan-Yu Zhuo Contrast Enhancements in Harmonic Generation Laser Scanning Microscopy by Non-Fundamental-Order Modulations
Guan-Yu Zhuo, Institute of New Drug Development, (Taiwan); Wen-Kuei Tsai, Xi-Sin Liu, College of Photonics, (Taiwan); Hsien-Yi Wang, Department of Nephrology (Taiwan); Ming-Che Chan, College of Photonics, (Taiwan)

The signal-to-noise ratio (SNR) or the contrasts of an image is the most important parameters in laser-scanning microscopy (LSM). With a superior image contrast/SNR, LSM can be performed faster or deeper without compromising image quality. In this work, we present a new method: using the non-fundamental modulations of nonlinear signals to improve the SNR. The second-harmonic generation (SHG) images of collagen were used as the demonstration example. The contrast was enhanced up to 2.5 times in the series of comparison experiments.

  Preview abstract

Manuscript ID.  0730
Paper No.  2022-SUN-P0602-P002
Xue-Shun Li Three-dimensional bio-imaging through a perfect absorber with different resonance modes and detection lengths
Tsung-Yu Huang, Xue-Shun Li, Ming Chi University of Technology (Taiwan)

Conventional optical microscopy requires labelling dyes to see organelles of a cell, but these dyes are detrimental to cells. Therefore, the researchers used a metamaterial array with a Fourier transform infrared microscope equipped with a focal plane array to image a cell. However, such imaging technique can only map two-dimensional images, losing resolution in the third dimension. To obtain 3-dimensional cell images, we designed a metamaterial perfect absorber with three resonance modes, where different modes have different detection depths, i.e., 251, 276 and 521 nm, thus approaching to 3D cell imaging with a z-axis resolution of 25 nm.

  Preview abstract

Manuscript ID.  0267
Paper No.  2022-SUN-P0602-P003
Yu-Hsuan Lin Diffuse optical Imaging using simultaneous multi-frequency driving light source and flexible optical channels
Hao-Che Chang, Yu-Hsuan Lin, Min-Chun Pan, National Central University (Taiwan)

In this study, the experiments of simultaneous multi-frequency and single-frequency wave-driven light sources were carried out on cylindrical phantoms with imitating breast optical coefficients, and compared the differences of reconstructed images driven by the two light sources. The results exhibit that the reconstructed image of the simultaneous multi-frequency measurement can detect the position of the inclusion and distinguish its size, and the reconstruction result is better than the single-frequency reconstruction result because of more optical information.

  Preview abstract

Manuscript ID.  0773
Paper No.  2022-SUN-P0602-P004
Yu-Hsin Chia Deep learning based single shot optical sectioning imaging system
Yu-Hsin Chia, Sunil Vyas, National Taiwan University (Taiwan); Yi-You Huang, National Taiwan University (Taiwan), National Taiwan University Hospital (Taiwan); Yuan Luo, National Taiwan University (Taiwan)

We present a deep learning based single shot optical sectioning imaging system, which utilizes the CNN based U-net model to obtain the HiLo optical sectioning images. It can reduce the acquisition time of sectioning images.

  Preview abstract

Manuscript ID.  0428
Paper No.  2022-SUN-P0602-P005
Tzyy-Wei Fu Development of diffuse reflectance spectroscopy system for clinical measurement of adult bilirubin concentration
Tzyy-Wei Fu, Bing-Hsuan Sung, Sheng-Hao Tseng, National Cheng Kung University (Taiwan)

Concentration of bilirubin is an important indicator for healthcare professionals performing the diagnosis of hepatitis or common bile duct stone. In this study, we constructed a non-invasive spatially resolved diffuse reflectance spectroscopy (SRDRS) measurement system and the novel spectral analysis algorithm to calculate the bilirubin level of adults. We recruited 42 patients who required bilirubin tests in the internal medicine department of National Cheng Kung University Hospital. We used linear regression analysis and Bland-Altman Plot to compare hospital lab bilirubin level with optically derived bilirubin level and concluded that our system can be used to accurately determine adult bilirubin concentration.

  Preview abstract

Manuscript ID.  0833
Paper No.  2022-SUN-P0602-P006
Ying-Ju Tsai Electric field Monte Carlo simulation of Bessel beam propagation in turbid media
Ying-Ju Tsai, Graduate Institute of Biomedical Electronics and Bioinformatics (Taiwan); Sunil Vyas, Institute of Medical Device and Imaging (Taiwan); Kung-Bin Sung, Graduate Institute of Biomedical Electronics and Bioinformatics (Taiwan), Molecular Imaging Center (Taiwan); Yuan Luo, Institute of Medical Device and Imaging (Taiwan), YongLin Institute of Health (Taiwan)

Electric field Monte Carlo method can be used to include the phase and polarization state information of complex light in turbid media. In this paper, based on EMC framework we investigate the propagation property of Bessel beam over the penetration depth in turbid medium for biomedical applications.

  Preview abstract

Manuscript ID.  0838
Paper No.  2022-SUN-P0602-P007
Hao-Pin Chiu Real-time Image Acquisition and Storage GUI for Quantitative Differential Phase Contrast Microscope
Hao-Pin Chiu, Yi-You Huang, Yuan Luo, National Taiwan University (Taiwan)

An automatic control program and an easy-to-use GUI have been developed for the quantitative differentia phase contrast microscope (QDPC). The software has the functionality of real-time control of pupil graphics, image capture, and automatic storage of pictures. Our software is user-friendly and easy to implement with a GUI interface to speed up the imaging process. The real-time automatic image control and storage will help to improve overall imaging performance. Moreover, the system could be applied to other microscopy processes with the same benefits.

  Preview abstract

Manuscript ID.  0137
Paper No.  2022-SUN-P0602-P008
Xin-Sheng Lin Realization of the Reflective Type Photoplethysmography using Commercial Biosensor
Xin-Sheng Lin, Shang-Ping Ying, Minghsin University of Science and Technology (Taiwan)

Owing to the non-invasive nature and cost-effectiveness, photoplethysmogram (PPG) is an optical technique widely used in physiological measurement. It has widespread clinical application for evaluating cardiovascular health and detecting diseases. However, signal processing is a key step in using PPG to obtain physiological measurements. The reflective type PPG based on a conventional biosensor is investigated in this study. With the red light, IR light and photodiode in the chosen biosensor SFH7072,the reflective type PPG including its acquired waveform, representative noise, pre-filtering technology, feature extraction technology, and post-processing technology is investigated to achieve practical reflective type PPG used in wearable devices.

  Preview abstract

Manuscript ID.  0642
Paper No.  2022-SUN-P0602-P009
Yuan-Wei Chen Using Surface Plasmon Resonance to monitor the combination between exosome and antibody
Yuan-Wei Chen, National Yang Ming Chiao Tung University (Taiwan), Academia Sinica (Taiwan)

We use surface plasmon resonance imaging to monitor the activity between exosome and antibody on gold-coated nanostructures. There are antigens, named EP-CAM, on the surface of exosome. When exosome begins to combine with the anti-EPCAM antibody on the gold-coated nanostructure, the peak wavelength of the spectrum changes. Therefore, we can know the activities between the exosome and antibody by the peak wavelength change of the spectrum.

  Preview abstract

Manuscript ID.  0808
Paper No.  2022-SUN-P0602-P010
Hsuan-Lung Chuang Radial Scanning Endoscopic Spectral Domain Optical Coherence Tomography
Hsuan-Lung Chuang, Kuang-Yuh Huang, Yuan Luo, National Taiwan University (Taiwan)

In this work, a spectral domain optical coherence tomography radial scanning endoscope is proposed, which uses a light source of 880 nm ± 70 nm. It has the characteristics of high resolution and a long detection depth. Our piezo actuated radial scanning endoscope, can enter the organs in the human body for high speed 3D image construction. It can be used in biomedical as well as industrial detection and inspection work.

  Preview abstract

Manuscript ID.  0874
Paper No.  2022-SUN-P0602-P011
Tse-Fu Chang Optical Simulation on Human Skin Reflectance
Tse-Fu Chang, Tsung-Hsun Yang, Yeh-Wei Yu, Ching-Cherng Sun, National Central University (Taiwan)

We have established an optical model for the spectral reflectance of human skin with five-layer tissues. As using the simulation programs containing the ray-tracing and the light scattering, the spectral reflectance can be accurately evaluated in a simple and quick calculation. The comparison between the simulation results and the measured data is also presented to verify the proposed optical model.

  Preview abstract

Manuscript ID.  0939
Paper No.  2022-SUN-P0602-P012
Yung-Sheng Wang The Enhancement of Fourier Domain Optical Coherence Tomography Image via Pix2Pix GAN Technique
Yung-Sheng Wang, Yuan-Ting Chiu, Chun-Ming Huang, Hsu-Chih Cheng, National Formosa University (Taiwan)

Optical Coherence Tomography (OCT) is a non-invasive optical imaging technique.
It has been applied to many biomedical imaging problems. However, it is not every scan in
clear sample information. In this article, we use Pix2Pix Generative Adversarial Network
(GAN) to enhance OCT image quality. After using Pix2Pix GAN to train and verify a large
number of source images and clear target images, a blur OCT image can be transferred into a
clear OCT image by the trained Pix2Pix GAN model.

  Preview abstract