Session Index

Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging I
Thursday, Dec. 3, 2020  13:15-14:45
Presider: Prof. Sheng-Hao Tseng
Prof. Chia-Wei Sun
Room: 6AB Room 526
13:15 - 13:30 Manuscript ID.  0045
Paper No.  2020-THU-S0601-O001
Meng-Shan Wu
Award Candidate
Development of a catheter based optical coherence tomography system for the early detection of cervical precancerous lesions
Meng-Shan Wu;Yi-Chun Wu;Ting-Yen Tsai;Ching-Yu Wang;Chuan-Bor Chueh;Ting-Hao Chen;You-Nan Tsai;Meng-Tsan Tsai;Chun-Chieh Wang;Hsiang-Chieh Lee

In this study, we have developed a catheter-based OCT system allowing volumetric imaging of the cervix. The rotary junction and catheter are custom-designed to tailor the aforementioned biomedical applications. Preliminary imaging results of the human fingertip were shown to demonstrate the imaging capability of the developed imaging system.

13:30 - 13:45 Manuscript ID.  0051
Paper No.  2020-THU-S0601-O002
Yi-Chun Wu
Award Candidate
Comparison of vascular image quality with different sweep rate laser light source based on variable interscan time analysis in optical coherence tomography angiography skin imaging
Yi-Chun Wu;Ting-Hao Chen;Ting-Yen Tsai;Chuan-Bor Chueh;Yin-Peng Huang;Meng-Tsan Tsai;Yoshiaki Yasuno;Hsiang-Chieh Lee

We have developed a swept-source OCT system using two 1060 nm wavelength-swept lasers with a sweep rate of 100,000 and 200,000 A-scans/sec to reconstruct optical coherence tomography angiography (OCTA) images. Preliminary results of the OCTA images of the mouse ear skin are presented in this paper.

13:45 - 14:00 Manuscript ID.  0057
Paper No.  2020-THU-S0601-O003
Chen-Yu Hung
Award Candidate
Snail-regulated biomechanical properties of head and neck squamous cell carcinoma cells prompt cancer metastasis
Chen-Yu Hung;Han-Ying Cheng;Jean-Cheng Kuo;Ming-Tzo Wei;Muh-Hwa Yang;Arthur Chiou;Yin-Quan Chen

We show that the epithelial-mesenchymal transition (EMT) factor, Snail, promotes the invasion capability of head and neck squamous cell carcinoma (HNSCC) cells by increasing cell traction forces and decreasing the nuclear stiffness, associated with the increment of cell focal adhesion and decrement of lamin B1 expression.

14:00 - 14:15 Manuscript ID.  0122
Paper No.  2020-THU-S0601-O004
Te-Hsin Chen
Award Candidate
Wide-field Interferometric Photothermal Microscopy for Quantitative Absorption Imaging
Te-Hsin Chen;Yu-Chien Huang;Jz-Yuan Juo;Shi-Wei Chu;Chia-Lung Hsieh

Light absorption is common in biological specimens which potentially serves as a unique contrast mechanism for microscope imaging especially when detecting non-fluorescent targets. We present a wide-field photothermal imaging technique that measures the local heat through interference and demonstrate absorption imaging of single metallic nanoparticles, as small as 5 nm.

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14:15 - 14:30 Manuscript ID.  0230
Paper No.  2020-THU-S0601-O005
Diannata Rahman Yuliansyah
Award Candidate
Deep Learning Approach for NIR Optical Tomography
Diannata Rahman Yuliansyah;Min-Chun Pan;Nazish Murad

We develop a deep learning algorithm as an alternative to the existing Tikhonov regularization, relying on the idea of sensor-domain to image-domain transformation. U-net with skip connections is used to extract the features and obtain the contrast image. The output is obtained by multiplying contrast images with the background coefficients.

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14:30 - 14:45 Manuscript ID.  0496
Paper No.  2020-THU-S0601-O006
Benedictus Yohanes Bagus Widhianto
Award Candidate
Bidirectional Feedback Broadband Coupler for OCT On-Chip Based Interferometer
Benedictus Yohanes Bagus Widhianto;Shih-Hsiang Hsu

The performance of interferometer for optical coherence tomography (OCT) such as flatness and broadband are important to maintain the axial resolution and sensitivity. We develop a broadband coupler using numerical optimization to obtain a broadband flat response with more than 180 nm bandwidth from a transmission and multiple reflection.


Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging II
Thursday, Dec. 3, 2020  16:20-17:50
Presider: Prof. Meng-Tsan Tsai
Prof. Kung-Bin Sung
Room: 6AB Room 526
16:20 - 16:35 Manuscript ID.  0063
Paper No.  2020-THU-S0602-O001
Chuan-Bor Chueh
Award Candidate
Multi-Scale Wide Field-of-View Optical Coherence Microscopy with 1.7-μm Swept Source Laser
Chuan-Bor Chueh;Ching-Yu Wang;Huai-Jen Liu;Ting-Yen Tsai;Teng-Chieh Chang;Ting-Hao Chen;Yin-Peng Huang;Yi-Ping Hung;Hsiang-Chieh Lee

We have developed a multi-scale long-wavelength optical coherence microscopy imaging system allowing three-dimensional imaging of biological tissue. Besides, we demonstrated the ability of our self-developed automatic mosaic stitching algorithm.

16:35 - 16:50 Manuscript ID.  0435
Paper No.  2020-THU-S0602-O002
Chong_Wei Kao
Award Candidate
Automatic Retinal Layer Segmentation in OCT Images Based on Deep Learning
Chong_Wei Kao;Chieh-En Lee;Jin-Shing Tseng;Chu-Ming Cheng;Chung-Hao Tien

Precise retinal layer segmentation in optical coherence tomography (OCT) helps early clinical diagnosis of some diseases. In this work, we established a segmentation algorithm for the retinal layer boundaries based on deep learning. Our method successfully segments three retinal layers with acceptable errors compared to traditional methods.

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16:50 - 17:05 Manuscript ID.  0374
Paper No.  2020-THU-S0602-O003
Ying-Ting Huang
Label-free Histopathology of Alzheimer’s Disease Human Brain by Harmonic Generation Microscopy
Ying-Ting Huang;Sandeep Chakraborty;Sung-Tsang Hsieh;Ming-Jang Chiu;Hwan-Ching Tai;Chi-Kuang Sun

Here, we demonstrated a label-free, sub-micron multi-harmonic generation microscopy to elucidate the histopathological hallmarks of Alzheimer’s disease human brain ex vivo. Our harmonic generation microscopy has shown the capability to differentiate simultaneously structures of brain viz. axons, soma along with AD pathological hallmarks: Aβ-plaques and neurofibrillary tangles.

17:05 - 17:20 Manuscript ID.  0429
Paper No.  2020-THU-S0602-O004
Hsiao-Chieh Tseng
Human Intra-epidermal Nerve Fiber Imaging using Stain-free Trauma-free in vivo Harmonic Generation Microscopy
Hsiao-Chieh Tseng;Pei-Jhe Wu;Chi-Kuang Sun;Yi-Hua Liao

Diabetic neuropathy is diagnosed by skin biopsy to quantify intra-epidermal nerve fiber. Our recent study indicated the capability of third-harmonic-generation microscopy (THGM) to image intra-epidermal free-nerve endings. In this study, we successfully apply the stain-free trauma-free THGM to in vivo evaluate epidermal innervation by quantifying the number of nerve fibers.

17:20 - 17:35 Manuscript ID.  0709
Paper No.  2020-THU-S0602-O005
Chi-Hao Luo
Optically sectioned mechanical-scan-free endomicroscopy with hybrid illumination
Chi-Hao Luo;Haw Hsiao;Yuan Luo;Kuang-yuh Huang

Optical sectioning in our system is achieved by HiLo imaging technique. High speed hybrid illumination for background elimination is generated by a digital micro-mirror device (DMD),with electrically tunable lens (ETL) as a mechanical-scan-free device. Our system offers multiple advantages, which may enable large scale dynamic imaging of biological tissues.

17:35 - 17:50 Manuscript ID.  0381
Paper No.  2020-THU-S0602-O006
Pei-Jhe Wu
Stain-free Imaging of Human Intra‐epidermal Free Nerve Endings by using Third Harmonic Generation Microscopy
Pei-Jhe Wu;Hsiao-Chieh Tseng;Sung-Tsang Hsieh;Yi-Hua Liao;Chi-Kuang Sun

We demonstrate the first observation of the intra‐epidermal free-nerve-endings (IFNEs) with histopathology details by third-harmonic-generation on ex vivo human skin. With the high image contrast, noninvasiveness, high resolution, high penetration of harmonic generation microscopy, we aim to label-free slide-free in vivo image IFNEs for the peripheral neuropathy diagnosis.


Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging S
Friday, Dec. 4, 2020  13:10-15:40
Presider: Prof. Fu-Jen Kao
Room: 6AB Room 526
13:10 - 13:40 Manuscript ID.  0807
Paper No.  2020-FRI-L0603-I001
Invited Speaker:
Bi-Chang Chen

Advantages of Bessel beam in optogenetic manipulation at the subcellular scale
Wei-Chun Tang;Peilin Chen;Bi-Chang Chen

The advantages of the lattice light-sheet microscopy in controlling the light field are applied in optogenetics. It can be obtained that the Bessel beam reflects different optogenetic response areas under different parameters. The Final we can produce two independent membrane ruffling reactions in the same cell at the subcellular scale.

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13:40 - 13:55 Manuscript ID.  0619
Paper No.  2020-FRI-L0603-O001
Nai-Jen Cheng
Mask edge detection for 1D scanning projected fringe profilometry
Nai-Jen Cheng

The mask edge detection algorithms using Sobel, Prewitt, and Canny operation are performed for the one-dimensional scanning projected fringe profilometry. The optimized mask detection algorithm helps to identify the amplitude of the projected fringes, to build the amplitude of the in-focus image and the 3-D profile of the inspected object.

13:55 - 14:10 Manuscript ID.  0552
Paper No.  2020-FRI-L0603-O002
Jonathon David White
Dynamic 24 Hour Indirect Lighting for Elder Care
Aien Charity-Grace White;Bao Le;Gulsatar Ali;Anushiya Marimuthu;Nafia Al-Mutawaly;Yeh-Liang Hsu;Jonathon David White

Pharmaceutical approaches to treat dementia related sleep disorders have failed. Light therapy alone shows promise. A 24-hour dynamic lighting system with IoT control and validation has been developed and is undergoing final reliability testing. Upon final IRB approval, patient recruitment will begin.

14:10 - 14:25 Manuscript ID.  0663
Paper No.  2020-FRI-L0603-O003
Shih-Hsiang Hsu
Surface Plasma Resonance Biosensing through High Coherence Laser Source
Hsiao-Yen Lu;Yang-Min Chang;Benedictus Yohanes Bagus Widhianto;Cheng-Lun Lu;Ming-Wei Lai;M.-S. Jian;Shih-Hsiang Hsu

The surface plasma resonance (SPR) phase sensitivity is proposed to utilize two Mach–Zehnder interferometers in parallel, a laser source to detect SPR effect and broadband source as a reference point, to gauge interferogram displacements. The displacement variation of different miR-21 concentrations demonstrates the sensitivity as 0.47 rad/μM.

14:25 - 14:40 Manuscript ID.  0259
Paper No.  2020-FRI-L0603-O004
Sheng-Hao Tseng
Development of handheld diffuse reflectance spectroscopy system for noninvasive neonatal jaundice monitoring
Shih-Yu Tzeng;Chun-Yen Kuo;Ming-Chien Fang;Nan-Yu Cheng;Chun-Ming Chang;Shih-Jie Chou;Sheng-Hao Tseng

Neonatal jaundice is a common condition in Asian neonates, and the existing transcutaneous bilirubin meters are not reliable enough because of inaccurate empirical models. We have developed a handheld diffuse reflectance spectroscopy system with an advanced model. The performance of our handheld system was successfully validated with a phantom study.

14:40 - 14:55 Manuscript ID.  0547
Paper No.  2020-FRI-L0603-O005
Chien Yuan Han
Development and Implementation of a Multifocal plane Mueller Matrix Microscope
Jing Heng Chen;Ting Chih Wu;Chien Yuan Han

We have developed a polarimetric imaging system to obtain full Mueller matrix images within ten-odd seconds. In this work, a specially designed diffractive multifocus grating was installed in the Mueller matrix imaging system to extend the system with three-dimensional imaging ability of the full polarization characteristics.

14:55 - 15:10 Manuscript ID.  0798
Paper No.  2020-FRI-L0603-O006
Yuan Luo
Spatial-Spectral Holographic Imaging
Sunil Vyas;Yuan Luo

Acquiring high-dimensional (HD) optical information in real-time is a challenging task. Spatial-spectral filtering properties of the volume holographic grating offers unique advantages for obtaining simultaneous multidimensional information without transverse or axial scanning. Here, we discuss the state-of-the-art volume holographic microscope and endoscope system for label-free as well as fluorescence imaging.

15:10 - 15:40 Manuscript ID.  0836
Paper No.  2020-FRI-L0603-I002
Invited Speaker:
Hao-Chung Kuo

Recent progress of microLED display and visible light communication
Yu-Ming Huang;Konthoujam James Singh;An-Chen Liu;Fang-Jyun Liou;Hao-Chung Kuo

We developed (20-21) semipolar micro light-emitting diodes (-LEDs) as RGB pixel display with quantum dots photoresist (QDPR) and Visible Light Communication (VLC) application.


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
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
Award Candidate
Noninvasive inspection for Laser Material Processing with Multiphoton-excited fluorescence microscopy

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

  Preview abstract
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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Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging III
Saturday, Dec. 5, 2020  10:30-12:30
Presider: Prof. Yuan Luo
Prof. Jian-Zonh Jeng
Room: 6AB Room 526
10:30 - 10:45 Manuscript ID.  0222
Paper No.  2020-SAT-S0603-O001
Yu-Sheng Chi
Assisted Diagnosis of Esophageal Cancer with Hyperspectral Imaging and Convolutional Neural Network
Yu-Sheng Chi;I-Chen Wu;Yao-Kuang Wang;Tsung-Yu Yang;Hsiang-Chen Wang

Two kinds of data: white-light (WLI), narrow-band (NBI) spectrum data from their endoscopic images, can be divided into four categories, Normal, Dysplasia, Dysplasia-ECA and ECA. Then, trained through the Single Shot Multibox Detector (SSD) with convolutional neural network (CNN). The precisions corresponding to stages are 85%, 84%, 88%, and 92%.

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10:45 - 11:00 Manuscript ID.  0605
Paper No.  2020-SAT-S0603-O002
Chi-Hao Luo
Multi-depth imaging by SAX microscopy
Chi-Hao Luo;Kuang-Yuh Huang;Yuan Luo

Saturated excitation microscopy (SAX) can provide high spatial resolution images with the help of higher order harmonic frequencies. However, obtaining images at different depth is a challenging task. Here, we show multi-depth imaging in SAX microscope using tunable focusing lens without moving samples or microscope objective.

11:00 - 11:15 Manuscript ID.  0776
Paper No.  2020-SAT-S0603-O003
Sandeep Chakraborty
High-Speed, GRIN-lens Based, Two-Photon Fluorescence Microendoscope for Deep Brain Functional Imaging
Sandeep Chakraborty;Han-Wee Chong;Jieh-Sheng Hsu;Po-Ting Yeh;Shih-Kuo Chen;Ming-Jang Chiu;Chi-Kuang Sun

In this study, we have developed a high-resolution two-photon fluorescence microendoscope, based on GRIN lens, to observe longitudinally the neuronal activity in the deep brain of awake mice. Furthermore, with ultrahigh 2 kHz frame acquisitions, the neuronal activity of diseased brain vs. normal brain can be easily differentiated.

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11:15 - 11:30 Manuscript ID.  0600
Paper No.  2020-SAT-S0603-O004
Hua-Wei Ku
Image Denoising of Temporal Focusing Multiphoton Microscopy via Cascade 3D Deep Learning
Hua-Wei Ku;Xin-Ni Huang;Feng-Chun Hsu;Yvonne Yuling Hu;Chun-Yu Lin;Hsueh-Cheng Chiang;Shean-Jen Chen

Temporal focusing multiphoton excitation microscopy is potential to provide fast bio-imaging. Its surpassing acquisition rate is better than extensively used two-photon excitation microscopy, but the scattering phenomenon induces much high noise. To improve image quality, we induce deep learning method and present cascade 3D U-Net to realize high-speed 3D imaging.

11:30 - 11:45 Manuscript ID.  0244
Paper No.  2020-SAT-S0603-O005
An examination of Malignant Pleural Effusion by Hyperspectral Imaging Technology

Pleural fluid cytology serves as useful information in diagnostic lung cancer. In this study, we propose a model for analyzing pleural effusion cytology images based on hyperspectral imaging technology. The different hyperspectral spectra features are studied. We expect the proposed method could assist doctors in detecting lung cancer rapidly.

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11:45 - 12:00 Manuscript ID.  0585
Paper No.  2020-SAT-S0603-O006
To Improve the Axial Resolution of Rapid Volumetric Multiphoton Microscopy via 3D U-Net
CHI-YU WANG;Chia-Wei Hsu;Chun-Yu Lin;Shean-Jen Chen

In this study, we use a 3D U-Net to improve the axial resolution of rapid volumetric multiphoton microscopy without reducing volume rate. Currently, 30 volume rates can be kept with high image quality.


Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging IV
Saturday, Dec. 5, 2020  10:30-12:30
Presider: Prof. Szu-Yu Chen
Prof. Chien-Ming Chen
Room: 6AB Room 727
10:30 - 11:00 Manuscript ID.  0825
Paper No.  2020-SAT-S0604-I001
Invited Speaker:
Yoshiaki Yasuno

Multi-Functional Optical Coherence Microscopy: Microscope with Interferometry and Computation
Yoshiaki Yasuno

An overview of recent progress of the author’s multi-contrast optical coherence microscopy (OCM) is presented. This OCM is based on holographic signal processing, time signal analysis, and Jones matrix imaging. The technical details of each technology and applications for in vitro tissue imaging are shown.

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11:00 - 11:30 Manuscript ID.  0815
Paper No.  2020-SAT-S0604-I002
Invited Speaker:
Keisuke Goda

Intelligent Image-Activated Cell Sorter 2.0
Keisuke Goda

I introduce the Intelligent Image-Activated Cell Sorter 2.0, a technology that performs deep-learning-assisted image-based sorting of single live cells from large heterogeneous cell populations on a microfluidic chip with a high throughput of >2000 cells/s, enabling a new class of biomedical applications.

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11:30 - 11:45 Manuscript ID.  0752
Paper No.  2020-SAT-S0604-O001
Fang-Yuan Huang
Analyze the results of image classifier trained on images before and after conversion via deep learning
Fang-Yuan Huang;Sheng-Lung Huang;Snow H. Tseng

A pre-train image conversion scheme is adapted into an image classifier network of skin cancers. The network is separately trained on both OCT images before and after conversion into H&E-liked images. We compared the training results to anaylize factors which influenced the accuracy and discovered some insight of deep learning.

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11:45 - 12:00 Manuscript ID.  0088
Paper No.  2020-SAT-S0604-O002
Pei-Lin Chou
Analyzing the feasibility to suppress scattering effect in turbid media via partial optical phase conjugation
Pei-Lin Chou;Snow H. Tseng

Utilizing pseudospectral time-domain (PSTD) simulation technique, we model the phenomenon of optical phase conjugation (OPC). Specifically, we investigate the feasibility to focus light with imprecise OPC information. Research findings may provide essential information to determine the contribution of certain factors in focusing light in turbid media.

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Biophotonics and Biomedical Imaging

Poster Session II
Saturday, Dec. 5, 2020  10:30-12:30
Presider: Prof. Wen-Jeng Ho
Room: 6AB Courtyard
Manuscript ID.  0145
Paper No.  2020-SAT-P0602-P001
Rui Cheng Zeng
A novel deep learning approach for on-site diagnosis of lung cancer by smart optical coherence tomography
Rui Cheng Zeng;Hung Chang Liu;Miao Hui Lin;Chia Wei Sun

The purpose of this research was aimed to evaluate the performance of a novel convolutional neural network (CNN) by automatically differentiation between benign and malignant entities of lung tissues during surgery with artificial intelligence-based optical coherence tomography (OCT). According to the results, our result shows excellent visualization of OCT-captured images.

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Manuscript ID.  0180
Paper No.  2020-SAT-P0602-P002
Guan-Lin Chen
Research on Recognizing Skin Lymphoma Images Using Neural Network
Guan-Lin Chen;Wang-Teng Fan;Hsiang-Chen Wang;Yu-Ping Hsiao

Skin lymphoma is a rare skin disease. Easily misjudged as the more common atopic dermatitis or psoriasis. We use machine learning image recognition technology. I hope to use deep learning to achieve preliminary diagnostic capabilities, shorten the time between consultations, and quickly help patients treat illnesses.

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Manuscript ID.  0038
Paper No.  2020-SAT-P0602-P003
Ping-Wei Chung
Extracorporeal red light laser equipment of precise intramedullary nail hole positioning
Ping-Wei Chung;Yu-Chiao Sue;Wei-Chi Chen;Jau-Sheng Wang

Our photo targeting method can reduce the light scattering.We hoped that this targeting device will increase targeting accuracy, decrease operative time, and decrease the radiation from fluoroscopy.

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Manuscript ID.  0029
Paper No.  2020-SAT-P0602-P004
Yu-Cheng Lin
Lossy Mode Resonance Based Protein Biomedical Sensor with Self-heating Function
Yu-Cheng Lin;Kuan-Yen Chang;Ling-Wei Qiu;Yi-Kai Jin;Guo-Wei Yao;You-Wei Chang;Yi-Xian Wen

The lossy mode resonance sensor with a self-heating electrode to immobilize bovine serum albumin (BSA) was proposed and studied. The sensor is a planar waveguide coated with a thin film of ITO. With controlling the external voltage to generate heat through ITO, the LMR wavelength shift is more obvious.

Manuscript ID.  0285
Paper No.  2020-SAT-P0602-P005
Ting-Wei Chiang
Evaluation of ECMO Patients’ Recovery Using Functional Near-Infrared Spectroscopy and Machine Learning
Ting-Wei Chiang;Yi-Chih Chen;Tzu-Hsin Fan;Chia-Wei Sun

Extracorporeal membrane oxygenation (ECMO) is a lifesaving rescue treatment in refractory respiratory or cardiac failure. However, no guidelines or reliable clinical parameters are available for adjusting ECMO treatment in terms of machine settings. Therefore, this study applied near-infrared spectroscopy (NIRS) to observe these patients' global circulatory status.

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Manuscript ID.  0726
Paper No.  2020-SAT-P0602-P006
Ting-Ming Huang
Application of Light Tubes to Powering Implantable Retinal Prostheses
Ting-Ming Huang;Fong-Zhi Chen;Chin-Fong Chiu;Chung-Yu Wu

Implantable retinal prostheses are now regarded as solutions to those who lose their vision due to retinitis Pigmentosa. To supply power to these prostheses, infrared light is illuminated to the photovoltaic cell inside them. Light Tubes are applied to guide the light. Results and discussion are presented.

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Manuscript ID.  0184
Paper No.  2020-SAT-P0602-P007
yu yang Chen
Intelligent Identification of Few-layers MoS2
yu yang Chen;Kai Chun Li;Hsiang Chen Wang

The large-area characterization, precision, intelligent automation, and high-efficiency detection of nanostructures for 2D materials have not yet reached an industrial level. We propose deep neural network, one-dimensional (1D) convolutional neural network to explore the correlation between the accuracy of model recognition and the optical characteristics of few-layers MoS2.

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Manuscript ID.  0249
Paper No.  2020-SAT-P0602-P008
Pei-Jung Wu
The optimal lighting in the office space for employees’ comfort
Pei-Jung Wu;Ching-Ju Chou;Chien-Yu Chen;Hsing-Yu Hou;Chih-Teng Chen

Healthy work lighting is primary for indoor workers nowadays. An office lighting design system conforming to users’ comfort is therefore proposed in this study. For conforming the comfort, electroencephalogram (EEG) and heart rate variability (HRV) are regarded as the physiological parameters for objective evaluation, and questionnaire is the subjective evaluation.

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Manuscript ID.  0431
Paper No.  2020-SAT-P0602-P009
Bo-Wei Lai
Blood Vessel Near-Infrared Image Reconstruction by Learning a Deep Residual Network
Bo-Wei Lai;Yi-feng Liu;Ying-Sheng Lin;Hsi-Chao Chen;Yu-Fung Lin;Ting-Yu Hsu;Ting-Hsuan Chen

The research developed a SWIRCNN architectures to reconstruct the human blood vessel of near-infrared image. The SWIRCNN was based on a de-noising convolutional neural network (DnCNN), which was used residual neural network (ResNet), and the SWIRCNN
network can remove the periodic noise from 19.1 dB to 26.4 dB.

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