Session Index

Biophotonics and Biomedical Imaging

Poster Session I
Friday, Dec. 3, 2021  14:00-16:00
Room: Corridor
Award Candidate (Paper Competition)
Manuscript ID.  0390
Paper No.  2021-FRI-P0601-P001
Guan-Hua Lai Development of hand-held optical system for in-vivo quantification of human total hemoglobin concentration
Guan-Hua Lai;Sheng-Hao Tseng

Concentration of hemoglobin is an index for healthcare. Complete Blood Count (CBC) is the main way to calculate the concentration of hemoglobin in hospitals. However, there are some disadvantages, such as time consuming, pain and infection. In this study, we develop a non-invasive and hand-held optical system with algorithm to calculate the concentration of hemoglobin of 24 subjects in hospital. The correlation coefficient (r) of hemoglobin between hospital lab and our device is 0.870. Bland-Altman analysis had a deviation of -0.006 g/dL with 95% of values within the limit of agreement of 1.62 g/dL to -1.62 g/dL.

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Award Candidate (Paper Competition)
Manuscript ID.  0502
Paper No.  2021-FRI-P0601-P002
Shih-Chun Jin Development of Cone-beam X-ray Luminescence Computed Tomography (CB-XLCT) Subsystem: X-ray Micro-CT Platform Simulation
Shih-Chun Jin;Yu-Hong Wang;Jyh-Cheng Chen;Snow H Tseng;Tse-Ying Liu

A virtual micro-computed tomography subsystem is simulated to validate the ability of X-ray excited luminescence tomography by a Monte-Carlo tool. When nanophosphor is irradiated by X-rays, 500-700 nm luminescent light will be excited. We implemented an AI denoiser to improve CT image quality to be used for small animal imaging.

Award Candidate (Paper Competition)
Manuscript ID.  0566
Paper No.  2021-FRI-P0601-P003
Ming-Lin Yang Study the Influence of Light and Source Configuration on the Accuracy of Reflective Pulse Oximeter in Low Perfusion Condition
Ming-Lin Yang;Cheng-Yan Yang;Chun-Yen Kuo;Sheng-Hao Tseng

Functional oxygen saturation (SaO2) is an important physiological parameter which estimate a person carries enough oxygen in blood. Pulse oximeter has been broadly used as a non-invasive diagnostic tool in many conditions, e.g., surgical procedures, anemic and injuries. However, the accuracy of pulse oximeters can be affected by many factors, such as low perfusion. This study aims at analyzing the effect of low perfusion on pulse oximeter. The results shows that the optical signal collected from longer source-detector separation (SDS) is less affected by low perfusion; in contrast, shorter SDS is well affected.

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Award Candidate (Paper Competition)
Manuscript ID.  0327
Paper No.  2021-FRI-P0601-P004
Po-Yuan Chen Deep Learning for Near-Infrared Optical Bone Densitometry
Po-Yuan Chen;Wei-Chun Chang;Tsai-Hsueh Leu;Chia-Wei Sun

This research emits near-infrared light into the human’s wrist and receives the light scattered inside the human’s body. Then we analyze the human body information that contains in it. And we use deep learning to analyze the data more deeply so that we can predict the bone density more accurately. This research uses a neural network called U-net for deep learning. After training, we compare the result with DXA to see whether the training result conforms to DXA. And use the obtain wrist bone density value to predict the bone density value of other parts of the body.

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Award Candidate (Paper Competition)
Manuscript ID.  0615
Paper No.  2021-FRI-P0601-P005
You-Nan Tsai Cellular imaging with a customized spectral-domain OCT system and an in-house developed cell incubator
You-Nan Tsai;Ting-Hao Chen;Ting-Yen Tsai;Meng-Tsan Tsai;Hsiang-Chieh Lee

We demonstrated a compact, high-speed spectral-domain optical coherence microscopy (SD-OCM) system to observe the tumor cell spheroid. Volumetric OCM images of the cell spheroid were acquired using an in-house C++ interface and used a low-cost microcontroller for triggering to synchronize the galvanometer mirror to the detector array. We designed a hermetic incubator on the microscope stage to control temperature, humidity, CO2 concentration while performing long-term OCM imaging.

Award Candidate (Paper Competition)
Manuscript ID.  0432
Paper No.  2021-FRI-P0601-P006
Nguyet Thi Anh Nguyen Nitride-based substrate for DNA microarray by SERS
Nguyet Thi Anh Nguyen;Kun-Yu Lai

The detection of human mutated DNA fragments is the key to cancer therapy. Surface-Enhanced Raman spectroscopy (SERS) is merging as a powerful tool to detect DNA molecules. However, SERS DNA biosensors are still rarely found in clinical applications due to their insufficient active area and varying signal intensities.
We use indium gallium nitride quantum wells (InGaN QWs) grown by MOCVD to address the abovementioned issues. This finally results in reliable detection of DNA hybridization events of human mutated DNA segments.
The sensitivity of our substrate is further boosted by adjusting MOCVD conditions towards the clinical SERS DNA biosensor.

Award Candidate (Paper Competition)
Manuscript ID.  0063
Paper No.  2021-FRI-P0601-P007
Dong-Yi Wang Noninvasive 3D Structure Inspection with Multiphoton-excited Fluorescence Microscopy
Dong-Yi Wang

The of biological tissue and the laser processed material structure at micrometer resolution is hard to obtain the 3D information directly by optical bright field microscope. According to the tissue and material nonlinear optical properties, the multiphoton-excited fluorescence microscopy (MPEFM) could perform noninvasive inspection by reconstructing the high-resolution 3D fluorescence images that could directly see the details in specimen.

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Award Candidate (Applied Optoelectronics Competition)
Manuscript ID.  0103
Paper No.  2021-FRI-P0601-P008
Yi-Feng Liu Deep Residual Learning Reconstructed the Periodic Noise of NIR Vessel Image
Yi-Feng Liu;Ying-Sheng Lin;Hsi-Chao Chen;Zheng-Ann Xiong;Wang-Tzu His

We use two kinds of deep learning structure to reconstruct image that reduces periodic noise in infrared image, and the two kinds of models are DNCNN, NIRCNN. By slowly decreasing the depth, the image PSNR will improve from 25.71 dB to 25.90 dB.

Award Candidate (Applied Optoelectronics Competition)
Manuscript ID.  0616
Paper No.  2021-FRI-P0601-P009
Hong-Yan Zheng Process Insensitive Broadband Coupler for Optical Coherence Tomography Application
Hong-Yan Zheng;Bo-Liang Chen;Hsiao-Yen Lu;Shih-Hsiang Hsu

The optical power divider flatness in wavelengths for chip-based optical coherence tomography (OCT) is crucial to higher signal-to-noise ratios. A Mach-Zehnder directional coupler (MZDC) structure could be utilized to smoothly maximize the splitting ratio up to 40-nm wavelengths on a silicon platform with a 0.2 micrometer of decoupler optical path difference. However, a bidirectional coupler is necessary for spectral-domain OCT. Even though a MZDC structure is insensitive to the process variation, its bidirectional wavelength response is not flat. An array waveguide grating in spectral-domain OCT is proposed for a flatness compensation to maintain the axial resolution and sensitivity.

Award Candidate (Applied Optoelectronics Competition)
Manuscript ID.  0657
Paper No.  2021-FRI-P0601-P010
Hsuan Lai Fano-resonance Biosensing through Windowed Fourier Transform
Hsuan Lai;Guan-Bo Jhao;Jia-Yi Xu;Tzu-Ning Kuo;Cheng-Lun Lu;Shih-Hsiang Hsu

The Fano-resonance biosensor is formed through the phase variation of dual microring resonators coupled Mach-Zehnder interferometers. After windowed Fourier transform interrogating two ring interferograms, the biological phase sensitivity could be effectively enhanced and theoretically demonstrate the detection limit as 10^-7 refractive index units.