Session Index

S6. Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging IV
Saturday, Dec. 2, 2023  13:00-15:00
Presider: Prof. Sheng-Lung Huang (National Taiwan University, Taiwan) Prof. Shih-Hsuan Chia (National Yang Ming Chiao Tung University, Taiwan)
Room: 92271 (2F)
13:00 - 13:30
Manuscript ID.  0644
Paper No.  2023-SAT-S0604-I001
Invited Speaker:
Chang-Seok Kim
Biomedical 3D imaging with novel wavelength-tunable fiber laser sources
Chang-Seok Kim, Pusan National University (Korea)

Recently various swept sources have achieved commercial success for the biomedical applications such as optical coherence tomography and photo acoustic tomography, but there has been a limitation for increasing repetition speed and phase stability. Achieving both ultra-high-speed (multi-MHz repetition rates) and ultra-phase stability (sub-nm) simultaneously has been reported based on the stretched-pulse active mode locking (SPML) configuration The long and continuous chirped pulse with a broad spectral bandwidth is achieved through the repeated stretching, amplification, and compression of the optical pulse in the SPML laser cavity.

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13:30 - 13:45
Manuscript ID.  0266
Paper No.  2023-SAT-S0604-O001
Kamlesh Awasthi Fluorescence Lifetime Imaging Microscopic Approach for Detection of Intracellular Functional and Nanosecond Pulsed Electric Field-Induced Changes in Cancerous Cells
Kamlesh Awasthi, Nobuhiro Ohta, Institute of Molecular Science, National Yang Ming Chiao Tung University (Taiwan), Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University (Taiwan)

Fluorescence lifetime imaging microscopy of exogenous fluorophore of calcium (Ca2+) sensor Oregon Green 488 BAPTA-1 (OGB) and endogenous fluorescent coenzymes nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD) has been used to differentiate the calcium signaling and metabolic changes in cancerous and normal cells, and the effects of the application of the nanosecond pulsed electric field (nsPEF) on intracellular functions and dynamics, including the cell death, have been examined. FLIM of OGB, NADH, and FAD has revealed that the concentration and distribution of Ca2+ and metabolic processes and their responses to nsPEF are different in cancerous and normal cells

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13:45 - 14:00
Manuscript ID.  0681
Paper No.  2023-SAT-S0604-O002
Guan-Yu Zhuo Cartilage-related diseases diagnosed by polarization-resolved second harmonic generation microscopy
Ming-Chi Chen, Wei-Hsun Wang, China Medical University (Taiwan); Nirmal Mazumder, Manipal School of Life Sciences, Manipal Academy of Higher Education (India); Guan-Yu Zhuo, China Medical University (Taiwan)

We present the use of polarization-resolved second harmonic generation (P-SHG) microscopy as an effective tool for diagnosing osteoarthritis (OA) and rheumatoid arthritis (RA), which is crucial to enhance the contrast in distinguishing between normal tissue and OA and RA, as well as OA and RA. The derived parameters, such as the susceptibility tensor ratio, degree of linear polarization (DOLP), SHG anisotropy factor, and orientation distribution of collagen fibrils, can be used for diseased tissue classifications. Importantly, the results support a clear understanding of the degradation process of collagen fibrils in cartilage.

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14:00 - 14:15
Manuscript ID.  0556
Paper No.  2023-SAT-S0604-O003
Yu-Ting Chou Monte Carlo Simulation of the Photoplethysmogram Waveform Effect in Human Skin Tissue and Its Dependency on the Distance Between Detector and Light Source
Yu-Ting Chou, Guo-Dung Su, National Taiwan University (Taiwan)

In this study, we simulate the behavior of photons in skin tissues using the Monte Carlo Method to obtain the Photoplethysmography (PPG) waveform. These simulations give us comprehensive insights into how tissue structure influences the PPG waveform and determine the optimal distance between the detector and light source, which is approximately 0.4 cm in our simulation results.

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14:15 - 14:30
Manuscript ID.  0563
Paper No.  2023-SAT-S0604-O004
Nirmal Mazumder Polarization Resolved Second Harmonic Generation (SHG) Microscopy for investigating Gamma-irradiated Starch Granules
Indira Govindaraju, Ishita Chakraborty, Sindhoora Kaniyala Melanthota, Manipal Academy of Higher Education (India); Guan-Yu Zhuo, China Medical University (Taiwan); Sib Sankar Mal, National Institute of Technology Karnataka (India); Bhaswati Sarmah, Assam Agricultural University (India); Vishwa Jyoti Baruah, Dibrugarh University (India); Krishna Kishore Mahato, Nirmal Mazumder, Manipal Academy of Higher Education (India)

Starch is one of the most abundantly found carbohydrates in cereals, roots, legumes, and fruits and is located in the amyloplasts of plants. The amorphous amylose and crystalline amylopectin regions in starch granules are susceptible to certain physical modifications, such as gamma irradiation. P-SHG microscopy in conjunction with SHG-circular dichroism was used to assess the 3D molecular order and inherent chirality of starch granules and their reaction to different dosages of gamma irradiation. The results showed that changes in the structure and orientation of long-chain amylopectin were supported by the decrease in the SHG anisotropy factor and the χ22/χ16 ratio.

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14:30 - 14:45
Manuscript ID.  1022
Paper No.  2023-SAT-S0604-O005
Jyun-Ping Kao Deep-Learning-Enabled Third-Harmonic-Generation Imaging for Skin Virtual Biopsy from Reflectance Scanning Microscope
Jyun-Ping Kao, Xin Lin, You-Yang Zhang, National Yang Ming Chiao Tung University (Taiwan); Connie Liu, National Yang Ming Chiao Tung University (Taiwan), Taipei City Hospital (Taiwan); Shih-Hsuan Chia, National Yang Ming Chiao Tung University (Taiwan)

Third-harmonic-generation (THG) imaging, offering sub-cellular resolution and sub-millimeter penetration depth, holds great promise for skin virtual biopsy. However, its conventional implementation necessitates expensive components like femtosecond fiber lasers and high-numerical-aperture objective lenses. In this study, we harnessed deep learning to create THG-like images. We developed a three-dimensional conditional generative adversarial network model capable of generating THG-like images from reflectance scanning microscope data. Applying this model to human skin samples demonstrated its efficacy. This innovative approach offers a cost-effective means to leverage the benefits of THG imaging for non-invasive skin analysis, potentially revolutionizing virtual biopsies.

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14:45 - 15:00
Manuscript ID.  0701
Paper No.  2023-SAT-S0604-O006
Clara Lavita Angelina Attention-UW Net for Segmentation of Time-Lapse Cell Images
Clara Lavita Angelina, National Yunlin University of Science and Technology (Taiwan); Sunil Vyas, Fu-Ren Xiao, Yuan Luo, National Taiwan University (Taiwan); Hsuan-Ting Chang, National Yunlin University of Science and Technology (Taiwan)

Utilizing an intermediate layer, the Attention-UW Net model improves segmentation efficiency between encoders and decoders. We demonstrate its effectiveness in segmenting time-lapse cell images from an electron microscopy dataset, achieving high evaluation scores (precision: 0.97, recall: 0.76, F1 Score: 0.82) even without data augmentation.

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