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13:30 - 14:00
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Manuscript ID. 0023
Paper No. 2019-THU-S0601-I001
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Invited Speaker:
Hideharu Mikami
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Intelligent image-activated cell sorting
Hideharu Mikami
A fundamental challenge of biology is to understand the large heterogeneity of cells even with identical genomes. The differences in composition, structure, and morphology of cells are strongly linked with their physiological functions such as proliferation, metabolism, secretion, differentiation, and signal transduction and an important aspect of cell identity.
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14:00 - 14:15
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Manuscript ID. 0126
Paper No. 2019-THU-S0601-O001
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Chia-Chi Yang
Award Candidate
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Using Deep Learning for Vision Screening via Infrared Eccentric Photorefraction
Chia-Chi Yang;Jian-Jia Su;Chieh-En Lee;Jin-Shing Tseng;Chu-Ming Cheng;Chung-Hao Tien
In this work, we proposed a photorefraction system integrated with deep learning process to realize long-working-distance vision screening. The mean absolute errors (in both Spherical and Cylinder) can be achieved down to ±0.6 D and ±0.4 D, respectively. The preliminary results have comparable performance with the commercial desktop type device.
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14:15 - 14:30
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Manuscript ID. 0747
Paper No. 2019-THU-S0601-O002
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Chia-I Chen
Award Candidate
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Spectrally-Resolved Third-Harmonic-Generation Microscopy for Label-Free Clinical Molecular Imaging
Chia-I Chen;Hui-Yuan Chen;Hao-Cheng Kao;Ru-Pin Alicia Chi;Yi-Hua Liao;Tzung-Dau Wang;Chi-Kuang Sun
Resonance-enhanced THG brings the information of universal intrinsic absorption contrast of biomolecules. Here we establish spectrally-resolved THG microscopy based on a broadband femtosecond source to enable molecular discrimination and provide minimized photodamage, label-free, high-3D-resolution, deep-penetration and single-beam in vivo microscopy images with molecular information.
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14:30 - 14:45
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Manuscript ID. 0775
Paper No. 2019-THU-S0601-O003
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An-Cin Li
Award Candidate
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Isotropic quantitative differential phase contrast microscopy using deep neural networks
An-Cin Li;Yu-Hsiang Lin;Hsuan-Ming Huang;Yuan Luo
Isotropic quantitative differential phase contrast (iDPC) microscopy based on pupil engineering has made a significant improvement in reconstructing phase image of weak phase objects. To enhance acquisition speed for iDPC, we adapt deep neural networks to achieve isotropic phase retrieval from half-pupil based quantitative differential phase contrast (qDPC) microscopy.
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14:45 - 15:00
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Manuscript ID. 0078
Paper No. 2019-THU-S0601-O004
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Pei-Jhe Wu
Award Candidate
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Harmonic Generation Microscopy for Assessment of the Histopathological Characteristics and Therapeutic Outcome for Acquired Bilateral Nevus of Ota-like Maculae (ABNOM)
Chi-Kuang Sun;Pei-Jhe Wu;Sheng-Tse Chen;Yi-Hua Liao
We demonstrate the first noninvasive treatment assessment of ABNOM with histopathological details. With the high resolution and the quantification capability of harmonic generation microscopy, we measured and analyzed seven parameters to unravel the mechanism of post-inflammatory hyperpigmentation with ABNOM so as to create quantitative measures to define the treatment efficacy.
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15:00 - 15:15
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Manuscript ID. 0172
Paper No. 2019-THU-S0601-O005
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Lin Maio Hui
Award Candidate
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Application of optical coherence tomography for real time tumor-located precisional management of lung
Lin Maio Hui;Liu Hung Chang;Hsiao Tien Yu;Sun Chia Wei
Accurate excision is important for cancer, especially early hyperplasia and carcinoma in situ. In this study, we successfully build a spectral domain optical coherence tomography for instant display of micrometer-level specimens image of resected lung tumor. We expect that this research can provide a new information for accurate excision.
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