13:30 - 14:00
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Paper No. 2018-THU-S0601-I001
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Invited Speaker: Paul J. Campagnola
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Second Harmonic Generation imaging of ovarian cancer
Paul J. Campagnola
Remodeling of the extracellular matrix in human ovarian cancer can be reflected in increased collagen concentration, changes in alignment within fibrils and fibers and/or up-regulation of different collagen isoforms. We used pixel-based SHG polarization analyses to discriminate ex vivo human tissues (normal stroma, benign tumors, and high grade serous tumors) by: i) determination of i) helical pitch angle via the single axis molecular model, ii) dipole alignment within fibrils via anisotropy, and iii) chirality via SHG circular dichroism (SHG-CD). The largest differences were between normal stroma and benign tumors, consistent with gene expression showing Col III is up-regulated in the latter. The different tissues also displayed differing SHG anisotropies and SHG-CD responses, consistent with either Col III incorporation or randomization of Col I alignment within benign and high-grade tumors fibrils. These results collectively indicate the fibril assemblies are distinct in all tissues and likely result from synthesis of new collagen rather than remodeling of existing collagen. We also implemented a form of 3D texture analysis to delineate the fibrillar morphology observed in SHG images of normal stroma and a spectrum of ovarian benign and malignant tumors (6 classes). We developed a tailored set of 3D filters which extract textural features in the 3D image sets to build statistical models of each class. By applying k-nearest neighbor classification using these models, we achieved 83-91% accuracies for the six classes. This classification based on ECM structural changes will complement conventional classification based on genetic profiles and can serve as an additional biomarker.
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14:00 - 14:15
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Paper No. 2018-THU-S0601-O001
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Bo-Heui Huang
Award Candidate
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Quantitative evaluation of cancer cell colonies with optical coherence tomography
Bo-Heui Huang;Chun-Chih Yeh;Kin Fong Lei;Meng-Tsan Tsai
In this study, we proposed to use optical coherence tomography (OCT) for quantitative evaluation of cell colonies in three dimensions. With OCT, the growth of cell colonies can be observed. Finally, the developed OCT platform was also used for drug testing.
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14:15 - 14:30
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Paper No. 2018-THU-S0601-O002
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Lin Miao-Hui
Award Candidate
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Phase stabilization of Doppler optical coherence tomography by fully numerical algorithm
Lin Miao-Hui;Sun Chia-wei
A swept-source optical coherence tomography (SS-OCT) system based on center wavelength 1060nm light source is successfully used on the detection of flow signals. This method does not require any calibration hardware. The Doppler shift intensity image can easily separate stationary and moving area.
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14:30 - 14:45
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Paper No. 2018-THU-S0601-O003
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Cheng-Hung Shih
Award Candidate
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In vivo rat corneal nerves imaging with isotropic cellular-resolution optical coherence tomography
Cheng-Hung Shih
The belt-like stromal nerve bundles were imaged using isotropic optical coherence tomography with cellular resolution. The nerve bundle has an elliptical cross section with an ellipticity of 0.87. Both 2 dimensional (sub-basal) and 3 dimensional (stromal) nerve densities were defined and acquired as 13.5 mm-1 and 40 mm-1, respectively.
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14:45 - 15:00
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Paper No. 2018-THU-S0601-O004
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Yu-Hsuan Chuang
Award Candidate
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Isotropic Quantitative Differential Phase Contrast Microscopy with Radially Asymmetric Illumination
Yu-Hsuan Chuang;Yuan Luo
We propose a novel illumination method of using our iDPC system added on the commercial inverted microscope with a TFT shield to adjust the illumination pattern. We demonstrate our theoretical approach for iDPC and experimental results by using radial asymmetric pupils to show our accuracy on phase recovery.
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15:00 - 15:15
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Paper No. 2018-THU-S0601-O005
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Yi-Da Su
Award Candidate
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Imaging vitreous floaters and cataracts with optical simulations
Yi-Da Su;Chi-Hung Lee;George C. Woo;Shuan-Yu Huang
This study proposes a practical method for modeling floating images in a human eye with vitreous floaters by using optical software and image processing. The imaging model of floater group and cataracts enables us to identify the origin of vision deficiency.
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