Chi-Hsiang Lien

Deep learning–assisted quantitative analysis of collagen type I and II in regenerating tissue using polarization-resolved second-harmonic generation imaging

Van-Tung Nguyen, Chun-Yu Lin, Shu‐Chun Chuang, Yi-Shan Lin et autres

Polarization-SHG analysis of regenerative tissue in porcine knee cartilage defects treated with stem cells

Van Son Nguyen, Anupama Nair, Shu‐Chun Chuang, Yi-Shan Lin et autres

This study presents a dual-liquid crystal-based polarization-resolved second harmonic generation microscopy technique for analyzing cartilage repair. By assessing peptide pitch angle, anisotropy, and circular dichroism, it distinguishes collagen types (I/II) and monitors regeneration in a porcine knee defect model.

The Mueller matrix analysis of articular cartilage tissue using liquid crystal modules

Chi-Hsiang Lien, Chun‐Yu Lin, Shu‐Chun Chuang, Yi-Shan Lin et autres

This study investigates the polarization properties of articular cartilage tissue sections using Mueller matrix analysis with a liquid crystal-based imaging system. The surface region of the cartilage, which is rich in type II collagen, was selected for imaging. To analyze the polarization …

Categorization of collagen hydrogels using multipolarization SHG imaging with deep learning

Chi-Hsiang Lien, Chung‐Hwan Chen, Anupama Nair, Chun‐Yu Lin et autres

In this study, a ResNet approach based on multipolarization SHG imaging is proposed for the categorization and regression of collagen type I and II blend hydrogels at 0%, 25%, 50%, 75%, and 100% type II, without the need for prior time-consuming model …

Categorization of collagen type I and II blend hydrogel using multipolarization SHG imaging with ResNet regression

Anupama Nair, Chun‐Yu Lin, Feng‐Chun Hsu, Ta-Hsiang Wong et autres

Previously, the discrimination of collagen types I and II was successfully achieved using peptide pitch angle and anisotropic parameter methods. However, these methods require fitting polarization second harmonic generation (SHG) pixel-wise information into generic mathematical models, revealing inconsistencies in categorizing collagen type …

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Tomato Fruit Detection Using Modified Yolov5m Model with Convolutional Neural Networks

Fa-Ta Tsai, Van-Tung Nguyen, The-Phong Duong, Quoc-Hung Phan et autres

The farming industry is facing the major challenge of intensive and inefficient harvesting labors. Thus, an efficient and automated fruit harvesting system is required. In this study, three object classification models based on Yolov5m integrated with BoTNet, ShuffleNet, and GhostNet convolutional neural …

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High-resolution imaging and modeling of collagen architecture alterations in high-grade serous ovarian cancer

Paul J. Campagnola, Farid Atry, Samuel Alkmin, Vikas Singh et autres

We have developed SHG microscope tools to probe all levels of collagen architecture organization in human high grade serous ovarian cancer (HSOC). We have found pronounced differences using machine learning classification of the fiber morphology as well as alterations in macro/supramolecular structural …

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Effects of graphene layer addition on sensitivity of surface plasmon resonance sensor for immunoglobulin M detection

Quoc-Hung Phan, Quoc-Thinh Dinh, Hsian‐Min Chen, Chi-Hsiang Lien et autres

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Analysis of the different type collagen with pixel-resolution by Dual-LC PSHG microscopy (Conference Presentation)

Chi-Hsiang Lien, Anupama Nair, Shu‐Chun Chuang, Yi-Shan Lin et autres

Collagen is ubiquitously found inside the human body and is the main structural protein in the Extracellular Matrix (ECM) of various tissues. In this work, we focus on the improvement instrumentation and methods used for obtaining collagen structural information in the SHG …

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Classification of Tomato Fruit Using Yolov5 and Convolutional Neural Network Models

Quoc-Hung Phan, Van-Tung Nguyen, Chi-Hsiang Lien, The-Phong Duong et autres

Four deep learning frameworks consisting of Yolov5m and Yolov5m combined with ResNet50, ResNet-101, and EfficientNet-B0, respectively, are proposed for classifying tomato fruit on the vine into three categories: ripe, immature, and damaged. For a training dataset consisting of 4500 images and a …

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Characterization of collagen response to bone fracture healing using polarization-SHG

Anupama Nair, Shu‐Chun Chuang, Yi-Shan Lin, Chung‐Hwan Chen et autres

In this study, we extend on the three parameter analysis approach of utilizing a noninvasive dual-liquid-crystal-based polarization-resolved second harmonic generation (SHG) microscopy to facilitate the quantitative characterization of collagen types I and II in fracture healing tissues. The SHG images under various …

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Reinforcement Learning and DEAR Framework for Solving the Qubit Mapping Problem

ChingYao Huang, Chi-Hsiang Lien, Wai-Kei Mak

Quantum computing is gaining more and more attention due to its huge potential and the constant progress in quantum computer development. IBM and Google have released quantum architectures with more than 50 qubits. However, in these machines, the physical qubits are not …

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