Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Chi Hsiang Lien"'
Autor:
Anupama Nair, Chun-Yu Lin, Feng-Chun Hsu, Ta-Hsiang Wong, Shu-Chun Chuang, Yi-Shan Lin, Chung-Hwan Chen, Paul Campagnola, Chi-Hsiang Lien, Shean-Jen Chen
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract 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
Externí odkaz:
https://doaj.org/article/50072df7e7da404f90c24fa32fac61e8
Autor:
Anupama Nair, Shu-Chun Chuang, Yi-Shan Lin, Chung-Hwan Chen, Ting-Chen Fang, Hsiao-Chi Chiu, Chi-Hsiang Lien, Shean-Jen Chen
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract 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 col
Externí odkaz:
https://doaj.org/article/612da861af6344b881e7f2c9e117cfd6
Publikováno v:
Plants, Vol 12, Iss 17, p 3067 (2023)
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 wit
Externí odkaz:
https://doaj.org/article/4bc6098787b1489db315694150b58d4a
Autor:
Quoc-Hung Phan, Van-Tung Nguyen, Chi-Hsiang Lien, The-Phong Duong, Max Ti-Kuang Hou, Ngoc-Bich Le
Publikováno v:
Plants, Vol 12, Iss 4, p 790 (2023)
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 tra
Externí odkaz:
https://doaj.org/article/9f4a503f756342fd84dd5cc8c174c442
Publikováno v:
Sensors, Vol 22, Iss 4, p 1362 (2022)
A graphene-based surface plasmon resonance (SPR) prism coupler sensor is proposed for the rapid detection of immunoglobulin G (IgG) antibodies. The feasibility of the proposed sensor is demonstrated by measuring the IgG concentration in phantom mouse
Externí odkaz:
https://doaj.org/article/80d80f2a60bd49f98b7b9ce33ff010f0
Publikováno v:
Sensors, Vol 21, Iss 10, p 3442 (2021)
A dual liquid-crystal variable retarder Mueller polarimetry system incorporating a gold-based surface plasmon resonance prism coupler was proposed for extracting the optical properties of serum albumin protein media in the reflectance configuration.
Externí odkaz:
https://doaj.org/article/9f5be7119da94a3393877b5c1d7caab4
Autor:
Chi-Hsiang Lien, Anupama Nair, Shu‐Chun Chuang, Yi-Shan Lin, Chun-Yu Lin, Chung-Hwan Chen, Shean-Jen Chen
Publikováno v:
Multiphoton Microscopy in the Biomedical Sciences XXIII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c74cd364f3f5625f93bc56029b0430e5
https://doi.org/10.1117/12.2650478
https://doi.org/10.1117/12.2650478
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98e73972315b8a557f97e819168314c6
https://doi.org/10.1145/3508352.3549472
https://doi.org/10.1145/3508352.3549472
Publikováno v:
Optics and Lasers in Engineering. 168:107657
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca85c59334e31ad8b3d4bb3ee107004
https://doi.org/10.1016/j.optlaseng.2023.107657
https://doi.org/10.1016/j.optlaseng.2023.107657
Publikováno v:
Biomedical Spectroscopy, Microscopy, and Imaging II.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bec48f6cbcc0021de7c3bfc3bbf995
https://doi.org/10.1117/12.2621568
https://doi.org/10.1117/12.2621568