Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Jo, Youngju"'
We present a data-driven approach to compensate for optical aberration in calibration-free quantitative phase imaging (QPI). Unlike existing methods that require additional measurements or a background region to correct aberrations, we exploit deep l
Externí odkaz:
http://arxiv.org/abs/2007.13038
Autor:
Tajima, Seiya, Kim, Yoon Seok, Fukuda, Masahiro, Jo, YoungJu, Wang, Peter Y., Paggi, Joseph M., Inoue, Masatoshi, Byrne, Eamon F.X., Kishi, Koichiro E., Nakamura, Seiwa, Ramakrishnan, Charu, Takaramoto, Shunki, Nagata, Takashi, Konno, Masae, Sugiura, Masahiro, Katayama, Kota, Matsui, Toshiki E., Yamashita, Keitaro, Kim, Suhyang, Ikeda, Hisako, Kim, Jaeah, Kandori, Hideki, Dror, Ron O., Inoue, Keiichi, Deisseroth, Karl, Kato, Hideaki E.
Publikováno v:
In Cell 28 September 2023 186(20):4325-4344
Autor:
Ryu, Donghun, Jo, Youngju, Yoo, Jihyeong, Chang, Taean, Ahn, Daewoong, Kim, Young Seo, Kim, Geon, Min, Hyun-seok, Park, Yongkeun
Publikováno v:
Scientific Reports volume 9, Article number: 15239 (2019)
In tomographic reconstruction, the image quality of the reconstructed images can be significantly degraded by defects in the measured two-dimensional (2D) raw image data. Despite the importance of screening defective 2D images for robust tomographic
Externí odkaz:
http://arxiv.org/abs/1903.02097
Autor:
Choi, Gunho, Ryu, Donghun, Jo, Youngju, Kim, Youngseo, Park, Weisun, Min, Hyun-Seok, Park, Yongkeun
We present a deep neural network to reduce coherent noise in three-dimensional quantitative phase imaging. Inspired by the cycle generative adversarial network, the denoising network was trained to learn a transform between two image domains: clean a
Externí odkaz:
http://arxiv.org/abs/1811.06950
Autor:
Jo, YoungJu, Cho, Hyungjoo, Lee, Sang Yun, Choi, Gunho, Kim, Geon, Min, Hyun-seok, Park, YongKeun
Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have opened up the possibility of an exciting frontier. The fast and label-free nature of QPI enables the rapid generation of large-scale and uniform-quality imaging
Externí odkaz:
http://arxiv.org/abs/1806.03982
Autor:
Sylwestrak, Emily L., Jo, YoungJu, Vesuna, Sam, Wang, Xiao, Holcomb, Blake, Tien, Rebecca H., Kim, Doo Kyung, Fenno, Lief, Ramakrishnan, Charu, Allen, William E., Chen, Ritchie, Shenoy, Krishna V., Sussillo, David, Deisseroth, Karl
Publikováno v:
In Cell 15 September 2022 185(19):3568-3587
Autor:
Yu, Hyeonseung, Lee, Peter, Jo, YoungJu, Lee, KyeoReh, Tuchin, Valery V., Jeong, Yong, Park, YongKeun
We demonstrate that simultaneous application of optical clearing agents (OCAs) and complex wavefront shaping in optical coherence tomography (OCT) can provide significant enhancement of the penetration depth and imaging quality. OCA reduces optical i
Externí odkaz:
http://arxiv.org/abs/1610.01658
Rapid identification of bacterial species is crucial in medicine and food hygiene. In order to achieve rapid and label-free identification of bacterial species at the single bacterium level, we propose and experimentally demonstrate an optical method
Externí odkaz:
http://arxiv.org/abs/1502.05160
Publikováno v:
In Biosensors and Bioelectronics 1 January 2019 123:69-76
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