Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Seungjae Han"'
Publikováno v:
Advanced Photonics Research, Vol 5, Iss 9, Pp n/a-n/a (2024)
This review explores how artificial intelligence (AI) is transforming fluorescence microscopy, providing an overview of its fundamental principles and recent advancements. The roles of AI in improving image quality and introducing new imaging modalit
Externí odkaz:
https://doaj.org/article/2bdd323a38884c94a7c9c7daa2e25715
Akademický článek
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Publikováno v:
Electronics; Volume 12; Issue 13; Pages: 2782
Patients with amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease, an incurable disease in which motor neurons are selectively destroyed, gradually lose their mobility as organ dysfunction begins, and eventually, patients find i
Publikováno v:
Journal of Visualized Experiments.
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Hyunwoo Kim, Seoungbin Bae, Junmo Cho, Hoyeon Nam, Junyoung Seo, Seungjae Han, Euiin Yi, Eunsu Kim, Young-Gyu Yoon, Jae-Byum Chang
Spatially resolved proteomics requires a highly multiplexed imaging modality. Cyclic imaging techniques, which repeat staining, imaging, and signal erasure, have been adopted for this purpose. However, due to tissue distortion, it is challenging to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab2b8d1680b9b17a4e020b4872d3634b
https://doi.org/10.1101/2022.11.22.517463
https://doi.org/10.1101/2022.11.22.517463
Autor:
Minho Eom, Seungjae Han, Gyuri Kim, Eun-Seo Cho, Jueun Sim, Pojeong Park, Kang-Han Lee, Seonghoon Kim, Márton Rózsa, Karel Svoboda, Myunghwan Choi, Cheol-Hee Kim, Adam E. Cohen, Jae-Byum Chang, Young-Gyu Yoon
Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef4f16b23aaea33a59c74c01c18bf041
https://doi.org/10.1101/2022.11.17.516709
https://doi.org/10.1101/2022.11.17.516709
Autor:
Changyeop Shin, Hyun Ryu, Eun-Seo Cho, Seungjae Han, Kang-Han Lee, Cheol-Hee Kim, Young-Gyu Yoon
Publikováno v:
Medical Image Analysis. 82:102600
Three-dimensional fluorescence microscopy has an intrinsic performance limit set by the number of photons that can be collected from the sample in a given time interval. Here, we extend our earlier work - a recursive light propagation network (RLP-Ne
Autor:
Jueun Sim, Chan E Park, In Cho, Kyeongbae Min, Minho Eom, Seungjae Han, Hyungju Jeon, Hyun-Ju Cho, Eun-Seo Cho, Ajeet Kumar, Yosep Chong, Jeong Seuk Kang, Kiryl D. Piatkevich, Erica E. Jung, Du-Seock Kang, Seok-Kyu Kwon, Jinhyun Kim, Ki-Jun Yoon, Jeong-Soo Lee, Edward S. Boyden, Young-Gyu Yoon, Jae-Byum Chang
Nanoscale resolution imaging of whole vertebrates is required for a systematic understanding of human diseases, but this has yet to be realized. Expansion microscopy (ExM) is an attractive option for achieving this goal, but the expansion of whole ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8a9e1823bb72789a79aadfa9b41bcf6
https://doi.org/10.1101/2021.05.18.443629
https://doi.org/10.1101/2021.05.18.443629
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872335
MICCAI (7)
MICCAI (7)
Calcium imaging is an essential tool to study the activity of neuronal populations. However, the high level of background fluorescence in images hinders the accurate identification of neurons and the extraction of neuronal activities. While robust pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42a40f4605f85e2a3de61d9322c3c487
https://doi.org/10.1007/978-3-030-87234-2_56
https://doi.org/10.1007/978-3-030-87234-2_56