Zobrazeno 1 - 10
of 459
pro vyhledávání: '"YongKeun, Park"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Rapid and accurate diagnosis of acute myeloid leukemia (AML) remains a significant challenge, particularly in the context of myelodysplastic syndrome (MDS) or MDS/myeloproliferative neoplasm with NPM1 mutations. This study introduces an inno
Externí odkaz:
https://doaj.org/article/b509133b5d7242f8a11fdf4360c3da20
Autor:
Moosung Lee, Hyuntae Jeong, Chaeyeon Lee, Mahn Jae Lee, Benedict Reve Delmo, Won Do Heo, Jennifer H. Shin, YongKeun Park
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract A critical requirement for studying cell mechanics is three-dimensional assessment of cellular shapes and forces with high spatiotemporal resolution. Traction force microscopy with fluorescence imaging enables the measurement of cellular for
Externí odkaz:
https://doaj.org/article/6ddf8d48611444498b939cb45af3129e
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract An ideal holographic camera measures the amplitude and phase of the light field so that the focus can be numerically adjusted after the acquisition, and depth information about an imaged object can be deduced. The performance of holographic
Externí odkaz:
https://doaj.org/article/ea2a18328fa442a091aa742f4e007fe3
Autor:
Young Ki Lee, Dongmin Ryu, Seungwoo Kim, Juyeon Park, Seog Yun Park, Donghun Ryu, Hayoung Lee, Sungbin Lim, Hyun-Seok Min, YongKeun Park, Eun Kyung Lee
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract We developed a machine learning algorithm (MLA) that can classify human thyroid cell clusters by exploiting both Papanicolaou staining and intrinsic refractive index (RI) as correlative imaging contrasts and evaluated the effects of this com
Externí odkaz:
https://doaj.org/article/72070ee2e70c4e6291e3342d186b377a
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Biomolecular condensates play a key role in organizing cellular reactions by concentrating a specific set of biomolecules. However, whether condensate formation is accompanied by an increase in the total mass concentration within condensates
Externí odkaz:
https://doaj.org/article/5fabe2010fc947f09f91481af9cb16ca
Publikováno v:
Light: Science & Applications, Vol 12, Iss 1, Pp 1-13 (2023)
High-resolution X-ray sample field image is directly retrieved in a single shot using the mathematical relations of spatially pseudorandom (i.e., speckle) fields.
Externí odkaz:
https://doaj.org/article/9daa2e40aaaa49b7bb031eab4b82126c
Autor:
Chungha Lee, Sangho Lee, Taeseop Shin, Geon Kim, Jieun Do, Jaephil Do, Ji Hyang Kim, Kyoung Hee Choi, Jae Young Kim, YongKeun Park
Publikováno v:
Fertility & Reproduction, Vol 05, Iss 04, Pp 430-431 (2023)
Background and Aims: Time-lapse technology is an emerging assisted reproductive technology (ART) that enables simultaneous culture and monitoring of embryos in vitro during their development. It provides extra information on key events during embryo
Externí odkaz:
https://doaj.org/article/d781f939a05f4bf1945ec3c0d78ef240
Autor:
Ariel J. Lee, Herve Hugonnet, Young Seo Kim, Joon-Goon Kim, Moosung Lee, Taeyun Ku, YongKeun Park
Publikováno v:
Advanced Photonics Research, Vol 4, Iss 10, Pp n/a-n/a (2023)
High‐resolution structural imaging of brain tissue is important for neuroscience research. However, conventional approaches have several limitations, such as the need for exogenous staining, limited accessibility to volumetric information, and qual
Externí odkaz:
https://doaj.org/article/a2a360ed714649be8f6654dcd6ee8616
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Three-dimensional (3D) quantitative phase imaging (QPI) enables long-term label-free tomographic imaging and quantitative analysis of live individual bacteria. However, the Brownian motion or motility of bacteria in a liquid medium produces
Externí odkaz:
https://doaj.org/article/30cc9d0f06e949c98963c3e32a95e2c3
Autor:
Geon Kim, Daewoong Ahn, Minhee Kang, Jinho Park, DongHun Ryu, YoungJu Jo, Jinyeop Song, Jea Sung Ryu, Gunho Choi, Hyun Jung Chung, Kyuseok Kim, Doo Ryeon Chung, In Young Yoo, Hee Jae Huh, Hyun-seok Min, Nam Yong Lee, YongKeun Park
Publikováno v:
Light: Science & Applications, Vol 11, Iss 1, Pp 1-12 (2022)
Label-free rapid deep-learning-based identification of bacterial species that classifies 3D refractive index tomograms into the species.
Externí odkaz:
https://doaj.org/article/99d95847005f492f887e1aab6140e65d