Gyuri Kim
8 Papers
Gyuri Kim is an academic researcher. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 1, co-authored 5 publications.
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Papers
Statistically unbiased prediction enables accurate denoising of voltage imaging data.
Min-Jung Eom,Seung Kyu Han,Pojeong Park,Gyuri Kim,Eun-Seo Cho,Jueun Sim,Kang Han Lee,Seonghoon Kim,He Tian,Urs L Böhm,Eric Lowet,Hua-an Tseng,Jieun Choi,Stephani Edwina Lucia,Seung Hyun Ryu,Márton Rózsa,Sunghoe Chang,Pilhan Kim,Xue Han,Kiryl D. Piatkevich,Myung Kyu Choi,Cheol-Hee Kim,Adam E. Cohen,Jae-Byum Chang,Young-Gyu Yoon +24 more
TL;DR: It is shown that SUPPORT enables precise denoising of voltage imaging data and other types of microscopy image while preserving the underlying dynamics within the scene.
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Petascale Homology Search for Structure Prediction
Gyuri Kim,Eli Levy Karin,Milot Mirdita,Sukhwan Park,Rayan Chikhi,Artem Babaian,Andriy Kryshtafovych,Martin Steinegger +7 more
TL;DR: In this article , the authors conducted a petabase-scale search of the Sequence Read Archive (SRA), resulting in gigabytes of aligned homologs for CASP15 targets.
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Soluble receptors for advanced glycation end-products prevent unilateral ureteral obstruction-induced renal fibrosis
Chan Ho Kim,Hye Young Kang,Gyuri Kim,JiMin Park,Bo Young Nam,Jung Tak Park,Shin Wook Kang,Tae Hyun Yoo +7 more
TL;DR: This document summarizes current capabilities, research and operational priorities, and plans for further studies that were established at the 2015 USGS workshop on quantitative hazard assessments of earthquake-triggered landsliding and liquefaction.
In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy.
TL;DR: In this paper , an optimized protocol for performing whole-brain imaging of larval zebrafish using three-dimensional fluorescence microscopy, including sample preparation and immobilization, sample embedding, image acquisition, and visualization after imaging.
1
Doubling multiplexed imaging capability via spatial expression pattern-guided protein pairing and computational unmixing
Gyuri Kim,Min-Jung Eom,Hyunwoo Kim,Jae-Byum Chang,Young-Gyu Yoon +4 more
TL;DR: Researchers propose SEPARATE, a method that doubles multiplexed imaging capability by pairing proteins with the same fluorophore and unmixing their signals based on spatial expression patterns, enabling volumetric multiplexed imaging with fewer fluorophores.