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Statistically unbiased prediction enables accurate denoising of voltage imaging data.
Eom, Minho; Han, Seungjae; Park, Pojeong; Kim, Gyuri; Cho, Eun-Seo; Sim, Jueun; Lee, Kang-Han; Kim, Seonghoon; Tian, He; Böhm, Urs L; Lowet, Eric; Tseng, Hua-An; Choi, Jieun; Lucia, Stephani Edwina; Ryu, Seung Hyun; Rózsa, Márton; Chang, Sunghoe; Kim, Pilhan; Han, Xue; Piatkevich, Kiryl D; Choi, Myunghwan; Kim, Cheol-Hee; Cohen, Adam E; Chang, Jae-Byum; Yoon, Young-Gyu.
Afiliação
  • Eom M; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.
  • Han S; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.
  • Park P; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
  • Kim G; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.
  • Cho ES; School of Electrical Engineering, KAIST, Daejeon, Republic of Korea.
  • Sim J; Department of Materials Science and Engineering, KAIST, Daejeon, Republic of Korea.
  • Lee KH; Department of Biology, Chungnam National University, Daejeon, Republic of Korea.
  • Kim S; School of Biological Sciences, Seoul National University, Seoul, Republic of Korea.
  • Tian H; Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Republic of Korea.
  • Böhm UL; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
  • Lowet E; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
  • Tseng HA; Einstein Center for Neurosciences, NeuroCure Cluster of Excellence, Charité University of Medicine Berlin, Berlin, Germany.
  • Choi J; Department of Biomedical Engineering, Boston University, Boston, MA, USA.
  • Lucia SE; Department of Biomedical Engineering, Boston University, Boston, MA, USA.
  • Ryu SH; Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
  • Rózsa M; KAIST Institute for Health Science and Technology, Daejeon, Republic of Korea.
  • Chang S; Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
  • Kim P; KAIST Institute for Health Science and Technology, Daejeon, Republic of Korea.
  • Han X; Interdisciplinary Program in Neuroscience, Seoul National University, Seoul, Republic of Korea.
  • Piatkevich KD; Allen Institute for Neural Dynamics, Seattle, WA, USA.
  • Choi M; Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Kim CH; Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
  • Cohen AE; KAIST Institute for Health Science and Technology, Daejeon, Republic of Korea.
  • Chang JB; Graduate School of Nanoscience and Technology, KAIST, Daejeon, Republic of Korea.
  • Yoon YG; Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Nat Methods ; 20(10): 1581-1592, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37723246
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Microscopia Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Methods Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Microscopia Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Methods Ano de publicação: 2023 Tipo de documento: Article