Low-rate smartphone videoscopy for microsecond luminescence lifetime imaging with machine learning.

Wang, Yan; Sadeghi, Sina; Velayati, Alireza; Paul, Rajesh; Hetzler, Zach; Danilov, Evgeny; Ligler, Frances S; Wei, Qingshan

Wang, Yan; Sadeghi, Sina; Velayati, Alireza; Paul, Rajesh; Hetzler, Zach; Danilov, Evgeny; Ligler, Frances S; Wei, Qingshan.

Afiliação

Wang Y; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Sadeghi S; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Velayati A; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Paul R; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Hetzler Z; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Danilov E; Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA.
Ligler FS; Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Wei Q; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.

PNAS Nexus ; 2(10): pgad313, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37829844

Palavras-chave

V-chopper; lifetime imaging; machine learning; smartphone videoscopy; time-resolved

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: PNAS Nexus Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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