A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria.

Delmon, Cédric; Ferrandon, Erwan; Chouzenoux, Emilie; Prorot, Audrey; Alain, Sophie; Lefort, Claire

Delmon, Cédric; Ferrandon, Erwan; Chouzenoux, Emilie; Prorot, Audrey; Alain, Sophie; Lefort, Claire.

Afiliação

Delmon C; E2LIM, UR24133, University of Limoges, Limoges, France.
Ferrandon E; XLIM Research Institute, UMR CNRS 7252, University of Limoges, Limoges, France.
Chouzenoux E; Center for Visual Computing, CentraleSupélec, Inria Saclay, Université Paris-Saclay, Gif-sur-Yvette, France.
Prorot A; E2LIM, UR24133, University of Limoges, Limoges, France.
Alain S; Bacteriology-Virology-Hygiene Department, RESINFIT, UMR INSERM 1092 University of Limoges, University Hospital Center, Limoges, France.
Lefort C; XLIM Research Institute, UMR CNRS 7252, University of Limoges, Limoges, France.

J Biophotonics ; 16(5): e202200266, 2023 05.

Article em En | MEDLINE | ID: mdl-36642886

Assuntos

COVID-19; Vírus; Humanos; Fluorescência; SARS-CoV-2; Bacillus subtilis

Palavras-chave

SARS-CoV-2; bacteria; computational restoration; free-virions; metabolic indicators; two-photon fluorescence

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus / COVID-19 Limite: Humans Idioma: En Revista: J Biophotonics Assunto da revista: BIOFISICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França País de publicação: Alemanha

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