A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria
| Autor: | Cédric Delmon, Erwan Ferrandon, Emilie Chouzenoux, Audrey Prorot, Sophie Alain, Claire Lefort |
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| Přispěvatelé: | Eau Environnement Limoges ( E2Lim), Institut Matériaux Procédés Environnement Ouvrages (IMPEO), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS), OPtimisation Imagerie et Santé (OPIS), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de vision numérique (CVN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-CentraleSupélec-Université Paris-Saclay, Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques (RESINFIT), CHU Limoges-Institut National de la Santé et de la Recherche Médicale (INSERM)-OmégaHealth (ΩHealth), European Project: ERC-2019-STG-850925,MAJORIS(2020) |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
SARS-CoV-2
free-virions General Engineering metabolic indicators General Physics and Astronomy General Materials Science General Chemistry computational restoration Two-photon fluorescence bacteria [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing General Biochemistry Genetics and Molecular Biology |
| Zdroj: | Journal of Biophotonics Journal of Biophotonics, In press, ⟨10.1002/jbio.202200266⟩ |
| ISSN: | 1864-063X 1864-0648 |
| DOI: | 10.1002/jbio.202200266⟩ |
| Popis: | International audience; Current solutions for bacteria and viruses identification are based on time-consuming technics with complex preparation procedures. In the present work, we revealed label-free the presence of free viral particles and bacteria with a computational two-photon fluorescence (C-TPF) strategy. Six bacteria were tested: Escherichia coli, Staphylococcus epidermidis, Proteus vulgaris, Pseudomonas fluorescens, Bacillus subtilis and Clostridium perfringens. The two families of viral particles were the herpes virus with the cytomegalovirus (CMV, 300 nm of diameter) and the coronavirus with the SARS-CoV-2 (100 nm of diameter). The instrumental and computational pipeline FAMOUS optimized the produced 3D images. The origin of the fluorescence emission was discussed for bacteria regarding to their two-photon excitation spectra and attributed to the metabolic indicators (FAD and NADH). The optical and computational strategy constitute a new approach for imaging label-free viral particles and bacteria and paves the way to a new understanding of viral or bacterial ways of infection. |
| Databáze: | OpenAIRE |
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