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Enhanced light microscopy visualization of virus particles from Zika virus to filamentous ebolaviruses.
Daaboul, George G; Freedman, David S; Scherr, Steven M; Carter, Erik; Rosca, Alexandru; Bernstein, David; Mire, Chad E; Agans, Krystle N; Hoenen, Thomas; Geisbert, Thomas W; Ünlü, M Selim; Connor, John H.
Afiliación
  • Daaboul GG; nanoView Diagnostics Inc., Boston, MA, United States of America.
  • Freedman DS; nanoView Diagnostics Inc., Boston, MA, United States of America.
  • Scherr SM; Department of Mechanical Engineering, Boston University, Boston, MA, United States of America.
  • Carter E; Department of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
  • Rosca A; nanoView Diagnostics Inc., Boston, MA, United States of America.
  • Bernstein D; nanoView Diagnostics Inc., Boston, MA, United States of America.
  • Mire CE; Galveston National Laboratory, Galveston, TX, United States of America.
  • Agans KN; Department of Microbiology, Galveston, TX, United States of America.
  • Hoenen T; Immunology, University of Texas Medical Branch, Galveston, TX, United States of America.
  • Geisbert TW; Galveston National Laboratory, Galveston, TX, United States of America.
  • Ünlü MS; Department of Microbiology, Galveston, TX, United States of America.
  • Connor JH; Immunology, University of Texas Medical Branch, Galveston, TX, United States of America.
PLoS One ; 12(6): e0179728, 2017.
Article en En | MEDLINE | ID: mdl-28651016
ABSTRACT
Light microscopy is a powerful tool in the detection and analysis of parasites, fungi, and prokaryotes, but has been challenging to use for the detection of individual virus particles. Unlabeled virus particles are too small to be visualized using standard visible light microscopy. Characterization of virus particles is typically performed using higher resolution approaches such as electron microscopy or atomic force microscopy. These approaches require purification of virions away from their normal millieu, requiring significant levels of expertise, and can only enumerate small numbers of particles per field of view. Here, we utilize a visible light imaging approach called Single Particle Interferometric Reflectance Imaging Sensor (SP-IRIS) that allows automated counting and sizing of thousands of individual virions. Virions are captured directly from complex solutions onto a silicon chip and then detected using a reflectance interference imaging modality. We show that the use of different imaging wavelengths allows the visualization of a multitude of virus particles. Using Violet/UV illumination, the SP-IRIS technique is able to detect individual flavivirus particles (~40 nm), while green light illumination is capable of identifying and discriminating between vesicular stomatitis virus and vaccinia virus (~360 nm). Strikingly, the technology allows the clear identification of filamentous infectious ebolavirus particles and virus-like particles. The ability to differentiate and quantify unlabeled virus particles extends the usefulness of traditional light microscopy and can be embodied in a straightforward benchtop approach allowing widespread applications ranging from rapid detection in biological fluids to analysis of virus-like particles for vaccine development and production.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virión / Ebolavirus / Virus Zika / Microscopía de Interferencia / Microscopía Ultravioleta Tipo de estudio: Evaluation_studies Límite: Animals / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virión / Ebolavirus / Virus Zika / Microscopía de Interferencia / Microscopía Ultravioleta Tipo de estudio: Evaluation_studies Límite: Animals / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos