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Visualizing Ebolavirus Particles Using Single-Particle Interferometric Reflectance Imaging Sensor (SP-IRIS).

Erik P Carter1, Elif Ç Seymour2, Steven M Scherr3

  • 1Microbiology and National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston, MA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|June 3, 2017
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Summary
This summary is machine-generated.

This study presents a label-free light microscopy method for imaging and quantifying Ebola virus (EBOV) and viruslike particles (VLPs). The technique allows for accurate detection and structural analysis of EBOV particles without electron microscopy.

Keywords:
BiosensingEbolaHigh throughputInterferometric imagingLabel-freeViral hemorrhagic feversVirus detection

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Area of Science:

  • Virology
  • Biophysics
  • Microscopy

Background:

  • Accurate detection and quantification of Ebola virus (EBOV) are crucial for understanding its pathogenesis and developing diagnostics.
  • Traditional methods for virus imaging often require labeling or electron microscopy, which can be complex and time-consuming.

Purpose of the Study:

  • To develop and describe a label-free light microscopy approach for the imaging and quantification of intact EBOV and EBOV viruslike particles (VLPs).
  • To enable the structural resolution of EBOV VLPs without the need for electron microscopy.

Main Methods:

  • Utilizes interference reflectance imaging on a silicon chip functionalized with virus-specific antibodies to capture individual virus particles.
  • Enables label-free detection and imaging of captured virions directly from various sample types, including blood and tissue culture medium.

Main Results:

  • Demonstrates the ability to resolve the filamentous structure of EBOV VLPs using light microscopy.
  • Achieves automated quantitative analysis of captured virions, allowing for determination of virus concentration in unknown samples.
  • Provides a means to assess particle size and morphology in a quantitative manner without additional labeling.

Conclusions:

  • The developed interference reflectance imaging technique offers a sensitive and quantitative method for label-free analysis of EBOV and EBOV VLPs.
  • This approach simplifies virus imaging and quantification, making it accessible for various research and diagnostic applications.
  • The technique facilitates the study of virion morphology and concentration in native biological samples.