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Ex Vivo Infection of Murine Epidermis with Herpes Simplex Virus Type 1

Ex Vivo Infection of Murine Epidermis with Herpes Simplex Virus Type 1

Published on: August 24, 2015

Computational sensing of herpes simplex virus using a cost-effective on-chip microscope.

Aniruddha Ray^1,2,3, Mustafa Ugur Daloglu^4,5,6, Joslynn Ho⁵

¹Electrical Engineering Department, University of California, Los Angeles, CA, 90095, USA. rayani@ucla.edu.

Scientific Reports

|July 9, 2017

Summary

This study introduces a new method for detecting herpes simplex virus (HSV) using holographic imaging and nanolenses. The technique offers sensitive, label-free detection of HSV, aiding global health initiatives.

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Area of Science:

Biomedical Engineering
Microscopy
Virology

Background:

Herpes simplex virus (HSV) causes herpes, a prevalent global infection.
Accurate and rapid detection of HSV is crucial for effective management and treatment.
Existing diagnostic methods may have limitations in resource-limited settings.

Purpose of the Study:

To develop a novel computational sensing technique for specific and sensitive detection of HSV.
To utilize a label-free approach combining immuno-specificity and physical size measurements.
To create a compact and cost-effective platform for HSV detection.

Main Methods:

Employed a holographic on-chip microscope and surface-functionalized substrate for specific virus capture.
Utilized self-assembled nanolenses to enhance optical signatures and signal-to-noise ratio of captured viruses.
Reconstructed holographic shadows and analyzed phase images for automated quantification of viral particle size.

Main Results:

Achieved sensitive and specific detection of HSV particles through combined immuno-specificity and size-based analysis.
Demonstrated a label-free, computational sensing approach with enhanced optical signatures.
Validated the technique on a ~30 mm² field-of-view, enabling enumeration of HSV particles.

Conclusions:

The developed computational sensing technique provides a sensitive and specific method for HSV detection.
The compact and cost-effective platform is suitable for global health applications, especially in resource-limited environments.
This approach offers a promising alternative for rapid viral diagnostics.