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Using a non-destructive, light diffraction fingerprint technique to detect viral infections in cells

Using a non-destructive, light diffraction fingerprint technique to detect viral infections in cells
Principle and structure of the online location detection system for virus infection in cells based on lensless diffraction. (A) Change mechanism of cells after virus stress. (B) Schematic diagram of diffraction principles. (C) Principle of the diffraction fingerprint formed by the optical path in the diffraction process. (D) Schematic diagram of cell morphological changes at different times after virus stress. (E) Effect of different morphologies on the light path. (F) Schematic diagram of the device. Credit: Science Advances (2024). DOI: 10.1126/sciadv.adl3466

A combined team of engineers from Jiangsu University and Harvard University used a non-destructive, light diffraction fingerprint technique to detect viral infections in cells. Their paper is published in the journal Science Advances.

Currently, detecting in livestock involves the use of in vitro assays, applying chemicals to and studying the results under a microscope. Such work is typically expensive and time consuming, sometimes taking as long as 40 hours. The has been asking the research community to find a better way.

In this new study, the research team observed that when a virus infects a cell, tissue stress typically results. This led them to consider using lensless light diffraction to detect for infected cells, an approach that would allow them to test cells quickly and without causing any damage.

Light from a lamp was shone through a micropore onto a slide holding a tissue sample. Beneath the cell was a CMOS sensor for collecting diffracted light. Data from the sensor was then sent to a computer for processing. Software isolated contrast and differential movement to create a diffraction fingerprint for a given cell in the tissue sample, which could then be compared to known fingerprints of cells infected with viruses.

The technique allows not only the identification of a virus by its diffraction fingerprint, but also the continuous monitoring of the same samples to determine damage extent.

The approach was highly accurate, with success rates roughly equivalent to those obtained by current standard testing methods. The researchers noted that analyzing a single sample typically took two hours or less and that it was nondestructive. It also could be automated. And because the test is based on analysis, testing can be performed by nonprofessionals.

The researchers suggest that with further refinement, it could be used on site to test livestock or, looking forward, in test labs dedicated to detecting viruses in humans. These findings could prove critically important when the next pandemic strikes.

More information: Tongge Li et al, Virus detection light diffraction fingerprints for biological applications, Science Advances (2024). DOI: 10.1126/sciadv.adl3466

Journal information: Science Advances

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Citation: Using a non-destructive, light diffraction fingerprint technique to detect viral infections in cells (2024, March 18) retrieved 27 April 2024 from https://phys.org/news/2024-03-destructive-diffraction-fingerprint-technique-viral.html
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