New single virus detection techniques for faster disease diagnosis

May 30, 2013
This is aphotograph of 1cm x 1cm optofluidic chip for direct detection of viral nucleic acids. Credit: Holger Schmidt

To test the severity of a viral infection, clinicians try to gauge how many viruses are packed into a certain volume of blood or other bodily fluid. This measurement, called viral load, helps doctors diagnose or monitor chronic viral diseases such as HIV/AIDS and hepatitis. However, the standard methods used for these tests are only able to estimate the number of viruses in a given volume of fluid. Now two independent teams have developed new optics-based methods for determining the exact viral load of a sample by counting individual virus particles. These new methods are faster and cheaper than standard tests and they offer the potential to conduct the measurements in a medical office or hospital instead of a laboratory. The teams will present their latest results at the Conference on Lasers and Electro-Optics (CLEO: 2013), to be held June 9-14, in San Jose, Calif.

One research group, led by electrical engineer and bioengineer Aydogan Ozcan of UCLA, is working to directly image single virus particles using holographic microscopy. The other, led by electrical engineer Holger Schmidt of the University of California, Santa Cruz (UCSC), is detecting single particles tagged with fluorescent labels on a microfluidic chip. Both teams expect to use their work to develop commercial instruments useful for on-site diagnosis and monitoring with rapid results and fast turnaround.

Ozcan's UCLA team has demonstrated the ability to capture of single viruses and over a comparatively large field of view – about the size of a postage stamp – using nanolenses that self-assemble around the virus particles like little .

"Because viruses are very small—less than 100 billionths of a meter—compared to the wavelength of light, conventional light microscopy has difficulty producing an image due to weak scattering of sub-wavelength particles," Ozcan says. When lighted, the team's new nanolens-nanoparticle assembly projects a hologram that can be recorded using a CMOS imager chip (a type of semiconductor-based light detector) and digitally reconstructed to form an optical image of the particle. "The resulting image improves the field-of-view of a conventional optical microscope by two orders of magnitude," says Ozcan.

This wide field of view allows the device to form images of many nanoparticles in a single photograph and provides a high-throughput platform for a direct and accurate viral load count. The instrument can be made sufficiently compact and lightweight for field applications and, attached to a cell phone, could become useful even in remote locations.

(a) This is a schematic for lensfree pixel super-resolution holographic microscopy . The inset shows a scanning electron microscope (SEM) image of a 1 µm bead with the residue from the nano-lens that has been desiccated during the SEM sample preparation procedure. (b) This is a sample preparation technique that self-assembles nano-lenses around individual nano-particles. Credit: Aydogan Ozcan

The UCSC researchers will present the results of a collaborative effort between UCSC, Liquilume Diagnostics Inc., and the groups of infectious disease clinician and virologist Charles Chiu at University of California, San Francisco, and engineer Aaron Hawkins at Brigham Young. While Ozcan's group visually counts individual viruses, Schmidt's counts them by detecting their nucleic acids—the genetic makeup of the viruses. The nucleic acids are labeled with a fluorescent dye, and light from the fluorescence is detected as they pass through a channel in a microfluidic chip about the size of a thumbnail.

Current tests for determining viral load generally rely on a technique called polymerase chain reaction (PCR), which amplifies a small sample of nucleic acid, such as DNA, and makes it easier to detect. "The gold standard for viral load detection is PCR, due to its sensitivity and specificity," Schmidt says, but PCR is limited to merely estimating the number of viruses. In contrast, the new method counts real particles as they pass through the fluorescence detector on the chip. "We have demonstrated actual virus counts of specific nucleic acids in less than 30 minutes with minimal sample workup," Schmidt says. So far, the group has collected reliable data on samples diluted to a point well within the range required for clinical detection.

New single virus detection techniques for faster disease diagnosis
(a) The upper set of panels shows regions of interest from opposite sides of the CMOS chip. Raw lens-free Bayer-pattern RGB images are converted into high-resolution monochrome holograms (via pixel-super-resolution) which are then reconstructed to provide lens-free amplitude and phase images of the nano-particles. (b) This shows lens-free pixel-super-resolution holographic imaging results for individual adenoviruses and influenza A (H1N1) viruses. Note that these lensfree images are digitally cropped. Credit: Aydogan Ozcan

Unlike direct visualization techniques, Schmidt's chip-based method requires that the targeted be labeled. The labeling technique would allow clinicians to target specific viruses while ignoring unlabeled background material. This makes the process potentially useful in situations where clinicians already know what they are looking for – often the case for tests.

The chip is currently housed in an instrument about one foot square, making the device portable. Along with rapid analysis turnaround, this portability should make the technique useful for point-of-treatment tests. In addition to detecting viruses, the device may also find uses as a sensor for cancer biomarkers, for environmental analyses of chemicals, and even in industrial production monitoring.

Explore further: Celebrating 100 years of crystallography

More information: CLEO: 2013 presentation AW1I.6. "High-throughput Imaging of Single Viruses using Self-assembled Nano-lenses and On-Chip Holography" by Aydogan Ozcan will take place Wednesday, June 12 at 12:15 p.m. in the San Jose Convention Center.

CLEO: 2013 presentation CM1M.7. "Clinical Detection of Viral Infection on an Optofluidic Chip" by Philip Measor will take place Monday, June 10 at 9:45 a.m. in the San Jose Convention Center.

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