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Researchers seek to discover what really happens when a virus enters the body

stem using the electrical engineering concepts of signal and image processing. As Duca, a biophysicist, introduces viruses into cells in a laboratory dish, she infects only the cell's center. Then, she and Bell, who is also currently associated with VBI as one of its faculty fellows, study the response as the virus moves outward. Their method differs from conventional laboratory studies of viruses that generally involve infecting the entire dish at once.

As the virus moves out from the center in its attempt to infect other healthy cells, Duca identifies and stains relevant markers from the virus and the host. Under ultraviolet lighting, the chemical stains become fluorescent, allowing Bell and Duca to capture images of the laboratory dish at regular time intervals as the infection progresses. The images then provide Bell and Duca with information about innate immune responses to viruses.

Using the NIH support of almost $400,000, Bell plans to next remove the noise from these low-resolution images, creating what she calls a clean immuno-fluorescent intensity signal. The noise she refers to is not audible to the human ear. From an electrical engineering standpoint, noise in this example includes the spurious artifacts that appear in the image due to the microscope's uneven source illumination. Noise can also result from the spectral overlap of the fluorescent markers that Duca uses.

Also, since the microscope cannot capture the entire laboratory dish at once, multiple sub-images must be taken quickly, then reassembled in the proper matrix. The "montage" artifact arises from the microscope's uneven illumination, which is brighter in the center and dissipates nearer the edges of the dish for each sub-image.

To compensate for this artifact or noise, Bell's lab has developed "a method to remove the grid created by assembling the montage of sub-images. Our method ?based on a model we developed that reflects the physics of fluorescent mic
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Source:Virginia Tech


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