Those images will be transmitted to UH, where Roysam's team will run them through a sophisticated and powerful software platform called FARSIGHT, which will analyze the histology, or cellular makeup, of the images. Developed by a collaborative team led by Roysam with the support of the National Institutes of Health, FARSIGHT will translate these images into data that quantifies the response of each individual brain cell and cell type to the implant.
RPI researchers Kristin Bennett and Mark Embrechts will then use advanced pattern recognition software and techniques to identify the factors that cause implants to fail prematurely.
Using this information, they will recommend design changes to researchers in Michigan, restarting the whole process.
Roysam, who joined UH last year after working as professor of electrical, computer and systems engineering and professor of biomedical engineering at RPI, noted that each contributing group is a world leader in its respective field.
"I am blessed with a dream team," he said. "We have pre-eminent leaders in implant design, 3-D multispectral imaging, quantitative histology, and pattern recognition on our team. Ideally, the team will be able to make great strides in the understanding of neural implant failure."
"DARPA has a vision of a future where a soldier who has lost a limb will regain full use of that limb again through advanced technolog
|Contact: Laura Tolley|
University of Houston