Computing the Best High-Resolution 3D Tissue Images
Real-time, 3D microscopic tissue imaging could be a revolution for medical fields such as cancer diagnosis, minimally invasive surgery and ophthalmology. University of Illinois researchers have developed a technique to computationally correct for aberrations in optical tomography, bringing the future of medical imaging into focus. The computational technique could provide faster, less expensive and higher resolution tissue imaging to a broader population of users. The group describes its technique this week in the online early edition of the Proceedings of the National Academy of Sciences. “Computational techniques allow you to go beyond what the optical system can do alone, to ultimately get the best quality images and three-dimensional datasets,” said Steven Adie, a postdoctoral researcher at the Beckman Institute for Advanced Science and Technology at the U. of I. “This would be very useful for real-time imaging applications such as image-guided surgery.”
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