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Cardiovascular diseases cause one death every 33 seconds in America. Diagnosing these conditions, which account for approximately 20% of all deaths annually, can be difficult because the overlaying and natural fluorescence of cardiac tissue complicate diagnostic images. A new algorithm, developed by researchers supported by the U.S. National Science Foundation and described in Nature Cardiovascular Research, could lead to clearer images, earlier diagnoses and better outcomes.

“Enhancing visualization of cardiac systems is just one application of this new tool,” said Eric Lyons, a program director in the NSF Directorate for Biological Sciences. “This could also help advance live-cell imaging in other parts of the body, like the brain, and drive insights into fundamental biological processes and systems.”

Current forms of imaging each have drawbacks, being limited by how broad or deep they can visualize, the ability to visualize small scales like molecules or the frame rate of cameras and speed of data acquisition and processing. The algorithm addresses many of these challenges and allows for simultaneous viewing of multiple parameters and measurement of the volume of heart chambers.

The tool uses an approach known as multiscale recursive decomposition, where images are broken down into smaller parts across multiple scales. This allows for the precise extraction of dynamic cardiovascular signals, which could allow physicians and others to diagnose cardiovascular disease earlier and more precisely. Better diagnoses

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Synopsis

Program Mission:

The IUCRC program catalyzes breakthrough pre-competitive research by enabling close and sustained engagement between industry innovators, world-class academic teams, and government agencies.  IUCRCs help industry partners and government agencies connect directly and efficiently with university researchers to achieve three primary objectives: 1) Conduct high-impact research to meet shared and critical industrial needs in companies of all  sizes; 2) Enhance U.S. global leadership in driving innovative technology development, and 3)  Identify, mentor and develop a diverse, highly skilled science and engineering workforce.

Program Overview:

The IUCRC program provides a structure for academic researchers to conduct fundamental, pre-competitive research of shared interest to industry and government organizations. These organizations pay membership fees to a consortium so that they can collectively envision and fund research, with at least 90% of Member funds allocated to the direct costs of these shared research projects.

IUCRCs are formed

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Engineers have developed a real-life Transformer that has the ‘brains’ to morph in midair, allowing the drone-like robot to smoothly roll away and begin its ground operations without pause. The increased agility and robustness of such robots could be particularly useful for commercial delivery systems and robotic explorers.

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