Dr. John Rogers from the University of Illinois at Urbana-Champaign has developed bioresorbable silicon electronics that can be used for real-time sensing of neural...
Dr. John Rogers from the University of Illinois at Urbana-Champaign has developed bioresorbable silicon electronics that can be used for real-time sensing of neural electrical activity. This invention could prevent follow-up neural surgeries, and has potentials for long-term monitoring of patients.
Dr. Andrew Smith from the University of Illinois has developed new quantum dots with a multidentate polymer coating that minimizes size while maintaining stability and...
Dr. Andrew Smith from the University of Illinois has developed new quantum dots with a multidentate polymer coating that minimizes size while maintaining stability and improving efficiency of conjugation. Quantum dots are promising agents for cellular and molecular imaging, but their bulky organic coatings have limited their use in cells. Dr. Smith's quantum dots are small, stable, and can be conjugated to targeting molecules and purified easily.
Dr. Hergenrother from the University of IL has developed a novel antibiotic that is effective against certain antibiotic-resistant gram-negative bacteria. His powerful...
Dr. Hergenrother from the University of IL has developed a novel antibiotic that is effective against certain antibiotic-resistant gram-negative bacteria. His powerful predictive algorithm determines accumulation of molecules in Gram-negative bacteria and enables conversion of known Gram-positive only antibiotics into novel compounds with Gram-negative potency.
Dr. Brad Sutton from the University of Illinois at Urbana-Champaign has developed a fully automated workflow to generate 3D digital heart models directly from MR scans. This workflow can be used by non-experts to create hi-fidelity models of the heart for surgical planning.
Dr. Meng from the University of Illinois has developed a new synthetic compound eye (SCE) gamma camera design where each gamma camera panel consists of a large number...
Dr. Meng from the University of Illinois has developed a new synthetic compound eye (SCE) gamma camera design where each gamma camera panel consists of a large number micro-camera elements (MCE’s). The new deveice has the potential of 10-100 times greater sensitivity over the current commercial devices, while offering a comparable spatial resolution. It could significantly improve the capability of SPECT imaging for many diagnosis applications, such as cardiac and brain imaging.
The super-resolution ultrasound microvessel imaging (SR-UMI) technique offers a promising solution to the challenge of achieving both high imaging resolution and deep...
The super-resolution ultrasound microvessel imaging (SR-UMI) technique offers a promising solution to the challenge of achieving both high imaging resolution and deep penetration in biomedical imaging. By using ultrasound contrast microbubbles and super-resolution strategies similar to PALM and STORM, SR-UMI enhances ultrasound imaging resolution by tenfold while maintaining deep penetration. This technique can resolve capillary-scale blood vessels at depths greater than 10 cm and measure microvascular blood flow speeds as low as 1 mm/s. SR-UMI provides detailed structural and functional information about tissue microvasculature and is noninvasive, low-cost, and free of ionizing radiation. Despite its potential, SR-UMI faces challenges such as slow data acquisition and computationally intensive post-processing, which hinder its clinical translation.
This technology is a method of real-time Super-Resolution Ultrasound Microvessel Imaging (SR-UMI). Current SR-UMI requires hours of data post-processing, making it impractical for clinical, diagnostic applications. Implementing advances in deep learning and parallel computing enabled real-time microbubble signal extraction, separation, localization, tracking, and quantitative analysis and display. This technology has a wide range of clinical applications, including but not limited to, the diagnosis and characterization of a range of disorders (e.g., cancer, cardiovascular disease, and neurological diseases).
