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Background
Wearable motion tracking technology has the potential to revolutionize injury rehabilitation, sports science, and virtual reality, but widespread adoption has yet to be realized due to limitations of the conventional camera- or accelerometer-based technologies. Current systems are bulky, power-hungry, and require line-of-sight or suffer...
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Background
Electron paramagnetic resonance (EPR) spectroscopy is an essential tool for detecting and analyzing radicals and substances with unpaired electrons, with applications spanning biomedical diagnostics, materials science, and chemical analysis. However, conventional EPR instruments are constrained by their bulky size, high cost, and substantial...
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Background
Current battery management systems, such as those in electric vehicles, grid storage and consumer electronics, can only estimate bulk metrics like capacity and resistance, which miss key degradation mechanisms. While electrochemical impedance spectroscopy (EIS) provides detailed insight into battery health, it requires specialized hardware...
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Background:
Ultrasound elastography, specifically shear wave elastography (SWE), is essential for non-invasive assessment of tissue stiffness, an important biomarker for diagnosing and monitoring diseases such as liver fibrosis, cancer, and ocular conditions. While conventional two-dimensional SWE provides valuable clinical insights, accurately characterizing...
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Background
Quantum transduction technologies are essential for linking quantum systems that operate at different frequencies and physical platforms. Leading quantum processors such as superconducting and spin qubits function in the microwave domain, while long-distance quantum communication relies on low-loss optical photons. Efficient conversion between...
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Market Opportunity
The market for dexterous robotic hands is rapidly expanding, fueled by increasing automation in factories, warehouses, laboratories, and hospitals. These advanced manipulators, which mimic human-like dexterity, are moving beyond simple tasks to tackle complex and dangerous challenges. The shift into unstructured, dynamic environments...
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Background
To unlock the commercial potential of quantum computing, companies must overcome the critical hardware bottlenecks of decoherence and crosstalk which currently limit the reliability of complex algorithms. Decoherence represents a rapid "leakage" of data caused by environmental interference, while crosstalk acts as digital noise...
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Variance-weighted neural similarity analytics delivering noise-corrected, reproducible population spike comparisons.
Abstract
As neural recording systems have expanded in channel density and data complexity, reliably comparing population-level spike activity across trials, sessions, and subjects has remained a significant challenge. Traditional...
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Background
The use of liquid organic hydrogen carriers (LOHCs) for hydrogen storage and transport offers higher volumetric hydrogen densities than compressed gas and utilizes existing liquid fuel infrastructure. Previous attempts of ethanol dehydrogenation give only one equivalent of H2 and form undesirable side reactions.
Technology Description
This...
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Digital pathology
Medical imaging
Diagnostic software
Life sciences tools
Computational imaging
Abstract
USC researchers have developed a software-based imaging technology that improves visualization of hyperspectral autofluorescence data from unstained tissue samples. The technology converts complex spectral datasets into a compact, information-rich...
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