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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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Scale bars, 5 mm (top left), 1 mm (top right and middle left), and 3 mm (bottom left and right).
Background
The field of biomedical sensing has long faced challenges in achieving reliable monitoring of muscle activity within dynamic tissue environments. Conventional microelectrode arrays and surface electrodes often struggle with mechanical instability,...
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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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Spectral Flow Cytometry
High-Parameter Flow Cytometry
Multiplex Immunophenotyping
Single-Cell Analysis
Dimensionality Reduction
Data-Driven Cell Profiling
Abstract
Chimeric Antigen Receptor (CAR) T cell therapy represents a transformative approach in oncology, offering curative potential for patients with relapsed or refractory malignancies....
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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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