A non-invasive imaging system utilizing fluorescence lifetime microscopy and Fourier-transformed phasor analysis to objectively determine embryo viability.

A novel imaging technology that uses acoustic signals induced by pulsed electric fields for real-time, in situ monitoring of electroporation cancer ablation therapy.

Researchers at the University of California, Davis have developed a machine learning-based platform for early, accurate, and efficient detection of endothelial disease from corneal images assessment.

Researchers at the University of California, Davis have developed a technique to precisely determine the boundary of melanoma tumors, in order to improve surgical outcomes through more accurate surgical planning and tissue preservation.

This technology introduces systems and methods for volumetric optical coherence tomography (OCT) using a handheld probe that passively scans the targeted tissue. Compared to active scanning OCT this allows a larger and more flexible field of view and eliminates the need for active scanning element. Unlike conventional passive OCT probes that only produce 2D cross-sectional images, this innovation reconstructs high-quality 3D volumetric images by assembling A-line data based on speckle decorrelation. This approach allows capturing high resolution volumes without needing any external motion-tracking systems, providing clinicians with detailed spatial information about tissue depth and lateral extent.

A minimally invasive method for selectively cooling the brain to prevent injury while avoiding complications of whole-body hypothermia.

Researchers at the University of California, Davis have developed a noninvasive optical technology that simultaneously measures fetal oxygen saturation and blood flow during labor through advanced interferometric spectroscopy.

Researchers at the University of California, Davis have developed a fan-pattern paper phantom enabling continuous and reconstruction-agnostic evaluation of PET spatial resolution under clinical and AI-based reconstruction conditions.

Researchers at the University of California, Davis have developed a radiotherapy device that integrates ultra-high magnetic fields with high-energy X-ray beams to precisely target tumors while minimizing radiation exposure to healthy tissue.

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Researchers at the University of California, Davis have developed a hybrid system combining Fluorescence Lifetime Imaging (FLIM) and Interferometric Near-Infrared Spectroscopy (iNIRS) within a single optical probe for advanced, multimodal tissue analysis.

Researchers at the University of California, Davis have developed a compact intraoperative sensing solution that helps clinicians identify cancerous tissue during minimally invasive procedures. The technology provides directional insight into the presence of approved molecular imaging tracers during surgery, addressing limitations of existing bulky or surface-limited tools. By offering intuitive, real-time guidance without disrupting surgical workflow, the approach supports more precise and confident tissue removal.

Researchers at the University of California, Davis have developed a compact system for directional detection of gamma rays and X‑rays without relying on heavy mechanical collimators. The approach improves the ability to localize radiation sources while reducing size, weight, and operational complexity compared to conventional solutions. The technology supports faster, more flexible use in clinical and industrial environments where directional radiation information is valuable.

Comprehensive radiation detection across the spectral range requires distinct systems for ionizing and non-ionizing imaging because each technology faces unique architectural hurdles. Modern visible light detection has successfully transitioned from passive plates to digital Active Pixel Sensors (APS) by leveraging Complementary Metal-Oxide-Semiconductor (CMOS) technology to provide every pixel with its own dedicated amplifier and active circuitry. Ionizing radiation detection like X-ray and gamma-ray has relied on exotic scintillators to convert radiation into light, a process prone to lateral light scattering and degraded spatial resolution. Recent advancements in ionizing radiation have shifted toward direct conversion materials like amorphous selenium (a-Se), which transform X-rays directly into electrical charges. However, these direct-conversion devices do not scale to larger areas without significant noise being a factor. This is primarily due to thin-film transistor (TFT) backplanes which, unlike their CMOS counterparts, lack the local amplification necessary to maintain a high signal-to-noise ratio.

A novel non-invasive therapy combining pulsed laser and dual-frequency ultrasound for rapid and precise treatment of port-wine stains.

Quantum‑correlated photon imaging experiments first used pairs of entangled photons so that an image was recovered only from correlations between the two detection paths rather than from either beam alone. Similar correlation and entanglement ideas have been attempted for higher energies and to positron‑annihilation photons, motivating quantum‑based Positron Emission Tomography (PET) concepts in which the additional quantum information carried by annihilation photon pairs could enhance image quality or add new types of contrast beyond conventional PET. In parallel, quantum‑inspired transmission imaging has been proposed as an alternative to Computed Tomography (CT), which today relies on a well‑characterized but fundamentally stochastic X‑ray source, and is limited by Poisson photon statistics, dose requirements, and capped contrast for soft‑tissue. Traditional X‑ray and CT imaging are governed by Poisson statistics, where independent, random photon arrivals make the variance equal to the mean, and has fundamentally bound SNR for a given dose. Research on quantum‑correlated transmission schemes has looked at image formation with higher‑order correlations between photons (rather than simple independent counting) such that performance is no longer capped by standard Poisson statistics, which can in principle lead to superior SNR and sharper anatomical detail at a given dose. To date, quantum‑based X‑ray implementations of this idea have largely relied on spontaneous parametric down‑conversion (SPDC) to generate entangled or correlated photon pairs, but SPDC at X‑ray‑level energies has extremely low conversion efficiency and pair rates—often only a few pairs per second—rendering such medical or biological imaging impractical. Quantum correlation of Annihilation Photon Imaging (QAPI) brings the correlation concepts into a PET‑like regime by using positron annihilation as a bright source of 511 keV gamma‑ray pairs while assuming a transmission‑imaging role similar to CT. QAPI is designed to exploit the strengths of both worlds: unlike CT, it can count the incident annihilation photons via the idler channel and operate in a high‑transmission regime that permits binomial transmission statistics. The PET‑like 511 keV photons introduce challenges that do not exist for CT, including low interaction probability in tissue and detectors, reduced single‑photon detection efficiency, and the need for precise coincidence timing between the signal and idler counts. For any high‑energy, photon-based imaging, including emerging quantum schemes, there is a fundamental tension between dose (especially for biological tissues that are highly susceptible to damage, cell death, or mutation when exposed to ionizing radiation) and the photon statistics needed for adequate SNR. Moreover, the dose‑normalized performance for quantum approaches is still not well established.

Researchers at the University of California, Davis have developed a machine learning system for accurately separating fetal signals from mixed maternal-fetal photoplethysmography signals acquired non-invasively to enable fetal physiological parameter monitoring.

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Researchers at the University of California, Davis have developed a machine learning system that accurately detects and estimates retinal inflammation severity in uveitis patients using non-invasive OCT B-scan images.

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