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Modular Phantom for the Assessment of Imaging Performance And Dosage in Cone-Beam CT

Researchers at the University of California, Davis and Johns Hopkins University have created a 3D modular phantom for the assessment of imaging performance and dosimetry in cone-beam CT.

Electrically Tunable Fabry-Perot Cavities with Metal-Insulator Transitions in VO2

A hybrid semiconductor-VO2 device that exhibits large, broadband, and continuous tuning of reflection, transmission, and absorption resonances across the infrared spectrum.

Quantitative Multiparametric PET/CT Imaging for Nonalcoholic Fatty Liver Diseases

Researchers at the University of California, Davis have developed a quantitative imaging method to detect and characterize liver inflammation for diagnosing a wide spectrum of nonalcoholic fatty liver diseases (NAFLDs).

Microscopy with UV Surface Excitation for Histology-Grade 3D Tissue Imaging

Researchers at the University of California, Davis have developed a new method of staining thick specimens, during sample cutting, and imaging the block face of the tissue to create histology-grade 3D tissue images.

Pairwise-Learning Framework for Image Quality Assessment

A data-driven, machine-learning approach called the Pairwise-Learning Framework (PLF) that can automatically compute visual error between two images of a given scene in a manner that is consistent with human visual perception.

Label-Free Nanoprobes For Long-Term Imaging Of Organelle Movements In Living Cells

To date, the most widely used technique used to monitor organelle movement in living cells is fluorescent imaging, which requires labelling of organelles. Prior organelle labelling causes disturbance in living cells, which may limit understanding of intracellular organelle movement. Furthermore, conventional fluorescence-based single molecule methods are prone to photobleaching, blinking, and low signal-to-noise ratios.

Multi-Frequency Harmonic Acoustography for Target Identification and Border Detection

UCLA researchers in the Department of Bioengineering, Electrical Engineering, and Head and Neck Surgery have developed a novel ultrasound-based imaging technique that can be used to analyze tumor margins during surgery.

Upconversion Plasmonic Mapping: A Direct Plasmonic Visualization And Spectrometer-Free Sensing Method

Researchers led by Xiangfeng Duan from the Department of Chemistry and Biochemistry at UCLA have developed a cheap and efficient way to map surface plasmon polaritons in order to detect trace amounts of biomolecules.

In-Situ TEM Holder With STM Probe And Optical Fiber

Researchers at UCI have developed a fully integrated sample mount for the simultaneous high-resolution imaging and electronic and optical characterization of thin film devices.

Air Quality Monitoring Using Mobile Microscopy And Machine Learning

UCLA researchers have developed a novel method to monitor air quality using mobile microscopy and machine learning.

Multi-Echo Spin-, Asymmetric Spin-, And Gradient Echo Echoplanar Imaging (Message-EPI) MRI

UCLA researchers in the Department of Radiological Sciences have developed a new MRI pulse sequence optimized for brain imaging.

High Dynamic Range (HDR) Digital Imaging with Neural Networks

Standard digital cameras typically take images with under/overexposed regions because of their sensors’ limited dynamic range. The most common way to capture high dynamic range (HDR) images using these cameras is to take a series of low dynamic range (LDR) images at different exposures and then merge them into an HDR image. Producing a high dynamic range (HDR) image from a set of images with different exposures is a challenging process for dynamic scenes. A category of existing techniques first register the input images to a reference image and then merge the aligned images into an HDR image. However, the artifacts of the registration usually appear as ghosting and tearing in the final HDR images.

Lensfree Tomographic Imaging

UCLA researchers in the Department of Electrical Engineering have developed a system for lens-free tomographic imaging.

Nondestructive System for Quantitative Evaluation of Cartilage Degradation and Regeneration

Researchers at the University of California, Davis, have developed a minimally invasive fluorescence based imaging system for the quantitative detection of cartilage health.

Phase Recovery And Holographic Image Reconstruction Using Neural Networks

UCLA researchers from the Department of Electric Engineering have developed a novel microscopy approach that produces phase and intensity images using a single hologram acquired from a lens-free CMOS system with extremely fast deep neural network training algorithm.

Simple All-in-One UV Waveguide Microscope with Illumination Sectioning for Surface Morphology and Fluorescence Imaging

Researchers at the University of California, Davis have developed an all-in-one microscope combining ultraviolet excitation light with a waveguide directly integrated onto a light microscope stage, capable of providing surface morphology and fluorescence information with minimal sample preparation.

High Frequency Digital Frequency Domain Fluorescence Lifetime Imaging System For Applications On Tissues

The technology is a software/hardware combination designed to enhance sampling rate for frequency domain fluorescence lifetime imaging. Fluorescence lifetime imaging microscopy (FLIM) is a technique that uses signals emitted from fluorescent samples to construct images of those samples in near real time. An advantage to FLIM is its ability to image large fields of view, which makes it an attractive option for dynamical measurements of live biological tissues. The higher sampling rate available using this technology will allow for more information to be gleaned from biological samples, which may have a fluorescence band up to 1 GHz, advancing tissue imaging.

An MR-Compatible System for Motion Emulation

Researchers at UCLA from the Departments of Mechanical Engineering and Radiological Sciences have developed a magnetic resonance (MR) compatible device that can emulate respiratory motion.

A Single-Shot Network Analysis Method For The Characterization Of Opto-Electronic And Electrical Devices And Systems

UCLA researchers in the Department of Electrical Engineering have developed a single-shot network analysis method that can perform both time and frequency domain measurements of non-linear behavior of various optical or electrical devices and systems within significantly reduced test time.

Mobile Phone Based Fluorescence Multi-Well Plate Reader

UCLA researchers have developed a novel mobile phone-based fluorescence multi-well plate reader.

Deep Learning Microscopy

UCLA researchers in the Department of Electrical Engineering have developed a novel microscopy analysis that improves resolution, field-of-view and depth-of-field in optical microscopy images.

Computational Out-Of-Focus Imaging Increases The Space-Bandwidth Product In Lens-Based Coherent Microscopy

UCLA researchers in the Department of Electrical Engineering have developed a wide-field and high-resolution coherent imaging method that uses a stack of out-of-focus images to provide much better utilization of the space-bandwidth product (SBP) of an objective-lens.

Sparsity-Based Multi-Height Phase Recovery In Holographic Microscopy

UCLA researchers in the Department of Electrical Engineering have developed a sparsity-based phase reconstruction technique implemented in wavelet domain to achieve more than 3-fold reduction in the number of holographic measurements for coherent imaging of densely connected samples with minimal impact on the reconstructed image quality.

Automated Reconstruction Of The Cardiac Chambers From MRI

This is a fast, fully automated method to accurately model a patient’s left heart ventricle via machine learning algorithms.

A Process for Rapid, Continuous 3D Printing

Researchers at the University of California, Santa Barbara have developed a new method of continuous 3D printing that now allows complex, multiphase structures to be printed in a single process.

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