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System For Fast Multi-Photon Imaging Using Spectrally Diffracted Excitation

UCLA researchers in the Department of Electrical Engineering have developed a new system for fast multi-photon imaging using spectrally diffracted excitation.

Chronoprints: Identifying Adulterated Samples in Food and Drug Safety

Prof. Will Grover and his colleague at the University of California have developed a method to identify adulterated drugs and foods by observing how they behave when disturbed by temperature changes or other causes. Images of the sample’s behavior as it freezes over time are captured and processed into chronoprints.  Chronoprints are fundamentally bitmap images of samples on a computer, and it is possible to leverage existing image analysis and comparison techniques that have been already developed to analyze Chronoprints. Fig. 1 Producing a "chronological fingerprint" or chronoprint capturing how six samples (in this example, authentic and adulterated samples of an over-the-counter liquid cold medicine) respond to a perturbation over space and time (in this case, a rapidly changing temperature gradient). (A) A microfluidic thermometer chip containing the samples is partially immersed in liquid nitrogen to establish a rapidly changing temperature gradient along the chip. (B) The chip contains six samples (red) loaded in microfluidic channels that run parallel to the dynamic temperature gradient. (C) An inexpensive USB microscope records a video of the physical changes in the samples as they react to the dynamic temperature gradient.  Fig. 2 By reducing each channel image to a single column of pixels, and then placing these columns side-by-side, we create a bitmap image (the sample’s chronoprint) that captures how the sample changes over space (the y-axis) and time (the x-axis). Finally, by comparing the chronoprints of all six samples in the chip, we can determine whether the samples are either likely the same or definitely different.  

Method for Concentration and Formulation of Radiopharmaceuticals

Researchers at the UCLA Department of Medical and Molecular Pharmacology have developed a compact microfluidic device that is able to achieve rapid concentration and/or reformulation of PET tracers after HPLC purification.

A Method For Digital Pathology Using Augmented Reality

UCLA researchers in the Departments of Electrical Engineering and Computer Engineering have developed a novel method for automated image analysis of digital pathology slides.

An On-Bed Monitoring System For Rehabilitative Exercises

UCLA researchers have developed a novel method for monitoring rehabilitative exercises using a bed sheet with high-density pressure sensors.

Use of a Radiation Detector that Combines Virtual Frisch Grid and Cerenkov Readouts

Researchers at the University of California, Davis have developed a radiation detector for high energy photons that employs a transparent semiconductor with a high index of refraction to combine benefits of Virtual Frisch Grid devices and the readout of Cerenkov light.


Hyperspectral imaging is a technique combining imaging and spectroscopy resulting in images with extraordinary precision and detail. Current approaches to capture hyperspectral images are costly and time-consuming. The proposed technique makes use of inexpensive filters and reduces the number of required exposures, thereby improving the efficiency and practicability of obtaining hyperspectral images.

Incorporation of Mathematical Constraints in Methods for Dose Reduction and Image Enhancement in Tomography

UCLA researchers have developed an algorithm that enables construction of 3D images from tomographic data through iterative methods with the incorporation of mathematical constraints. This methodology is an improvement over conventional techniques as it allows for radiation dose reduction and improved resolution.

Dicom/Pacs Compression Techniques

Researchers led by Xiao Hu from the Department of Surgery at UCLA have created a novel and convenient way to compress and query medical images from a PACS system.

A New Format For Representing And Encoding Images

Researchers in the Statistics and Computer Science Departments at UCLA have developed a method for image compression that is 5x more efficient than JPEG image coding.

Method to Reuse Multielectrode Arrays in Rodents

Researchers at the University of California have developed a protocol to enable the reuse of MEA probes.  Using this protocol, the MEA probes can be carefully peeled off undamaged from a protective layer, cleaned with ethanol and stored for re-use.  In addition, at each reuse the measured electrode impedances remain within the normal range set by the manufacturer for every channel and the probes may be reused up to six times.  This protocol is an improvement over the existing published protocols in that (1) these particular MEA electrodes are available commercially in a variety of configurations; (2) the MEA can be reused a number of times in order to record EEG in freely moving mice. Fig. 2 Setup of MEA EEG that allowed for enhanced reusability.

Deep Learning Enhanced Mobile-Phone Microscopy

UCLA researchers in the Department of Electrical Engineering have developed an enhancement method via deep learning that improves the quality of images from mobile-phone microscopes.

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.

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).

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.

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.

Detection Of Superabsorbent (SAP) Quantity in Disposable Hygiene Products during Fabrication Process with Terahertz Imaging Techniques

UCLA researchers in the Department of Electrical Engineering have invented a novel imaging device capable of determining the amount of superabsorbent polymers (SAPs) in hygiene products.

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.

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