Commercial fiber optic cables are the current standard for carrying optical signals in industries like communications or medical devices. However, the fibers are made of glass, which do not have favorable characteristics for applications that require flexibility and re-routing, e.g. typically brittle, limited selection of materials, dimension constraints.

Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied science, including research in key areas such as advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.

LLNL researchers have developed a high-volume, low-cost diagnostic test that is easy to use and provides results in under an hour. The testing platform will provide emergency responders and other medical professionals with the ability to screen individuals using oral and nasal samples, and obtain results in approximately 30 minutes. This point-of-care testing approach will enable rapid triage…

Clinical images have a wealth of data that are currently untapped by physicians and machine learning (ML) methods alike. Most ML methods require more data than is available to sufficiently train them. In order to obtain all data contained in a clinical image, it is imperative to be able to utilize multimodal, or various types of, data such as tags or identifications, especially where spatial…

Some COVID-19 diagnoses are utilizing computed tomography (CT)-scans for triage. CT-scans produce immediate results with high sensitivity. The digital images produced by a CT-scan require physicians to identify objects within the image to determine the presence of disease. Object identification can be done using machine learning (ML) techniques such as deep learning (DL) to improve speed and…

MimicGAN represents a new generation of methods that can “self-correct” for unseen corruptions in the data out in the field. This is particularly useful for systems that need to be deployed autonomously without needing constant intervention such as Automated Driver Assistance Systems. MimicGAN achieves this by treating every test sample as “corrupt” by default. The goal is to determine (a) the…

LLNL scientists have developed a high-confidence, real-time multiplexed reverse transcriptase PCR (RT-PCR) rule-out assay for foot and mouth disease virus (FMDV). It utilizes RT-PCR to amplify both DNA and RNA viruses in a single assay to detect FMDV as well as rule out other viruses that cause symptoms in livestock indistinguishable from those caused by FMDV, such as Bovine Herpes Virus-1 (…

LLNL researchers have invented a system for identifying all known and unknown pathogenic or non-pathogenic organisms in a sample. This invention takes a complex sample and generates droplets from it. The droplets consist of sub-nanoliter volume reactors which contain the organism sized particles. A lysis device lyses the organisms and releases the nucleic acids. An amplifier then magnifies the…

LLNL researchers have developed a portable device which analyzes one or multiple types of body fluids or gases to test for one or more medical conditions. A bodily fluid (such as blood, perspiration, saliva, breath, or urine) is put into a condenser surface and is then separated into both a primarily gas fluid component and a second one that is primarily liquid. These two samples from the same…

LLNL researchers have developed a method to quickly and accurately identify the family of a virus infecting a vertebrate via PCR. Universal primer sets consisting of short nucleic acid strands of 7 to 30 base pairs in length were created to amplify target sequences of viral DNA or RNA. These primers can amplify certain identifying sequences of all viral genomes sequenced to date as well as…

LLNL scientists have developed a battery-powered device which is low-cost and multi-chambered for the extraction and amplification of nucleic acids from environmental, clinical, and laboratory samples via loop-mediated isothermal amplification (LAMP). This platform identifies pathogenic bacteria and assists in determining the optimal treatment plan. A multi-chamber amplification cartridge in…

LLNL scientists have developed a method to ensure the accuracy of that tomographic image by applying adaptive optics (AO) to OCT in a single instrument (AO-OCT). AO stabilizes the image being captured by the OCT device by utilizing a Hartmann-Shack wavefront sensor and a deformable mirror, a type of mirror designed to compensate for detected waveform abnormalities (such as ones caused by a…

LLNL scientists have created a standalone pathogen identifier that can be placed in public settings, such as in stores or on street corners. Not unlike an ATM in physical size, this kiosk will accept biological samples from an individual for multiplexed analysis. The sample collection process will be sufficiently simple such that anyone could begin the diagnostic process after making the…

LNLL scientists have invented a method for multiplexed detection of PCR amplified products which can be completed in a single step. Highly validated species-specific primer sets are used to simultaneously amplify multiple diagnostic regions unique to each individual pathogen. Resolution of the mix of amplified products is achieved by PCR product hybridization to corresponding probe sequences,…

This LLNL-developed invention is multiplexed and utilizes the Luminex bead-based liquid array, which contains 100 different unique beads. Oligonucleotide probes with sequences complementary to the target sequences are covalently coupled to these unique beads. These capture beads are mixed with viral samples obtained from the patient via cheek swabbing or a throat wash and subjected to PCR in a…

LLNL has developed a new system, called the Segmentation Ensembles System, that provides a simple and general way to fuse high-level and low-level information and leads to a substantial increase in overall performance of digital image analysis. LLNL researchers have demonstrated the effectiveness of the approach on applications ranging from automatic threat detection for airport security, to…

The patented intracranial hematoma detection technology uses Micropower Impulse Radar (MIR). MIR uses short, high frequency electromagnetic pulses to obtain information in a non-invasive manner. Unlike ultrasound and other electromagnetic techniques, MIR can operate well through the skull, which is of great importance for intracerebral as well as epidural and subdural hematomas. The MIR…

Using various excitation wavelengths, a hyperspectral microscope takes advantage of autofluorescence and polarized light scattering from cellular components to obtain composite images that highlight their presence. The light collection efficiency is maximized to achieve image acquisition times and rates suitable for in vivo applications.