Articles tagged with Laboratory Equipment
Researchers developed a system to monitor pneumonia and genetic diseases by analyzing breath exhaled by patients, revealing a new potential diagnostic tool. The technology uses specialized nanoparticles that release gases when proteases in the body cleave them, allowing for rapid detection of lung health.
Researchers have developed graphene-based sensors that retain adsorbed gas molecule interactions hours after electric field is turned off, enabling long-term molecular identification and 'beyond-sensing' applications.
Researchers develop sensitive optical fiber sensors using D-A based aggregation-induced emission (AIE) molecular rotors and one-dimensional polymer fibers. The sensors respond to ambient humidity rapidly and reversibly with observable chromatic fluorescence change.
Novilytic, a Purdue University-affiliated bio-analytics startup, has received a $1.4 million Phase II SBIR contract to continue developing its Proteometer instrument technology for pharmaceutical antibody manufacturers. The technology allows process chemists and engineers to monitor and control antibody purity in process.
A new coating developed by UBCO researchers can repel nearly all substances off a surface, making cleaning personal protective equipment easier. The two-layer coating maintains its resistance qualities under harsh exposures and can be easily repaired.
A veteran NAU planetary scientist collaborates with UAE and US teams to develop Emirates Mars Infrared Spectrometer (EMIRS), providing a unique view of Martian atmosphere. The Emirates Mars Mission 'Hope' orbiter arrives at Mars in February 2021, collecting images and data for two years.
Researchers have successfully fabricated various sensor and energy systems inspired by butterfly wings, including thermal, medical, and vapor sensors, anti-counterfeit security devices, and photovoltaic systems. These systems demonstrate competitive efficiency and performance to similar systems inspired by other natural species.
A new AI-enabled gut-imaging device called SmartCap is being developed by the University of Saskatchewan to diagnose gastrointestinal cancers and bleeding. With its ability to generate location-specific data, SmartCap aims to improve diagnostic accuracy and potentially double cancer survival rates globally.
Graphene sensors printed with aerosol jet technology can detect histamine in tuna broth down to 3.41 parts per million, exceeding US FDA guidelines for food safety. The technology also has potential applications in environmental toxin detection, wearable health monitoring, and disease diagnostics.
Researchers at NASA Goddard Space Flight Centre have developed intelligent systems capable of identifying geochemical signatures of life from rock samples. The new system, set to debut on the 2022/23 ExoMars mission, will prioritize data transmission over huge distances, overcoming limitations in the search for life on Mars.
Citizen scientist Trygve Prestgard discovers 4,000th comet in SOHO data, part of the Kreutz family of sungrazers. The comet is extremely faint and close to the Sun when discovered, making it impossible to see without a telescope.
Researchers discovered a correlation between needle or sting length and diameter to ensure strength and elasticity in pointed objects. The study's findings have the potential to optimize syringe needle design and reduce material consumption in nail production.
A new project led by Kaitlin Gold aims to develop management strategies for grape downy mildew fungicide resistance in New York state. The team will test non-CAA fungicides and create extension materials for grape growers to mitigate the issue of emerging resistance.
Researchers developed an aerosol-jet printed graphene sensor to detect histamines in food with high sensitivity and rapid response time. The sensor showed a quick response time of 33 minutes without pre-labelling, reducing the need for laboratory testing.
Scientists developed a wearable brain scanner that can scan the entire brain, allowing researchers to track electrophysiological processes involved in mental health problems. The device tracks brain activity with millimetre accuracy, enabling new possibilities for scanning children and epileptic patients.
The University of Maryland School of Medicine's Center for International Health, Education and Biosecurity (Ciheb) received $4 million from the CDC to support COVID-19 response activities in four countries. In Nigeria, a population-based study will estimate COVID-19 prevalence and inform local response efforts.
Researchers at Lawrence Berkeley National Laboratory launch three new projects to quantify and reduce the carbon intensity of agriculture. The projects aim to increase yield while decreasing emissions, making biofuel production more sustainable and profitable for farmers.
Researchers have developed a technology that can detect various fabric deformations, such as stretch, pressure, and torque, using soft fiber-shaped sensors. These sensors operate like transmission lines and measure time intervals to determine deformation location, type, and intensity.
Researchers developed flexible sensor technology to detect fabric deformation, opening doors for smart textiles in clothing, hospital beds and robots. The technology measures time between sent and received signals to determine deformation location, type and intensity.
Purdue University innovators have developed a predictive cost-modeling tool to help manufacturers better understand overall production costs. The software allows users to vary manufacturing processes and study the effects on total costs.
A research paper by Muller outlines a one-step cloning method for isolating single stem cells using an engineered pipet. The method is compliant with regulatory guidelines and efficient, cell- and user-friendly. Access to the June issue of SLAS Technology is available online.
A study by the University of York and Empa shows that retrofitting VW diesel engines with software or hardware updates reduced harmful nitrogen oxides emissions by up to a third. The retrofitting was successful from an environmental point of view, with passenger cars showing significant improvements.
Researchers at the University of Delaware have optimized vehicle dynamics and powertrain operation using connectivity and automation to reduce stop-and-go driving and travel time while ensuring energy efficiency. The algorithms achieved a 30% increase in energy efficiency in real-world testing, surpassing simulation predictions.
Researchers have developed a magnetic field sensor that can be used in both industry and biomedicine, offering high sensitivity and local interaction with magnetic materials. The sensor was patented last year and has the potential for applications in flaw detection and biomedical fields.
A team of engineers has created hardware that can learn skills using a type of AI that currently runs on software platforms. The hardware, made of a quantum material, is capable of learning numbers and demonstrates artificial tree-like memory at room temperature.
University of Utah engineer Massood Tabib-Azar has developed a portable, reusable test for COVID-19 that works with cellphones. The sensor uses just a drop of saliva and can produce results in a minute, and is designed to be reused multiple times by destroying the previous sample.
The OpenFlexure Microscope is a fully automated, laboratory-grade instrument that can be 3D printed for as little as $18. It features motorised sample positioning and focus control, producing high-quality images.
Research shows that software vulnerabilities are more likely to be discussed on social media before being reported on official databases, highlighting the potential for early warning systems. The study also found that nearly all commercial codebases contain at least one vulnerability, with an average of 64 vulnerabilities per codebase.
VoroCrust generates accurate digital representations of complex objects using Voronoi-cell meshes that conform to models without needing manual fixes. This software could save scientists hours of work and improve the efficiency of simulations for aerospace and other industries.
Researchers at Empa developed an optical biosensor that can quickly detect SARS-CoV-2 in the environment. The sensor combines two effects to identify the virus safely and reliably, using gold nanoislands and LSPR technology.
Nathan Burtch is creating an open laboratory manual for quantitative methods courses in geography, addressing a long-standing need for resources. The manual will utilize statistics to solve real-world geographical problems and be available to instructors across Virginia and beyond.
Researchers at the University of Arizona are using quantum entanglement to detect radio frequencies with unprecedented sensitivity and accuracy. By combining RF photonics sensing and quantum metrology, they've created a technology that can improve GPS systems, astronomy labs, and biomedical imaging capabilities.
The new camera detects single photons at unprecedented speeds, enabling fast acquisition of 3D images. It can acquire images at up to 24,000 frames per second, making it suitable for applications such as virtual reality and LiDAR systems.
Researchers at SMART and MIT developed nanosensors to study plant communication, providing insights for crop yields. The technology can be applied to all types of plants and offers valuable data on plant stress responses.
Researchers identify first known bacteria-derived sensor for detecting progesterone, a female hormone that plays a critical role in reproduction. The sensor's reversibility allows it to generate continuous measurements, making it suitable for home use and potentially transforming telemedicine.
A team of scientists has developed a new 2D catalyst that can improve the efficiency of water purification using hydrogen peroxide. The catalyst, composed of two co-catalysts on one nanosheet, was designed to increase the efficiency of the process without additional chemical treatment.
Researchers developed photodetectors using graphene layers with varying proportions of black phosphorus and arsenic, achieving lower dark currents and high photosensitivity. These sensors can enhance the performance of infrared telescopes and replace existing detectors, benefiting various scientific and technological applications.
Scientists have developed a novel way to manipulate complex oxide materials by creating super-thin, flexible membranes and applying gentle heat to melt glue. This technique allowed them to stretch the material up to 8% and flip its electronic states from insulator to conductor and back again.
Skoltech scientists developed sensitive sensors based on cobalt oxide nanoflakes to detect various alcohols, including toxic methanol. The new technology enables quick and accurate tests for safe air quality, applicable to medical diagnostics and ambient air monitoring.
The Virtual Environment for Reactor Applications (VERA) software suite has been licensed commercially for the first time, with the Electric Power Research Institute (EPRI) as its first commercial licensee. VERA provides advanced modeling and simulation capabilities to improve nuclear reactor performance and safety.
Researchers propose a new method for measuring large areas by synchronizing chaotic oscillators, enabling accurate and robust measurements without requiring individual sensor interrogation. The approach allows for spatial averaging and harvesting information from nodes through gentle stimulation with an exciter signal.
The Organs-on-Chips platform provides human-relevant disease modeling and studies to gain insights related to new drug modalities and disease mechanisms. Researchers can use the platform to assess safety risks and make informed decisions throughout the drug discovery and development process.
The Spiral Graph project uses a tracing method to accurately measure the winding of spiral galaxies' arms. This approach outperforms automated methods and can estimate parameters like black hole mass and dark matter content. By enlisting citizen scientists, researchers aim to better understand galaxy evolution.
Researchers have developed a novel approach for quantum error correction that can mitigate certain types of random fluctuations, enabling the creation of more efficient quantum computers and sensors. By targeting specific noise sources, this method could significantly improve the performance of quantum systems.
Environmental engineers at San Diego State University have developed a rapid detection system for bacterial contamination in water, which can alert authorities to pollution in real-time. The system uses tryptophan as a marker and has been tested in Alvarado Creek, where it correctly identified sewage leaks and spills.
A virtual reality test has shown promise in detecting balance problems in people with multiple sclerosis (MS), which can lead to falls and related injuries. The test uses a VR system to simulate falling while walking, triggering corrective reactions that can be measured as changes in gait and foot placement.
Researchers used headband-mounted sensors on soccer players to collect data, which was confirmed by video analysis. The study found 60% of recorded events were false positives and highlighted the importance of video verification for reliable injury prevention strategies.
Sandia National Laboratories has received funding to develop a patient-friendly brain imager that uses quantum sensors for more accurate and accessible measurements. The new system aims to enable people with chronic pain and motor disorders to participate in MEG scans, improving the accuracy of diagnoses.
Researchers successfully tested a new magnetic micro wire-based concept for 'smart' composite production, creating multiferroic-class materials with controlled magnetic and electric properties. The new composites are expected to enable the development of highly sensitive sensors for health monitoring devices.
Researchers developed a digital holography method for assessing composite materials' quality, particularly ceramic spraying materials. This technique allows for precise analysis without distorting results or requiring sensor installation.
CurveBoards enable easier testing of circuit functions and user interactions with products like smart devices and flexible electronics. The custom-designed objects merge form and function testing in early prototyping stages, improving the overall prototyping experience.
Researchers used X-ray free-electron lasers to study the structural changes in polycrystalline gold thin films during laser-induced melting. The findings suggest that melting occurs preferentially at grain boundaries, resulting in a non-uniform process.
Researchers developed a pill-sized 'heater' that regulates temperature of biological samples through different stages of diagnostic testing, increasing accuracy and accessibility. The device can be used in various settings to detect viruses without electricity, reducing the need for specialized training and costly lab equipment.
A team of researchers used a computerized particle analyzer to count weed seeds with high accuracy. The technology can process 2,000-2,500 seeds in just three minutes, significantly reducing the time required for seed counting.
Scientists have developed a new technique to manipulate the spectral width and shape of mode-locked femtosecond pulses in real-time. The time-stretch-assisted spectral analysis uses a genetic algorithm and dispersion medium to achieve precise control over pulse characteristics.
Researchers at MIT have developed a low-cost, disposable smart diaper that uses RFID technology to alert caregivers when a baby is wet. The sensor detects moisture and sends a signal to a nearby receiver, which can send a notification to a smartphone or computer.
Researchers developed AppStreamer software that streams data and code resources to apps from cloud servers when necessary, cutting down storage requirements by at least 85% for popular gaming apps. The software allows apps to use only the space they need on a phone, providing faster downloads and improved performance.
Engineers have developed a new system that combines fast neutrons and gamma rays to detect corrosion in oil and gas pipelines. The technology mimics the natural world's use of ultrasound waves by bats to detect objects, enabling real-time detection of pipeline flaws.
The Mobile Source Transit Security (MSTS) system is a first line of defense against radiological terrorism, providing situational awareness and security for mobile radiological materials. Developed by PNNL, the system consists of detection devices and radiofrequency tags to track radiological material.
Researchers at the University of Ottawa offer a unique tool to accelerate nanopore research development, making it more accessible and affordable. The innovative approach enables fast, low-cost, and automated fabrication of solid-state nanopores, which hold promise for various applications in medicine, IT, and life sciences.