Articles tagged with Laboratory Equipment
A new biosensor attached to a phone can detect arsenic levels in water, revealing a potential solution for contaminated drinking water sources. The device uses bacteria to generate easy-to-interpret patterns, providing an urgent need for simple and affordable monitoring tools.
A research team at the University of Illinois developed a Stackelberg feedback solution to counter jamming signals, enabling more reliable communication in critical systems. The approach involves coordinated actions among sensor, encoder, and decoder units to minimize errors caused by jamming.
The new cellulose-based material measures all three parameters independently, making it suitable for applications such as robotics, healthcare, and security. The sensor utilizes thermoelectric effect and distinguishes between electron and ion responses to measure temperature and humidity levels.
Researchers at Saarland University have developed a free open-source software tool called Dave, which enables the rapid evaluation of signals, pattern recognition, and data visualization for large sensor datasets. The tool uses machine learning methodologies to identify patterns quickly and evaluate data cleanly.
Researchers predict widespread adoption of magnetoresistive sensors in biomedicine for genetic disease detection and treatment, as well as in flexible electronics and human-computer interaction systems. By 2030, these sensors may enable wearable devices, smart homes, and autonomous vehicles with high accuracy and low power consumption.
An international research team has developed an open-source solution for multiparametric optical mapping of the heart's electrical activity. The technique tracks both electrical excitation and intracellular calcium dynamics, enabling a deeper understanding of cardiac arrhythmias.
Researchers have developed a simple method called chronoprinting that can detect counterfeit medicines and food products. By analyzing how samples change over time, chronoprinting uses image analysis algorithms to distinguish pure from adulterated substances.
The Marine Biological Laboratory (MBL) has received a $17 million award from the Chan Zuckerberg Initiative to fund a new imaging scientist. This funding will support the development of new imaging technologies and drive biological discoveries.
Researchers at UCF developed a rapid sensor to detect dopamine levels in blood, which can help diagnose brain disorders such as Parkinson's disease and depression. The sensor requires only a few drops of blood and provides results in minutes, revolutionizing current detection methods.
Researchers at the University of Cincinnati have created a continuous-monitoring device that tests sweat as effectively as blood, providing data over time to track health trends. This breakthrough technology holds promise for noninvasive testing and personalized care, paving the way for more accurate diagnosis and treatment.
The UMass Lowell team will explore new ways of sharing data across different organizations compliant with HIPAA, enabling efficient collaboration among patients, researchers, and practitioners. The project aims to develop a secure cyberinfrastructure that can handle sensitive data, including homeland security and counterterrorism.
A new study from Northwestern Medicine and the Kellogg School of Management found that women principal investigators received an average grant amount of $126,615 compared to $165,721 for men. Despite equal backgrounds, women face a significant funding disadvantage that can impact their career advancement.
Researchers at Oak Ridge National Laboratory are developing techniques to combat antibiotic-resistant bacteria using neutron scattering, while also studying the impact of higher CO2 levels on tree growth in temperate forests. These findings could lead to improved antibiotics and better climate modeling.
Researchers from ITMO University create sensors that can detect and analyze nano-objects using inkjet printing technology. The sensors work by measuring changes in color caused by the attachment of nanoscale objects to a transparent film.
A new software tool, Whetstone, sharpens artificial neurons, enabling neural computer networks to process information up to 100 times more efficiently than current industry standards. The tool is expected to increase AI penetration in mobile phones, self-driving cars, and automated image interpretation.
A team of researchers at the University of California, Riverside, has developed a method to reconstruct what a researcher is doing with a DNA synthesizer by recording its sounds. The technique uses machine learning algorithms to identify patterns in the sound signals and can detect the type of DNA being produced with high accuracy.
A new system, Shenango, developed by MIT researchers improves data center efficiency by detecting struggling apps and allocating idle cores to handle their workload. The system reduces tail latencies while achieving high efficiencies, potentially boosting CPU utilization rates from 60% to 100%.
Researchers at Oak Ridge National Laboratory have developed a novel crystallization method to capture carbon dioxide directly from the air using neutron scattering. Additionally, geospatial scientists have created a classification model that can quickly collect and store large amounts of data from social media platforms to detect power...
Researchers have developed an innovative new software that measures electrical activity in the heart, which may help identify potentially lethal arrhythmia. The open-source ElectroMap software can detect, map, and analyze arrhythmic phenomena for various data types, leading to a deeper understanding of heart diseases.
Eco-friendly 3D printed cellulose sensors can wirelessly transmit data and be disposed without contaminating the environment. The development will advance green electronics by replacing hazardous plastics with sustainable materials, making recycling of metal components easier.
The 5TONIC MANO platform enables industry partners to deploy trials and experiments across multiple sites in a functional production-like NFV environment. The platform is designed using open-source technologies and has made contributions to EU-backed 5G projects and the OSM community.
The Sensor Fish technology analyzes physical stressors experienced by fish passing through turbulent waters and turbines at hydroelectric facilities. Licensing to ATS enables dam operators and researchers to gather accurate measurements, improving sustainability.
Research by neurobiologists at the University of Würzburg reveals that high-intensity light extends sleep duration and delays evening activity in Drosophila. The study's findings suggest a molecular mechanism involving photo receptors and neuropeptides that regulate the circadian clock.
The latest version of Hussar software simulates the interaction of ultra-short laser pulses with unprecedented accuracy and speed. It allows researchers to model non-collinear beam intersections, enabling the design of innovative optical experiments and devices.
Researchers use airborne digital holography to confirm that water droplets cluster inside clouds, which can affect precipitation and cloud lifetime. The study's findings improve the general knowledge of clouds and their effects on the planet.
A low-cost, non-enzymatic phenol sensor has been developed using a Ni/MWCNT electrode material, exhibiting high sensitivity, good selectivity, and stability. The sensor's potential application lies in detecting phenol in discharged wastewater, where it can provide real-time monitoring and fast response.
A 'friendly' EMP generator has been used to test various electronic devices, including military equipment and civilian products, for their ability to withstand an electromagnetic pulse. Preliminary results show that some devices can be protected with additional shielding.
The Chan Zuckerberg Initiative is funding open-source software projects to improve image analysis and visualization in biomedicine. The projects will focus on developing and maintaining tools such as scikit-image, ImageJ, and CellProfiler to accelerate basic research and benefit the entire field.
Researchers at Argonne National Laboratory are developing a machine learning-based framework called BLAST to accelerate and simplify materials modeling and simulation. This software will enable companies to quickly perform molecular dynamics simulations needed for new material vetting, with applications in polymers and steel alloys.
Researchers developed AI technology to identify small leaks in water pipes by analyzing acoustic signatures recorded by hydrophone sensors. This allows cities to proactively address issues before they become major problems.
Researchers developed a stick-on sensor that measures vital signs to help first responders quickly triage, treat, and transport injured patients. The VitalTag system provides real-time monitoring of blood pressure, heart rate, respiration rate, and other metrics, enabling improved situational awareness and resource management.
A new stamp-sized sensor can detect trace amounts of sarin within minutes, allowing for early treatment and preventing permanent damage. The technology uses a 'chemical black hole' to attract negatively charged fluoride ions, which are easy to detect electrochemically.
Argonne researchers develop HyMag magnets increasing electric motor efficiency; Darshan software optimizes scientific data access; GRID-M provides near-real-time disaster supply chain status; Swift/T enables large-scale supercomputer calculations. These technologies have been recognized for their impact on various industries and fields
Researchers have developed a wireless system that leverages RFID tags on billions of products to sense potential food contamination. The system, called RFIQ, includes a reader that detects minute changes in wireless signals emitted from RFID tags when they interact with food.
The US Department of Energy has awarded a subcontract to GE Hitachi Nuclear Energy to support the conceptual design and cost/schedule estimate activities for a proposed fast spectrum Versatile Test Reactor. The reactor is crucial for developing innovative nuclear fuels, materials, instrumentation, and sensors.
The EPSRC has announced a £8 million capital investment in research equipment for 36 UK universities, supporting Early Career Researchers and enhancing their career development prospects. The institutions will use the funds to acquire specific equipment, host internal competitions, or invest in targeted groups or individuals.
The University of Texas at San Antonio has received a $500,000 NSF grant to develop a machine-learning algorithm that can recognize and unmask malicious software. This technology will also categorize the large number of malware in the wild, estimated to be over 669,000 in 2017.
The Oak Ridge National Laboratory's Eclipse Integrated Computational Environment (ICE) simplifies complex simulations by providing a comprehensive suite of scientific computing tools. Researchers can define problems, run simulations locally or remotely, and analyze results using a user-friendly interface.
The TORUS project aims to collect high-resolution data from within severe storms to improve forecasting for tornadoes and severe storms. The research goal is to improve the conceptual model of supercell thunderstorms by exposing hidden structures that lead to tornado formation.
Researchers are developing portable sensors that can detect toxic metals like manganese in a single drop of blood. The sensors will enable faster and cheaper research as well as rapid detection of neurotoxins affecting cognitive development and neuromotor function.
A team of researchers successfully recorded environmental data using a wireless photonic sensor resonator with a whispering-gallery-mode architecture, mapping temperature distribution on a drone and recording real-time air temperature data. The findings demonstrate the potential applications of miniature sensors in IoT.
A team of researchers from the Moscow Institute of Physics and Technology has developed a model for predicting hand movement trajectories based on electrocorticogram data. This technology could enable exoskeletons that allow patients with impaired mobility to regain movement.
A global study standardizes FRET measurement technology to pinpoint molecular distances at the nanoscale. This breakthrough enhances understanding of molecular machines and processes that underpin life.
Scientists at U.S. Army Research Laboratory and Johns Hopkins University Applied Physics Laboratory develop software to analyze a robot's ability to self-right from any overturned orientation. The team evaluates the Advanced Explosive Ordnance Disposal Robotic System and determines it can right itself on level ground regardless of its ...
Researchers developed a software program that uses an avatar to predict energy expenditure during walking, considering parameters like stride length and foot lift. The tool has potential applications in designing custom exoskeletons and prosthetics to reduce user effort and optimize calorie burn.
Researchers at the University of Delaware developed flexible carbon nanotube composite coatings on various fibers, enabling the measurement of a wide range of pressure. The technology has potential applications in smart garments, sports medicine, post-surgical recovery, and assessing movement disorders in pediatric populations.
A multidisciplinary team of scientists from OIST has developed a novel tool to monitor biofilm growth, allowing for more efficient testing of replacement antibiotics. By using nanostructured chips and localized surface plasmon resonance, the researchers can observe bacterial cells growing without disrupting their test subjects.
MIT researchers developed novel optics that capture images based on the timing of reflecting light inside the optics. This allows for new capabilities in time- or depth-sensitive cameras, such as capturing a trillion-frame-per-second video. The new optics architecture includes semireflective parallel mirrors that reduce focal length by...
Researchers create a 'smart bandage' that wirelessly monitors heart signals, brain activity, eye movements, respiration, skin temperature, and body motion. The device can also be used to remotely control a robotic arm and lasts for over six months without performance drop.
Researchers discovered a security hole in popular encryption software that could have allowed hackers to steal encryption keys from smartphones by intercepting electromagnetic signals. A fix for the vulnerability was adopted in software versions made available in May.
Researchers at Sandia National Laboratories have developed large supercrystals that can detect chemicals with improved sensitivity, like a dog's nose. The cost-effective sensors use only 0.012 grams of gold, making them a promising technology for security applications.
A study led by LMU researchers confirms the presence of magnetic particles in human brains, with striking asymmetry in their distribution. The particles were primarily found in the cerebellum and brainstem, but their chemical nature remains unknown.
Researchers at UConn and UTRC developed 'smart' machine components that alert users to damage and wear using advanced additive manufacturing technology. The components use semisolid metal ink to create conductive silver filament lines that act as wear sensors, detecting damage in real-time.
A Stanford University team has created a stretchy patch that measures cortisol levels in sweat, offering non-invasive and continuous monitoring of physiological conditions. The device, which uses a membrane bound to cortisol, detects charged ions in sweat and provides results in seconds.
Researchers at Ohio State University discovered that solos are twice as likely to appear in sad songs, with legato articulation and quiet dynamics being key predictors of this occurrence. This finding provides insight into the creative choices composers make when crafting emotional music.
A new software has been developed to automate the identification of dendritic spines in brain cells using machine learning. The software can identify spines with over 90% accuracy and is designed to be fast, scalable, and easy to use.
Researchers equip a US bridge with sensors that can detect cracks and alert maintenance engineers, increasing supervision of critical areas and extending structure lifetimes. The system uses Comparative Vacuum Monitoring sensors that can detect tiny cracks smaller than the thickness of a dime.
Tropical Storm Emilia is intensifying due to strong uplift, as indicated by NASA infrared satellite imagery showing very cold cloud top temperatures. The storm strengthened over the past two days, with maximum sustained winds near 60 mph and higher gusts.
Researchers recorded atomic-level details of gold melting after laser heating, gaining clues for designing materials that can withstand extreme temperatures and radiation. The study's findings have potential applications in fusion power reactors, steel processing plants, and spacecraft.
The study investigates KAPS surveys' use in Nepal's development, highlighting potential 'epistemic pollution.' It suggests neoliberal values have led to research serving solely instrumental and ritualistic purposes.