Articles tagged with Sensors
A multidisciplinary team of scientists conducted a comprehensive study to understand the sources and sinks of plastic debris in the Southern North Sea. Local citizen scientists played a crucial role in tracking the distribution pathways of plastic particles, revealing that two-thirds were washed ashore within 25km of their release site.
Scientists have developed a multi-layer, thin film sensor that automatically realigns during healing, mimicking human skin's layered structure. The material, comprising PPG and PDMS polymers, can self-heal and restore functionality without human input or effort.
Researchers developed a novel endoscopic imaging system with a bioinspired sensor that can detect multiple fluorescent probes, enabling more accurate fluorescence-guided cancer surgery. The system showed improved spatial resolution and sensitivity in detecting tumors, paving the way for the adoption of multi-tracer FGS.
Researchers developed a fully knitted, circuit-embedded knee wearable for wireless sensing of joint motion in real-time. The wearable overcomes limitations of typical wearable sensors by using a single fabric with high stretchability and sensitivity.
Researchers aim to understand and utilize quasiparticles called excitons, which can transport energy without a net electric charge. The goal is to design energy-efficient systems that detect and emit light across a wide range of frequencies.
Researchers developed an affordable, stretchable, and waterproof sensor using graphite material from pencils to monitor gas molecules, temperature, and electrical physiological signals. The device has the potential for public health applications, including collecting data on population health variation between geographic locations.
The NUS team's light field sensor has a larger angular measurement range, high angular resolution and wider spectral response range, enabling higher depth resolution. It can capture 3D images of objects placed far away with accurate reconstructions of depth and dimension.
Researchers engineered bacteria to visually record environment using swarm patterns and deep learning. The system can detect pollutants and toxic compounds in the environment, enabling a low-cost detection and recording system.
Researchers at Harvard Medical School discovered a new cellular sensor that allows dormant bacteria to detect nutrients and quickly spring back to life. This breakthrough could inform the design of ways to prevent dangerous bacterial spores from lying dormant for months before waking up again and causing outbreaks.
Smart city technologies track foot traffic, driving patterns, and air quality, raising concerns about community impact. Americans worry that smart city tech may contribute to racial disparities in policing and negatively affect low-income neighborhoods.
Osaka University researchers develop a cellulose-based material, called nanopaper e-skin, that makes effective contact with the skin while maintaining breathability and comfort. The substrate can withstand deformation, sterilization, and environmental sustainability, making it a promising candidate for electrophysiological monitoring.
Researchers at Aalto University developed a new bio-inspired sensor that can recognize moving objects in a single frame from a video and predict where they will move to. The sensor uses embedded information to detect motion, allowing for accurate predictions of future trajectories.
Researchers developed an ingestible X-ray dosimeter that detects radiation dose in real time, providing accurate monitoring of radiotherapy. The capsule tracks biochemical indicators like pH and temperature, enabling enhanced treatment precision for gastric cancer patients.
A Princeton University team has developed a method to detect and quantify greenhouse gas leaks using drones and lasers. The approach localizes emissions sources to within a meter and can be used to spot leaks in hard-to-access areas.
Researchers developed a simple sensor to monitor paracetamol levels in saliva in real-time, enabling personalized treatment and reducing toxic side effects. The device is low-cost, portable, and uses non-invasive collection methods, making it an attractive alternative for therapeutic drug monitoring.
Researchers developed an electrochemical sensor using 3D printing to detect Parkinson's disease at different stages by measuring levels of the protein PARK7/DJ-1. The sensor was miniaturized for portability and could be used for continual monitoring with alerts for physicians and patients.
Researchers developed a multifunctional patch that detects plant diseases and abiotic stresses like drought or salinity. The patch can detect viral infections up to a week before symptoms appear, enabling growers to take action earlier.
A comprehensive review of e-nose methods and algorithms aims to improve smell detection capabilities. The study highlights limitations of current gas sensors and provides an outlook on algorithm design.
A new camera design allows for cheaper and more efficient long-term volcano monitoring, enabling researchers to track gas emissions and predict eruptions. The camera's affordability and user-friendliness make it accessible to more volcanologists, facilitating new research opportunities.
Researchers at the University of São Paulo developed a kraft paper-based electrochemical sensor that can detect traces of pesticides in fruit and vegetables in real time. The device resembles a glucometer and has been shown to be highly sensitive, fast, and inexpensive.
A novel, low-cost sensor system utilizing force-sensing resistor technology has been developed by Pusan National University researchers for real-time pipeline monitoring. The system demonstrated a 99.4% correlation with commercial sensors, enabling accurate detection of pipeline damages.
Researchers developed a robust multiagent trajectory-planner that enables drones to generate collision-free trajectories even with delayed communications. The system achieved a 100% success rate in simulations and flight experiments, guaranteeing safe group operations.
Scientists have developed a device that can simultaneously detect the presence of COVID-19 and flu viruses at much lower levels and quickly, using graphene nanomaterials. The sensor returns results within 10 seconds, faster than conventional tests.
Researchers utilize liquid crystal droplets to visualize electric field distribution within microelectrodes, revealing rotational and translational behaviors under applied voltage. The technique provides high spatial resolution and detection accuracy, enabling defect location analysis.
Physicists at Delft University of Technology have developed a new technology on a microchip combining optical trapping and frequency combs to measure distances with high precision in opaque materials. The technology uses sound vibrations instead of light, offering a simple and low-power solution for applications such as monitoring the ...
Researchers at Pusan National University have created a portable molecular sensor that detects biogenic amines released from spoiled food using polydiacetylene-based beads. The sensor, which changes color to red upon binding with BAs, can be used for rapid visual detection of spoiled food during storage and distribution.
Researchers at the University of Pittsburgh have developed a new type of metamaterial concrete that can be designed to have specific attributes like brittleness, flexibility, and shapeability. This material can generate electricity and can also be used to monitor damage inside concrete structures or earthquakes, reducing their impact o...
Researchers have identified a molecule called NLRP10 as an intracellular 'smoke detector' that warns of mitochondrial damage. This detection triggers a process that eliminates damaged cells, preventing chronic inflammation and tissue damage. The discovery could lead to new therapies for skin and intestinal diseases.
A team of researchers from Syracuse University has developed a tiny, nano-sized sensor that can detect protein biomarkers in a sample at single-molecule precision. The sensor is capable of identifying and quantifying specific proteins associated with various hematological malignancies and solid tumors.
Researchers at Harvard University developed a novel RNA sense-and-respond circuit, DART VADAR, which utilizes an enzyme to detect specific molecular markers of disease and cell types. This enables highly specific treatments for various diseases by triggering the translation of therapeutic genetic payloads.
Researchers developed a machine learning model that maps graphene-gas molecule van der Waals complex bonding evolution for selective gas detection. The model achieved 100% accuracy in distinguishing between different atmospheric environments, showcasing its potential for environmental monitoring and non-invasive medical diagnosis.
Researchers developed the first wearable sensor for monitoring muscle atrophy, a condition typically caused by degenerative disease or aging. The sensor can measure small-scale volume changes in overall limb size and monitor muscle loss of up to 51%. This technology has the potential to create less burden on patients and improve treatm...
A low-cost, open-source device called Flatburn can measure air pollution using 3D printing or inexpensive parts. Researchers have tested and calibrated it against existing state-of-the-art machines, making it suitable for community groups and individual citizens to track local air quality.
A new LiDAR system pinpoints pedestrian behavior to improve safety and efficiency at intersections. The system tracks pedestrians' true intent to cross, reducing conflicts between pedestrians and vehicles.
The novel portable wireless sensing system measures strain and acceleration in real-time, generating a safety assessment report to prevent damage and ensure safe delivery. While effective, the system lacks real-time data management capabilities, requiring future development of a cloud-based monitoring system.
Researchers from USTC developed a novel method combining micro/nano resolution with deep sub-wavelength localization to achieve quantum-enhanced position measurement accuracy of 10^-4 wavelengths. This breakthrough technology enables high-precision microwave positioning, surpassing traditional radar systems.
The UTSA ScooterLab will collect data on riders' mobility, context and environment to improve sustainable transportation solutions. The project aims to transform the way we think about micro-mobility.
Researchers developed a hydrogel-based sensor to monitor overactive bladder activity in real-time. The sensor measures both mechanical and bioelectrical activities, allowing for simultaneous monitoring and neural stimulation. This breakthrough has the potential to improve treatment outcomes and minimize side effects.
A new collaborative project led by the University of Liverpool aims to investigate the Gulf Stream's role in transporting nutrients and carbon, and its effect on the ocean's carbon uptake. The four-year programme will use cutting-edge sensors and models to better understand how the Gulf Stream influences climate change.
Researchers used drones to map large areas of Antarctica, capturing unprecedented high-resolution imagery of vegetation and biodiversity in protected areas. The vision identified areas with moss and lichen not previously picked up by satellite, providing valuable insights into the fragile ecosystem.
Researchers found that no single helmet design consistently reduced concussion incidence, with the back of the helmet showing vulnerabilities. The study suggests combining lab tests with field-based impact tracking could provide better protection for athletes.
Researchers from the University of Copenhagen and NASA have developed a method to map several billion trees and their carbon uptake in Africa's Sahel region. The method can help monitor whether climate credit purchases have a positive effect on tree numbers and nature restoration.
Researchers at MIT have proposed a new approach to making qubits and controlling them using beams of light from two lasers of slightly different colors. This method enables the direct manipulation of nuclear spin, allowing for precise identification and mapping of isotopes, as well as improved coherence times for quantum memory.
A MIT experiment equipped second-hand bicycles with mobile trackers to track their whereabouts over time, revealing that most stolen bikes remain in the local area. The majority of bikes were resold and re-used within the city's bike fleet.
A new technique maps the effects of fire-induced permafrost thaw in Alaska, revealing widespread topographic change and vegetation shifts. The study used a machine learning-based approach to quantify thaw settlement across 3 million acres of land, with results showing a significant loss of evergreen forest and shrubland encroachment.
A team of researchers from DGIST and Hanyang University have developed a triboelectric generator using graphene electrodes and PVC-gel, which generates constant output despite physical movement. The sensor's biostability was confirmed, making it suitable for daily use.
A team of scientists has created an implantable microsensor that can measure serotonin levels in the brain in real-time without deactivation. This breakthrough could improve diagnosis and treatment of mental illnesses. The sensor uses galvanic redox potentiometry to detect serotonin concentrations over a broad range.
Engineers at MIT and Caltech have developed an ingestible sensor that can track its location as it moves through the digestive tract, revealing where slowdowns in digestion may occur. The sensor uses a magnetic field produced by an electromagnetic coil outside the body to calculate its position.
Researchers at KAUST have developed a rapid and sensitive soil moisture sensor using metal-organic frameworks (MOFs) to optimize water usage in agriculture. The MOF-based sensor shows high sensitivity and selectivity for water even in the presence of metal ions, enabling precise irrigation management.
A team of researchers developed a model-free approach using deep reinforcement learning to optimize estimation of multiple parameters in quantum sensors. The protocol achieved significantly better estimations compared to nonadaptive strategies, demonstrating enhanced performance in resource-limited regimes.
Researchers at Tokyo Metropolitan University have developed a new calibration algorithm for HumTouch technology, which converts AC hum noise into touch location data. The algorithm improves accuracy and speeds up calibration, enabling nearly any surface to be turned into a touch sensor with high precision.
Researchers developed a new, low-cost sensor that can detect humidity changes in various settings, including daycares, hospitals, and at home. The sensor uses a simple pencil-and-paper design and has been integrated into smart diapers and wearable respiratory monitors.
A new smartphone application called FAST.AI uses machine learning algorithms to recognize facial asymmetry, arm weakness, and speech changes in people experiencing a stroke. The app's accuracy was validated through a study involving nearly 270 patients with acute stroke, showing promise as a tool for prompt individuals to seek care.
Researchers from TIBI have developed an advanced electronic skin patch that provides simultaneous, continuous monitoring of multiple bodily parameters. The new E-skin patch offers enhanced flexibility, thermal cooling abilities, and fluid absorption over conventional substrates while demonstrating excellent biocompatibility and biodegr...
Researchers at Drexel University have developed a wearable textile supercapacitor patch that can charge in minutes and power programmable electronics for almost two hours using MXene material. The innovative design enables seamless integration of technology into fabric, paving the way for health care technology applications.
Researchers from Utah State University have developed a new LiDAR system that improves the response time of commercial vehicles and detects movement without flaws. The technology can differentiate between stagnant and moving objects, see in the dark, and recognize potential collisions in real-time.
Debashis Chanda, a UCF professor, received the Samsung award to design an infrared camera inspired by a viper's eye. The tech aims to detect weak infrared photons in low-light conditions with minimal power consumption. Funding from Samsung will support integration into consumer electronics products.
Researchers developed BrightEyes-TTM, an open-source stopwatch to study molecular interactions inside living cells. The platform records the lifetime of fluorescent molecules, providing insights into cellular structure and function.
Researchers created a system to monitor underground gas pipelines using high-tech sensors that can detect weaknesses, discrepancies, and diversion in residential natural gas lines. The method uses ultrasonic sensors to transmit signals through the pipe, limiting the likelihood of gas diversions and ensuring public safety.
A new DNA biosensor developed by NIST, Brown University, and the French government-funded research institute CEA-Leti boasts accurate and inexpensive design. The modular device can measure biomarkers in a scalable and high-sensitivity manner.