Articles tagged with Sensors
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 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.
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...
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 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...
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.
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.
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 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 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.
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.
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 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 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 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.
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.
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 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.
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.
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.
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.
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 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.
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 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 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 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.
University of Illinois scientists developed a way to accurately map tilled land in real-time using ground, airborne, and satellite imagery. The method increased mapping accuracy by 67% compared to upscaling directly from the ground to the satellite.
Researchers at the University of São Paulo developed a portable, flexible copper sensor that can detect heavy metals like lead and cadmium in sweat. The device is made from ordinary materials and is simple to produce, making it accessible for non-specialists and technicians.
The MEDA instrument aboard the Perseverance rover has provided high-precision meteorological measurements of Mars' atmosphere, revealing seasonal and daily cycles as well as dynamic phenomena like dust devils. The analysis sheds light on the Martian climate and its potential for supporting life.
Researchers have designed an algorithm based on insect neural circuitry to create a power-saving collision detector that can detect vehicles in real-life nighttime scenarios. The novel detector uses atomically thin and light-sensitive memtransistors, resulting in significant energy savings compared to existing systems.
Swansea University scientists developed a smart patch that can detect proinflammatory biomarkers of neurodegenerative diseases, including Alzheimer's, using microneedle technology. The patches can be self-administered for point-of-care diagnosis and have the potential to change the landscape of early disease detection.
Researchers developed a cellphone-based colorimetric multi-channel sensor for simultaneous detection of various environmental contaminants. The compact sensor achieved high sensitivity, specificity, and reliability, with improved sensitivity by over six folds compared to direct photography.
Researchers at Tufts University develop biopolymer-based sensors that can detect bacteria, toxins, and chemicals in the environment. The sensors glow when dangers are present and can be printed on a wide range of materials, including wearable items and food jars.
The article discusses the development of the metaverse through digital twins, emphasizing their focus on simulating real-world processes and entities. Digital twins are virtual replicas that synchronize data between the physical and virtual worlds, while the metaverse focuses on human interaction and connection.
Researchers developed a self-powered nanowire sensor that can detect nitrogen dioxide in the air without power source. The sensor has potential applications in environmental monitoring, healthcare, and industrial safety.
Chung-Ang University researchers identify direct electron tunnelling as dominant mechanism of noise in organic photodetectors, enabling enhanced detection speed and improved image sensor performance. The discovery paves the way for miniaturized image sensors with curved designs and omnidirectional sensing capabilities.
Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.
Researchers developed a transparent temperature sensor that can measure rapid temperature changes in less than a few milliseconds. The sensor uses the thermoelectric effect and achieves high transparency, making it suitable for various photothermal bioengineering and medical applications.
A new form of thin-film device technology using alternative semiconductor materials could contribute to a more sustainable IoT. Wireless power harvesting from the environment using photovoltaic cells and RF energy harvesters is being explored.
Researchers at MIT developed a new sensor that converts light into a magnetic signal detectable by MRI, allowing for the mapping of light distribution in tissue. This breakthrough has implications for optogenetic experiments and monitoring patients receiving light-based therapies for cancer treatment.
Researchers created a magneto-impedance sensor magnetometer that measures Earth's geomagnetic field fluctuations, enabling real-time monitoring of space weather and advancement of space research. The device is lightweight, power-efficient, and low-cost, making it suitable for constructing multi-point observation networks.
The device converts pressure into structural colors, imaging gaseous properties. It has applications in environmental monitoring and healthcare.
Researchers from Osaka University developed a new fluorescent sensor system to visualize N-cadherin-mediated interactions between living cells. The INCIDER system enables accurate tracking of temporal changes in these interactions, with a fluorescence signal 70 times stronger than existing methods.
Researchers at DGIST developed a bio-friendly self-powered sensor technology that can accurately analyze exercise posture. The technology uses piezoelectric energy harvesting materials, which convert body movements into electric energy, without harming the human body.
Researchers at Incheon National University have developed an IoT-enabled, real-time object detection system for autonomous vehicles. The YOLOv3-based model achieved high accuracy (>96%) in detecting 2D and 3D objects, outperforming other state-of-the-art detection models.
Researchers from Florida Atlantic University have developed a prototype of a novel wearable device that can continuously monitor physiological parameters associated with heart failure in real-time. The device uses sensors embedded in a lightweight belt to track thoracic impedance, electrocardiogram, heart rate, and motion activity, pro...
Researchers developed a simple and accurate method for markerless gait analysis, combining RGB camera-based pose estimation with IMU sensor data. The new technique outperformed existing methods in measuring gait parameters and joint angles, showing significant promise for clinical settings and diverse applications.
Researchers found particulate air pollution concentrations between 10 to 20 times higher inside the Copenhagen Metro system compared to street level. The concentrations measured at stations were 109-168 µg m−3, exceeding EU's 25 µg m−3 standard.
Researchers create a soft robot that can detect damage and heal itself using stretchable fiber-optic sensors and polyurethane urea elastomer. The SHeaLDS technology provides a damage-resistant robot that can self-heal from cuts, and the researchers plan to integrate it with machine learning algorithms for more tasks.
The use of smartwatches to screen for faulty heart rhythms needs more evaluation, according to a cardiologist. Smartwatch detection of AF can often point to cases of the disorder, but substantial work is needed to integrate this consumer-received information into optimized care. Recent studies have reported low rates of irregular heart...