Articles tagged with Sensors
Researchers at MIT have developed a novel sensor that can detect immune molecule CXCL12, which plays a crucial role in several human diseases including cancer. The device uses receptor proteins found in cell membranes, making it a potential tool for early screening of hard-to-diagnose cancers.
The Multi-frame Moving Object Detection System enhances remote sensing applications by detecting objects as small as one pixel in low-visibility conditions. It improves signal-to-noise ratio and detects fast- and slow-moving objects with high accuracy.
Researchers at Politecnico di Milano used fibre optic sensors to monitor water pipelines and detected pressure anomalies caused by water leaks. The study's results confirm the possibility of identifying and localizing small water leaks, offering a potential solution to global water wastage.
A new device, pioneered by Anqi Zhang, can record brain activity without harming neural tissue, using the passageways of blood vessels. This innovation overcomes previous limitations, enabling precise recording from individual neurons in living animals.
Scientists will use AI-powered monitoring stations to track species populations and assess the effectiveness of agri-environment schemes in improving biodiversity. The study aims to demonstrate how different farming systems and practices affect species populations, providing crucial evidence for sustainable land management policies.
Lancaster University researchers have developed a novel scanning thermal microscopy approach to directly measure the heat conductivity of two-dimensional materials. This breakthrough enables the creation of efficient waste heat scavengers generating cheap electricity, new compact fridges, and advanced optical and microwave sensors and ...
A novel microfluidic sweat lactate sensor has been developed to measure sweat lactate levels continuously during exercise without interruptions from air bubbles. The device uses a larger-than-usual sweat reservoir to trap air bubbles, preventing them from contacting the sensors' electrodes.
Researchers from Bar-Ilan University have developed flexible magneto-resistive sensors with unprecedented sensitivity, detecting low-frequency magnetic fields smaller than 200 pico-Tesla. The breakthrough offers new opportunities for flexible sensor integration in medical devices, soft robotics, and other applications.
Researchers successfully fabricate a microlens on a single-mode polarization-stable VCSEL chip using 2-photon-polymerization 3D printing, reducing beam divergence from 14.4° to 3° and enabling compact optical gas sensors with improved performance.
A team from the Second Tibetan Plateau Scientific Expedition and Research (STEP) has made a significant contribution to understanding Mount Qomolangma's mean snow depth. They used a novel approach to ground-penetrating radar technology, resulting in a snow depth of 9.5 ± 1.2 meters at the summit.
A human lung-inspired graphene-metal organic framework hybrid gas sensor has been developed to monitor nitrogen dioxide concentrations. The sensor achieves the lowest detection limit (0.168 ppb) and fastest response time (15 sec), overcoming limitations of traditional sensors.
New smart pants based on fiber optic sensors can track various types of physical activities in the clinic or at home, detecting signs of distress. The sensing approach achieved 100% accuracy in classifying activities and has several advantages, including low-cost and reliability.
The new sensor chip detects multiple disease pathogens with high sensitivity and eliminates chemical dye reagents. Results are available in about 30 minutes, showing promise for rapid point-of-care diagnostic capabilities.
Researchers have developed a method to stabilize the –1 state of boron vacancy defects in hBN, enabling it to replace diamond as a material for quantum sensing and quantum information processing. The team discovered unique properties of hBN and characterized its material, opening up new avenues for study.
Scientists have developed a new technique to cool membranes with lasers, achieving temperatures close to absolute zero without measurement. The method uses a coherent feedback loop, where laser light acts as both sensor and damper, to dampen thermal vibrations and reach extremely low temperatures.
A University of Arizona professor has developed a 1-minute frailty testing platform to screen patients for frailty, enabling better care decisions. The platform measures motor, heart, and brain function using wearable sensors, providing an accurate diagnosis.
Researchers at UNIGE have identified a new type of molecular sensor that enables the malaria parasite to infect human cells or mosquitoes at just the right moment. By understanding how this sensor works, scientists can potentially scramble its signals to disorientate the parasite and block its multiplication and transmission.
Researchers developed tiny nano-sized pores that can detect specific proteins in complex biological fluids, such as blood. The breakthrough enables fast and accurate disease diagnosis, potentially leading to earlier interventions and improved treatment outcomes.
Scientists at the University of Tokyo develop a technique to create nano-sized quantum sensors on measurement targets, enabling high-resolution magnetic field imaging with applications in superconductors and electronic devices. The breakthrough uses boron vacancies or lattice defects in hexagonal boron nitride film, allowing for easy d...
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 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.
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.
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.
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.
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.
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 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.
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 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.
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 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.