Articles tagged with Sensors
Old Dominion University has launched a National Security Institute to accelerate research and technology solutions for pressing national security challenges. The institute will bring together researchers' strengths in AI, autonomy, and coastal systems to deliver innovative solutions.
MIT researchers have developed low-cost, 3D-printed triaxial electrospray emitters that efficiently produce three-layered particles at scale. The devices can be used to manufacture time-release drug-delivery nanoparticles with potential applications in biosensors and tissue regeneration.
New degradable sensors developed by Lancaster University researchers track biological activity in soil using a biodegradable substrate nibbled on by microbes. This technology offers insights into soil's response to climate events and storage of carbon, providing a better understanding of soil health and microbial processes.
A new vertical design separates expensive electronic components from disposable plastic patches, allowing sweat to travel upward and make electrical contact with sensors. This separation prevents waste and makes continuous monitoring economically possible.
Researchers developed a quantum sensing approach using superconducting qubits, combining non-equilibrium dynamics and quantum criticality to measure gradient field strengths with quantum-limit precision. The method avoids complex measurement setups, enabling highly precise estimates of gradient field strengths with limited samples.
Researchers at Istituto Italiano di Tecnologia developed an octopus-inspired soft robotic arm with integrated tactile sensors, enabling autonomous grasp and manipulation in aquatic environments. The system combines distributed tactile sensing and decentralized control to detect contact and adapt grip autonomously.
Researchers have developed a wearable sensor that reads chemical signatures of human breath to decode silent speech into text. The device uses a microscopic nanoforest to capture rapid water vapor changes, achieving 98.51% accuracy rate.
Researchers at MIT have created a pacemaker that uses ultrasound technology to stimulate the heart, offering a potential surgery-free alternative to traditional cardiac implants. The device is designed as a small sticker that sends ultrasound pulses through the chest to regulate heart contractions and correct arrhythmias.
Researchers from Kyushu University and DENSO IT Laboratory propose a new method to improve the accuracy of indirect Time-of-Flight (I-ToF) cameras by considering real-world sensor characteristics. The technology produces two tailored coding schemes that outperform conventional methods in terms of depth precision and stability, making i...
Researchers at Helmholtz-Zentrum Dresden-Rossendorf have developed biobased spintronics using iron, cellulose, and starch to create sustainable magnetic field sensors. These sensors achieve levels of sensitivity comparable to commercial solutions and can be safely degraded or recycled.
The MIT researchers developed a new sensor that can detect biomarkers produced by bladder cancer cells in the bladder, allowing for earlier detection. This approach is nearly 50,000 times more sensitive than traditional urinalysis and can image tumor location in tissue.
Researchers at Binghamton University developed a system that enables users to monitor real plants in real-time using virtual reality. This technology makes farming more accessible for older adults and people with disabilities, allowing them to observe plants without physically being present.
A team of researchers from MIT has directly characterized the three-dimensional atomic structure of a relaxor ferroelectric for the first time. This breakthrough provides a framework for refining models used to design next-generation computing, energy, and sensing devices.
Researchers developed biocompatible molecular quantum nanosensors that operate inside living cells, enabling absolute temperature measurements with subcellular spatial resolution. The sensors also detect radical-related spin signals in the cytoplasm and nucleus of cancer cells.,
Researchers at MIT developed a technique to overcome memory constraints and communication bottlenecks in federated learning, enabling faster and more accurate AI model training. The new framework, FTTE, uses a subset of model parameters and an asynchronous approach to reduce lag time and improve training performance.
A study in Brazil found that analyzing intracranial compliance using developed technology reduced mortality and neurological damage. The device uses a non-invasive sensor to monitor cerebral dynamics and intracranial pressure, allowing for early intervention before brain damage occurs.
A new measurement technique using nanomembranes and infrared light detects tiny amounts of substances in minutes, reducing sampling time by 100-fold. The technology analyzes particles accumulating on a tiny membrane, heating it up when certain wavelengths are absorbed.
Researchers developed an AI-powered methodology to identify and count target viruses more efficiently than previous techniques. The new approach uses electrochemical impedance spectroscopy and machine learning to separate signals from noise, enabling quick and accurate readings across a wide range of titers.
Researchers developed an electrochemical sensor to detect pancreatic cancer at low concentrations, improving accessibility and effectiveness of treatment. The device identifies CA19-9 protein, a key biomarker for the disease, allowing for early diagnosis and potentially increasing survival rates.
A USC-led team is working on a medical device that uses tears to monitor health, starting with dry eye disease. The device aims to provide continuous monitoring and automated medication delivery, improving patient comfort and treatment efficacy.
Researchers at Saarland University are developing smart implants that can continuously monitor and visualize the healing process of fractures. These customized implants can dynamically adapt to the healing process by becoming stiffer or more compliant as required, promoting bone regeneration through micromechanical stimulation.
Researchers have developed a new method to detect single micro/nanoparticles and protein binding events using non-linear resonance in a commercial quartz crystal microbalance. The system achieves femtogram-level sensitivity without requiring surface functionalization or nanomaterial integration.
Researchers created a new polymer electrode that conforms to the skin, is comfortable, and can pick up ECG signals without gel or adhesives. The technology performed comparably to existing sensors in proof-of-concept testing, showcasing its potential for practical and cost-effective health monitoring applications.
Researchers developed bioinspired auxetic triboelectric nanogenerators that resolve mechanical mismatch challenges in flexible sensors. The devices achieve high energy conversion efficiencies and conform to biological tissues with minimal energy loss.
Researchers develop signal-processing method to suppress distortions, achieving 6mm spatial resolution in single-ended Brillouin sensing. This enables early detection of damage or abnormal conditions in aging infrastructure.
A research team at DGIST has developed a wearable sweat sensor using semiconductor fibers that can collect and analyze sweat automatically. The sensor detects various biosignals, including electrolytes and metabolites, without the need for external power sources.
Researchers at Saarland University have developed a new class of miniature actuators using ultrathin silicone film-based pumps. The pumps can operate without motors, compressed air, or lubricants and can be switched on and off as needed.
Researchers at Saarland University have developed energy-efficient geometries for elastocaloric cooling elements using 3D printing. The technology uses shape-memory alloys to release heat when stretched and absorb it when released, promising a cleaner alternative to traditional cooling methods.
Researchers at Indian Institute of Science have devised a method to grow high-quality 2D magnetic materials over centimetre-scale wafers, paving the way for their integration into next-generation electronics. The technique uses Physical Vapour Transport Deposition and enables scalable fabrication with minimal surface roughness.
The São Paulo School of Advanced Science on Electrochemistry aims to strengthen proficiency in advanced techniques for next-gen batteries, catalytic interfaces & sensors. Participants will engage with renowned researchers & benefit from computational tools & instrumentation.
Researchers at MIT have developed a way to measure multiple physical quantities with solid-state quantum sensors, exploiting entanglement to overcome signal mixing. This approach enables deeper understanding of the behavior of atoms and electrons in materials and living systems, such as cancer cells.
A research team at Saarland University has developed an AI-assisted method to determine temperature distribution inside a running electric motor in real time, without additional hardware. The system uses motor-condition data extracted from electromagnetic fields and can detect thermal overload and optimize power regulation.
A wireless ureteral stent sleeve, UroSleeve, tracks intrarenal pressure through resonance shifts, detecting pressure changes linked to hydronephrosis in an ex vivo porcine kidney model. The system could enable continuous remote follow-up and reduce dependence on episodic radiographic imaging.
Scientists develop a new generation of energy-efficient transistors made from thin, lightweight electrically conducting films. The film-based switch can control the flow of electric current with high precision, enabling complex motion sequences or fixed positions.
Researchers developed a new sensor called CAMEO to monitor electrical activity in human cerebral organoids, facilitating research into neurodevelopment and genetic disorders. The device is made of carbon nanotube strands, enabling low-cost and scalable monitoring.
A new study by MIT researchers provides a high-resolution picture of auto emissions in NYC, allowing for more effective transportation and decarbonization policies. The method produces detailed data that bridges the gap between citywide emissions inventories and individual vehicle analyses.
A new soft sensing system allows humanoid robots to perceive complex finger posture in real time, enabling precise movement and dexterous manipulation. The system features an omnidirectional bending sensor that tracks pitch and yaw at the finger joints, providing stability and repeatability for demanding actions.
Researchers have developed a compact chemiresistive biosensor that directly transduces biochemical reactions into electrical signals, detecting creatinine concentrations from 1 to 300 mg/dL with high sensitivity and selectivity. The sensor's two-electrode design eliminates the need for reference electrodes and operates in just 35 seconds.
Researchers developed durable nanofilm electrodes for long-term measurement of bioelectric potentials in plants, paving the way for more resilient agriculture. These electrodes can detect stress in crops early, enabling timely warnings and improving yields.
Researchers have developed a highly sensitive electronic 'skin' using tiny devices that can measure force applied over an area. This technology has the potential to improve prosthetic limbs and robotic manipulation, allowing robots to accurately track hand movements and grasp delicate objects.
Scientists created a room-temperature, zero-power infrared sensor with high sensitivity and fast response time. The device uses a novel asymmetric electrode structure to separate generated electrical charges, enabling clear images without external power.
Researchers at IISc created a method to precisely steer quantum sensors through living cells, overcame challenges like viscous drag and brownian motion. This breakthrough enables real-time measurement of parameters such as local viscosity and temperature inside cells.
A new biosensor developed at Oak Ridge National Laboratory detects emerging fungal presence on plants at the molecular level, enabling rapid response to crop threats. The sensor identifies fungal outbreaks in near-real time, allowing for faster treatment and study of plant-microbe interactions.
Researchers have developed tiny sensors capable of detecting multiple biomarkers simultaneously, including temperature and chemical changes. These sensors have the potential to revolutionize cancer diagnosis and monitoring by providing reliable and clear information about disease presence in a minimally invasive way.
The journal focuses on advancing scientific understanding and expanding engineering horizons through rigorous peer-reviewed, open-access research. ASI aims to be the preeminent hub for pioneering next-generation scientific tools and fostering global collaboration.
A research team led by Prof. Wang Zuankai has discovered the mechanism behind mechanoelectrical perception in sea urchin spines, which allows them to detect water flow instantly. The team has developed a bionic metamaterial sensor using gradient porous structure and 3D printing, holding promise for sensing technology breakthroughs.
Researchers at MIT have developed a new technique using generative artificial intelligence models to overcome the precision bottleneck in wireless vision systems. The method produces more accurate shape reconstructions, which could improve robots' ability to grasp and manipulate objects blocked from view.
Wavelogix, a concrete sensor manufacturer, has received a $500,000 grant from the National Science Foundation to refine and scale its Rebel concrete strength sensing system. The system enables faster, data-driven decisions through real-time concrete strength monitoring.
Researchers developed a wearable vibration sensor capable of detecting subtle body movements without external power, opening new possibilities for healthcare technologies. The sensor accurately captures physiological signals and detects extremely faint vibrations across a broad frequency range.
The new dynamic shielding layer allows the sensor to focus on specific areas when needed, achieving a 104.56% increase in detection depth. The sensor can also detect approaching objects from over 90mm away, providing a vital split-second for robots to avoid collisions.
The SwRI MST 8x8 probe uses guided-wave technology to detect corrosion in storage tanks with exceptional accuracy. It reduces expensive downtime by allowing inspections without emptying the tank, improving inspection safety in hazardous spaces.
Roadside radar sensors like EyeDAR enhance automotive radar systems by capturing reflections from obstacles, reducing blind spots and improving sensing accuracy. This technology has potential applications in robots, drones, and wearable platforms, complementing artificial intelligence with analog design.
Researchers developed a sensor that can detect the chemistry of a single drop of body fluid using a hair-thin optical fiber probe. The device measures electrical conductivity through an optical signal, allowing for stable and real-time measurements in small volumes.
The FAU project will integrate high-resolution modeling, observational data, and advanced machine learning to improve understanding of regional sea-level variability in the Gulf of America. The team aims to produce decision-relevant scenario outputs and empower stakeholders with actionable information for future-oriented decisions.
Researchers at IMDEA Networks Institute discovered that tire pressure sensors in modern cars can be used to track vehicles and infer movement patterns. The study highlights the need for stronger security measures in future vehicle sensor systems.
Researchers developed a nickel-enriched biochar from marine microalgae that can detect hydrogen peroxide at low concentrations, with fast response times. The sensor's stability and sensitivity are improved by the uniform distribution of catalytic sites.
Researchers at Linköping University have developed an AI-boosted electronic nose that can detect ovarian cancer from blood plasma samples with high accuracy. The method uses machine learning to identify patterns specific to the disease, making it a promising tool for early detection and improved survival rates.