Articles tagged with Sensors
Researchers developed a novel cancer sensor using viral enhancement and nanomaterials, achieving ultra-high sensitivity in detecting breast cancer cells. The new P-DBS technology outperformed existing electrical-based sensors in terms of sensitivity and signal contrast.
Researchers have identified a previously unknown endogenous acid sensor in plant cells that responds to changes in pH levels. The acid sensor triggers the release of calcium ions from an endoplasmic reticulum, which activates cellular responses to external stimuli such as infections or drought.
A novel low-cost UAV platform for electrical transmission line inspection has been developed, utilizing a GNSS receiver, RGB camera, and mm wave radar. The system enables small drones to inspect transmission lines at close range, addressing challenges such as magnetic field interference and harsh environments.
Researchers at Washington State University have developed a single strand of fiber that combines the flexibility of cotton with the electric conductivity of polyaniline. The newly created material showed good potential for wearable e-textiles, including detecting hazardous exposures and tracking human vital signs.
Scientists at IPC PAS create peptide-based sensors to detect inflammation and chronic diseases, offering a promising alternative to traditional methods. The study uses phage-display method to identify CRP-binding peptides, achieving higher affinity and detection efficiency than antibodies.
A new study on wearable health monitors reveals that a failure to understand race leads to flawed technology, exacerbating existing racial health inequities. The researchers found significant challenges with 'race correction' in health technologies, which assumes biology over system racism.
Researchers at the Center for Development of Functional Materials created a sensor to monitor metronidazole levels in organisms and the environment. The sensor, combining magnetic fluorescent nanoparticles, showed good sensitivity and practical advantages, enabling real-time analysis and ease of handling.
ChromoSense uses a translucent rubber cylinder with colored sections to detect changes in bending, stretching, compression, and temperature. The device has potential applications in wearable technologies and soft robots, offering a more targeted and information-dense sensing solution than traditional camera-based systems.
A new proof-of-concept study demonstrates the use of distributed fiber optic sensing to detect and analyze the sound of periodical cicadas. The technology shows promise for charting the populations of these famously ephemeral bugs, with potential applications in monitoring insect abundance across seasons and years.
A new deep learning-based detection system has been developed by INU researchers to improve the detection capabilities of autonomous vehicles. The system, aided by IoT technology, generates bounding boxes and confidence scores for visible obstacles using point cloud data and RGB images as input.
Researchers at the University of Sydney have invented a compact silicon semiconductor chip integrating electronics with photonic components, significantly expanding radio-frequency bandwidth and filter control. The new technology has potential applications in advanced radar, satellite systems, wireless networks, and telecommunications,...
Researchers developed an integrated wearable sensor device using gold nanowires to measure multiple bio-signals simultaneously. The sensors demonstrated remarkable performance in detecting muscle tremors, heartbeat patterns, and body temperature changes.
Researchers developed an ingestible capsule to measure vital signs from within the GI tract, detecting sleep apnea episodes and breathing rate depression. The device shows promise for early detection of respiratory changes, including those caused by opioids or asthma/COPD.
Researchers developed soft, miniaturized wearables that continuously track subtle body sounds wirelessly across the body. The devices offer new functionalities and provide highly accurate, real-time evaluation of patient health.
A novel robotic system developed by USC researchers can help clinicians accurately assess a patient's rehabilitation progress. The method generates an 'arm nonuse' metric using machine learning and a socially assistive robot to track how much a patient is using their weaker arm spontaneously.
A team led by Lehigh University's Yahong Rosa Zheng is developing an Autonomous Observatory Node that can collect and transmit data from underwater sensors wirelessly, without the need for expensive subsea cables. The prototype aims to operate at depths of up to 1000 meters, enabling researchers to study extreme environments and detect...
Researchers at Purdue University have developed noninvasive wearable sensors that can measure uric acid levels in human sweat, offering faster and more accurate diagnosis, therapy, and prognosis for conditions like anxiety and hypertension. The sensors, called EPICS, have higher sensitivity and better wearability than traditional sensors.
The Pitt team will receive $2,274,859 to develop buoy-based optical fiber sensors for measuring pH and carbon dioxide in seawater. This technology aims to monitor geochemical processes within the ocean environment to kilometer-range depths, understanding its physical parameters and geochemistry.
Researchers at Xi'an Jiaotong-Liverpool University have developed a sensitive and robust pH sensor that can detect pH variation in just a few microliters of samples. The new sensor uses novel materials and methods to overcome the current method's limitations, which are not sensitive enough or fragile for commercial-scale use.
Researchers developed 'acoustic touch' smart glasses that translate visual information into distinct sound icons, enhancing the ability of blind or low-vision individuals to navigate their surroundings. The technology significantly improved object recognition and reaching abilities, empowering independence and quality of life.
Scientists have developed a novel organ-on-a-chip device with customizable screen-printed electrodes for measuring endothelial barrier integrity. The device overcomes traditional electrode fabrication challenges, providing a reliable and accurate method for studying the crucial roles of endothelial barriers in healthy and disease states.
Scientists at the University of Nebraska-Lincoln have developed a system that can adjust the size, shape, and refractive index of microscopic lenses in real-time. The design uses hydrogels and polydimethylsiloxane to create a dynamic platform for soft robotics and liquid optics applications.
Researchers at Nanjing University have developed a miniaturized FSO system achieving an astonishing 9.16 Gbps bandwidth over 1 km link using readily available commercial fiber transceiver modules. The system enables automatic tracking and precision acquisition, eliminating the need for optical amplification.
Researchers at Gwangju Institute of Science and Technology (GIST) have developed a deep learning-based biosensing platform called DeepGT, which can accurately quantify nanoscale bioparticles, including viruses. The platform harnesses the advantages of Gires-Tournois biosensors and AI to refine visual artifacts and extract relevant info...
Osaka University researchers create a wirelessly powered, biodegradable soil moisture sensing technology that can be installed in high densities, enabling precision agriculture with minimized land and water use. The system achieves both electronic functionality and biodegradability, allowing for safe disposal of used sensor devices.
Researchers developed Mites, a scalable system for supporting general-purpose sensors in buildings, with robust protections for privacy and security. VAX is another system that uses existing video and audio models to train ML models for privacy-sensitive sensors.
A team from Princeton University and Microsoft Research developed a fast and accurate method to determine fruit quality using high-frequency wireless technology. This system promises to help reduce food waste by sorting good fruit from bad bunches and ripening fruits more efficiently, according to the new study.
The company will use the funding to develop a novel method to produce high-accuracy optical encoders, which are crucial for modern automation and robotics systems. The goal is to enable the manufacturing of complex next-generation products with precision positioning and motion control.
A study published by Vienna University of Technology analyzed the effects of extreme physical and mental stress on a rowing athlete's body. The research found that the variability in heart rate, sleep quality, and regeneration during sleep phases were closely related to the athlete's psychological condition.
Engineers at UC San Diego developed wireless, battery-free force stickers that measure the force exerted by one object on another. The stickers can be used in various applications, including biomedical devices, industrial equipment monitoring, and inventory management.
A team of scientists developed a microwave microstrip line planar resonator sensor to detect added water in honey. The sensor's resonance frequency shifts with increased water content, allowing for adulteration detection.
Researchers have developed a wearable sensor patch capable of continuously monitoring vancomycin levels, a critical antibiotic used to treat severe bacterial infections. The sensor system detects changes in vancomycin concentration using aptamers and gold wires, providing real-time measurements for effective treatment.
Researchers at the University of California - San Diego developed screen-printed, flexible sensors that can record brain activity and lactate levels in earbuds. The sensors allow for long-term health monitoring and detection of neuro-degenerative conditions.
A team of researchers has created an optical fiber sensor that can detect thermal runaway in lithium-ion batteries, providing early warning and improving safety. The sensor measures internal temperature and pressure during the thermal runaway process, enabling battery safety assessment and warning.
The University of Science and Technology of China has made a significant breakthrough in exploring exotic spin interactions using solid-state spin quantum sensors. Their research findings provide valuable insights into these interactions, allowing for precise measurements of various spin phenomena.
Scientists from Shibaura Institute of Technology developed a more precise approach to face direction detection, achieving remarkable performance through deep learning-based classification. The new method uses point cloud data and gyro sensors, reducing the need for large datasets and improving accuracy.
A novel biodegradable optical fiber made from agar has been developed to measure or modulate electrical currents in the body. The fiber can be used to monitor bioelectrical stimuli produced in the brain or muscles, serving as a biodegradable alternative to conventional electrodes.
Researchers at Carnegie Mellon University have developed a wearable device that can objectively measure the intensity of scratching, which could help evaluate the efficacy of medications meant to reduce itching. The device uses a contact microphone and accelerometer to detect high-frequency vibrations and correlates them with scratch i...
Researchers measured the Young's modulus of molybdenum disulfide nanoribbons as a function of width, revealing an inverse relation below 3nm. This increases edge strength due to electron transfer and Coulombic attraction.
Rutgers researchers have developed a method to detect the early onset of deadly infectious diseases using a test that can flag 'quiet infected' patients who don't exhibit symptoms. The ultra-sensitive biosensor combines nanoballs and advanced electronics to detect viral nucleic acid material, enabling early infection detection.
A team of scientists has developed a chip-integrated metasurface-based Full-Stokes polarimetric imaging sensor inspired by the mantis shrimp eye, achieving high accuracy and large field of view. The sensor operates at visible wavelengths with ultra-compact footprint and CMOS compatibility.
Researchers developed a groundbreaking soft valve technology that integrates sensors and control valves into soft robots, eliminating the need for electric components. This innovation enables safe operation underwater or in environments with sparks risks, reducing weight burdens and costs.
Accelerometer sensors can detect sickness behavior in wild boar, allowing for early detection of African Swine Fever. The study found that infected boars were 10-20% less active daily than healthy ones, making this technology a potential tool for disease control and prevention.
Researchers at the University of Cincinnati have developed a new at-home test that uses saliva to detect early signs of gingivitis, the earliest form of gum disease. The device can identify periodontal disease caused by bacteria in saliva, providing an opportunity for consumers to protect their oral health.
Researchers at UC Santa Cruz have created a device that mimics biological channels to detect biomolecules indicative of human disease. The bioprotonic system uses electrical currents of protons to translate biomolecule presence into electronic signals, with potential applications for in-vitro and clinical settings.
Scientists at the University of Innsbruck improved atomic clock accuracy by using finite-range interactions to create entanglement, reducing measurement errors by roughly half.
Researchers at Pohang University of Science & Technology have developed a sensor technology called computer vision-based optical strain (CVOS) that enhances durability and streamlines fabrication processes. This breakthrough enables the precise recognition of intricate bodily motions through a single sensor.
A KAUST researcher has created a highly sensitive glucose detector based on a thin-film transistor that can measure glucose levels in saliva with high accuracy. The device uses an enzyme to oxidize glucose present in the saliva, producing electrons that indicate the glucose concentration.
Researchers created stretchable strain sensors that can measure large and complex deformations accurately. The new sensors respond quickly, detecting deformations in under 22 milliseconds, and can be used to monitor organs for diseases like bladder abnormalities.
Scientists have identified a molecule that regulates nerve cell sensors, which could lead to new therapeutics for obesity, osteoporosis, and inflammatory diseases. The molecule can be modified into peptide-based therapeutics to boost the activity of channels involved in bone strength and satiety.
Researchers used AI and mobility data to enhance air pollution models, improving accuracy by an average of 17.5% and identifying hotspots with high PM2.5 levels. This integrated approach can inform targeted health alerts and safety measures for areas with poor air quality.
A team of researchers has developed a new screening method to identify defective sensors, enabling the mass production of reliable graphene sensors for detecting toxins in water. The sensors can detect multiple contaminants simultaneously and provide early warning for contamination.
Researchers have developed a sensitive and selective nerve gas sensor using human scent receptors. The device reliably detected dimethyl methylphosphonate (DMMP) in simulated tests, even at concentrations as low as 0.037 parts per billion.
A team of scientists at Caltech used a section of fiber optic cable to measure the intricate details of a magnitude 6 earthquake, pinpointing four individual asperities that led to the rupture. The study demonstrates the potential of distributed acoustic sensing technology to improve our understanding of earthquake physics.
Researchers explore techniques to enhance mechanical and electrical performance of hydrogel sensors, enabling harsh environment resistance, human skin compatibility, and intelligent data processing. Hydrogels' toughness and conductive capabilities make them suitable for wearable electronics applications.
Researchers have developed ultra-thin and flexible 2D biochemical sensors with high sensitivity for detecting target substances, revolutionizing sensing technology. However, integrating these sensors into comprehensive systems for large-scale industrial manufacturing poses significant challenges.
Researchers have developed a novel DNA-filtering system using α-hemolysin nanopores to reduce contamination in single-molecule DNA extraction. The technique, which uses phospholipids and the PCR clamp method, achieved a 99.98% reduction in DNA contamination.
Researchers at UC San Diego developed a robotic hand that can rotate objects solely through touch without relying on vision. The system uses low-cost, binary signals from multiple sensors to detect object contact and perform precise rotations.
Researchers created a thin, flexible sensor that can visualize heat flow in real-time using thermoelectric phenomenon ANE. The sensor can be built deep inside devices and is quick, cheap, and easy to manufacture.
Researchers have developed an easy-to-manufacture e-nose that can rapidly and accurately 'sniff-out' volatile compounds, including those used in hazardous waste and disease diagnosis. The sensor uses machine learning to identify specific VOCs and determine their concentration.