Articles tagged with Sensors
Researchers at the University of Rochester have developed a way to amplify interferometric signals without increasing extraneous input on an integrated photonic chip. This breakthrough enables high-precision measurements in various applications, including quantum gyroscopes.
Scientists at Tokyo Institute of Technology developed a new peptide sensor to detect and quantify water-soluble synthetic polymers in wastewater. The technique uses machine learning algorithm to identify and discriminate between different polymers.
Researchers at Rice University are creating a 3D-printed smart helmet with embedded sensors to protect soldiers' brains against kinetic or directed-energy effects. The program aims to modernize standard-issue military helmets by incorporating advances in materials, image processing, artificial intelligence, and energy storage.
Researchers at St. Petersburg State University develop a new method for synthesizing nanoparticles from metal-organic frameworks, enabling detection of heavy metal ions in water with significantly lower limits of detection. The synthesized particles can also be used as luminescent sensors to detect Cu2+, Cr3+, and Fe3+ ions.
Researchers at Skoltech propose a method for interpreting brain activity data that is up to five times more accurate than the conventional technique. This method can help treat drug-resistant epilepsy and understand cognitive processes in the healthy brain.
A new rapid screening test for glaucoma uses infra-red sensors to monitor eye movement, providing accurate results within seconds. The test could help advance early detection of the disease, a leading cause of irreversible blindness, and make it more accessible for national screening programs.
A new 'smart bandage' has been developed to track wound moisture levels wirelessly, enabling doctors to monitor wounds without removing the bandage. The technology could help improve wound healing rates by detecting optimal moisture levels, reducing the risk of disruption to the healing process.
Scientists at the University of Groningen developed wearable, stitchable, and sensitive sensors from flexible polymers and carbon fibre. These sensors can measure body position, movement, and touch, offering new possibilities for health monitoring and athlete performance tracking.
Scientists found that amorphous carbon coatings used to protect optical fibers from moisture can break down due to interaction with water molecules. The coating's thickness increases, leading to an irreversible increase in electrical resistance and a decrease in transparency.
Researchers at the University of Arizona have created custom-fitted wearable devices that can monitor physiological parameters without needing recharging. The biosymbiotic devices use wireless power transfer and compact energy storage to enable continuous operation, providing accurate data on body temperature, strain, and muscle deform...
The Quantum Sensors project aims to create ultrasensitive gyroscopes and accelerometers using quantum states, enabling precise measurements for self-driving cars and spacecraft. This technology could capture information not provided by GPS, improving navigation and stability in various environments.
Researchers developed a wearable, biocompatible, and low-cost biosensor that measures electromyography signals in muscles. The sensor uses a gold-silver nanocomposite printed onto fabric, providing a comfortable and effective way to track muscle activity.
A novel fiber-tip-polymer clamped-beam probe micro-force sensor was developed using femtosecond-laser-induced two-photon polymerization technique. The sensor exhibited an ultrahigh force sensitivity of 1.51 nm/μN and a detection limit of 54.9 nN, opening avenues for high-precision biomedical and material science examination.
SUTD researchers develop sensor that assigns dirt score to areas based on visual and tactile analysis, allowing for more efficient exploration of complex spaces. The sensor is integrated with a smart algorithm that directs the robot to focus on areas with high dirt probability.
A new DNA sensor can detect both the presence and infectivity of viruses in minutes, providing a significant improvement over current methods that only detect genetic material. This breakthrough could aid in tracking and containing viral outbreaks, as well as understanding mechanisms of infection.
Scientists have developed a technique to enhance digital sensor capabilities beyond current limits, enabling applications in consumer photography, medical imaging, and space exploration. The new approach uses 'modulo' sampling to process a wider range of information, unlocking high dynamic range for sensors.
Scientists from Trinity College Dublin have developed tiny, color-changing gas sensors using new materials and 3D printing techniques. These sensors can detect solvent vapors in air and have potential applications in wearable devices for health monitoring and low-cost environmental monitoring systems.
Researchers from the University of Cambridge have created a real-time approach to predict drone flight paths and intentions, enabling safer use of drones. The solution uses statistical techniques and radar data to identify potential threats before they enter restricted airspace.
Dartmouth has received a $3 million NSF grant to increase its PhD Innovation Programs by 50% and develop new multidisciplinary pathways for STEM graduate students focused on entrepreneurship and research translation. The funding will support 19 additional graduate students and enhance the development of sensor technology applications.
The Center for Research on Programmable Plant Systems (CROPPS) aims to create systems that enable plants to communicate their hidden biology to sensors, optimizing growth and the local environment. This will lead to breakthrough discoveries, new educational opportunities, and transformative management of crops.
A newly improved robotic cane, funded by NIH/National Eye Institute, uses a color 3D camera, inertial measurement sensor, and onboard computer to guide users to desired locations while avoiding obstacles. The device can provide accurate navigation assistance in large spaces with sensory and auditory cues.
A new electronic 'nose' has been developed to detect when a lung transplant is beginning to fail, with 86% accuracy. The device uses machine learning algorithms to analyze exhaled breath patterns and identify lung diseases, offering new hope for patients diagnosed with chronic allograft dysfunction.
A team of researchers from the University of Science and Technology of China developed a super-elastic porous carbon material called 'carbon spring' with both high compressibility and stretchability. This unique microstructure enables reversible tensile and compressive deformation, similar to a real metallic spring.
Researchers at Penn State developed a luminescent sensor that can detect and quantify low concentrations of terbium in complex acidic samples. The sensor uses a protein called lanmodulin, which is selectively binding to rare earth elements, and has the potential to help develop a domestic supply of these metals.
The robotic white cane system combines depth data with a 2D floor plan map to reduce pose estimation errors. It features a novel 'robotic roller tip' interface that allows for automatic mode-switching, making it easier for visually impaired users to navigate.
Scientists have created a system dubbed "NanoporeTERs" allowing cells to express themselves in a whole new light. These new reporter proteins can detect multiple protein expression levels and shed new light on biological systems, enabling deeper analysis than before.
Scientists have developed novel gas sensors with improved detection sensitivity and durability by combining organic and inorganic materials. The hybrid sensors boast high durability and high sensitivity, making them suitable for portable gas sensing applications.
Researchers at Washington State University have created a sensor that can measure the electric current produced by tiny microbes in soil, allowing for real-time assessments of soil health and potential. This breakthrough could provide farmers with valuable insights into soil productivity, enabling data-driven management strategies.
The NIST-developed emberometer uses digital cameras to track embers in mid-air and reconstruct their 3D shapes. This tool helps researchers understand the behavior of embers, which can aid in developing better protection for structures during wildfires.
The new infrared detector can make two technically important ranges of infrared radiation visible, previously not covered by conventional photodiodes. The sensor can distinguish between substances based on their different absorption properties in the NIR and SWIR range.
A team from the Russian Quantum Center developed a novel solid-state supersensitive room-temperature magnetometer capable of registering weak electrical sources in the brain. The device successfully detected alpha rhythm, a sinusoidal electric current in the back of the brain, and showed higher sensitivity than existing systems.
Researchers discover a new way for an antiviral enzyme to detect and destroy viruses that hide inside cell membranes. The OAS1 p46 isoform enhances the immune response against SARS-CoV-2, flaviviruses, and other RNA viruses.
Scientists from the Institute of Nuclear Physics PAS discovered that medicines like painkillers can be used as makeshift emergency dosimeters due to their composition and standardization procedures. This method is more personal and easier than previous methods, which require breaking down expensive devices.
A team of researchers has developed a new concept for a future brain-computer interface system that employs independent, wireless microscale neural sensors to record and stimulate brain activity. The system, dubbed 'neurograins,' successfully recorded neural signals from a rodent's cerebral cortex, demonstrating its potential to provid...
Researchers have successfully synthesized AIE-active nanoparticles in a single step, producing fluorescent sensors that can detect nitroaromatic compounds with high sensitivity. The novel solid-state sensors show quenching of fluorescence emission on contact with PA, enabling fast and accurate detection of explosives.
Researchers at NIST have created a quantum crystal sensor that can measure electric fields with unprecedented sensitivity, potentially revolutionizing dark matter detection. By entangling the mechanical motion and electronic properties of tiny ions, the sensor can detect subtle vibrations caused by dark matter particles.
The MIT-designed tactile glove can map subtle changes in pressure across the palm, helping to restore motor function after stroke. The glove's sensors can also track pulse and vital signs accurately, even during movement.
A new study developed a wearable technology-based method to assess myoclonus symptoms in the home environment. The method, which measures electrical neuromuscular function and movement, correlates well with assessments performed by experienced physicians.
Mitacs is providing $5.1 million in funding to support graduate students and postdoctoral fellows at Simon Fraser University's PLANet, accelerating the development of new Canadian wearables. The partnership aims to create intelligent apparel and gear with integrated sensors and machine learning for improved health and wellbeing.
Using nearly a decade of satellite data, researchers at CSU have detected the elusive ‘milky seas’ – a rare display of bioluminescence in the ocean. The study reveals that milky seas are not adequately explained by previous hypotheses and proposes new theories for their formation.
Researchers created a wearable sensor that can detect a wide range of strains, from low-level wrist pulses to high-level elbow bending movements. The sensor's novel structural design mimics the scaly structure of snake skin, resulting in exceptional stretchiness and sensitivity.
A network of ground-based sensors paired with drones can significantly shorten wildfire detection time, giving firefighters a better chance to control the fire. The technology is complementary to satellite imaging and suitable for high-risk regions near human settlements and national parks.
Researchers developed a low-cost, accurate gas sensing device that can detect volatile organic compounds (VOCs) in air samples within 10 minutes. The device has potential applications in monitoring indoor air quality and non-invasive medical screenings.
A team of scientists from Hokkaido University used an ocean-bottom seismometer to detect continuous seismic radiation from a glacier sliding in Greenland. The study revealed that glacial basal motion can be monitored using underwater sensors, offering new opportunities for studying ice flow and calving processes.
A study by UCI researchers found that fireworks use spikes air quality pollution, particularly in low-income communities. The team used PurpleAir sensors to track PM2.5 levels before, during and after Fourth of July fireworks, revealing a significant impact on public health.
Researchers developed sensitive SERS substrates via femtosecond laser processing for real-time sensing in biomedicine and microfluidic chips. Attomolar detection capabilities were achieved through synergistic enhancement effects, opening up new avenues for monitoring and sensing applications.
A new device that fits over a person's ears can measure real-time changes in blood alcohol levels through the skin. The device collects gas released through the skin and uses an ethanol vapour sensor to calculate ethanol concentrations.
A new SERS gas sensor developed by Prof. HUANG Qing's group can detect aldehydes with high sensitivity and selectivity, using Co-Ni LDH composite nanomaterials. The sensor's accuracy, repeatability, and selectivity have been verified through experiments.
Researchers developed an AI-powered algorithm to detect COVID-19 origins in municipal wastewater systems. The system uses automatic sensors and manhole sampling to quickly identify key locations for manual testing and contact tracing, reducing the time to locate sources from days to hours.
Researchers experimentally show that quantum methods have an advantage over classical counterparts in sensor classification, reducing errors by a small margin. The discovery opens up possibilities for real-world applications such as biomedical imaging and autonomous driving.
Researchers at Michigan Technological University discuss solutions for snowy driving scenarios using sensor fusion, which combines data from various sensors like lidar, radar, and cameras. This approach enables autonomous vehicles to better detect obstacles and understand their environment.
KICT has developed an effective structural monitoring technique to monitor massive infrastructures, such as long-span bridges. The method uses multi-fidelity data fusion to combine point and distributed strain sensors for accurate responses over whole infrastructures.
Researchers at UC Berkeley created a tiny wireless implant that can measure tissue oxygen levels in real-time, allowing doctors to monitor the health of transplanted organs and tissues. The device could also track other biochemical markers, such as pH or carbon dioxide, providing early warnings of potential issues.
A team of researchers has developed a webcam that mimics the movements of a human eye, raising questions about its potential effects on human interaction. The device's anthropomorphic design aims to encourage people to think about their relationship with sensing devices.
Whispering-gallery mode (WGM) microlasers exhibit extraordinary sensitivity for detecting physical, chemical, and biological entities, even down to single molecules. Active WGM microlasers have the potential to expand applications in biological and chemical sensing, particularly in in vivo sensing.
Researchers develop HeadFi, a plug-in headphone adapter that transforms regular headphones into sensors for user identification, heart rate monitoring and gesture recognition. The invention shows promise in upgrading existing headphones without requiring new hardware or customization.
A new sensor can detect RNA and DNA in less than a second, providing a quick way to distinguish between 'healthy' and 'sick' samples. The sensor could be used to measure DNA metabolism and predict rapid infections, potentially improving disease diagnosis and treatment.
Researchers from WMG, University of Warwick found that LiDAR sensors' effectiveness decreases in heavy rain, hindering object detection. The study simulated real-world roads and weather using the WMG 3xD simulator to test LiDAR sensor performance.
A new type of high-performance optical sensor has been demonstrated that utilizes the surface tension of liquid to concentrate and trap analyte molecules at sensitive locations, enhancing sensitivity performance. The sensor can detect picogram levels of analyte mass with readily detectable optical signals.
A new study uses mobile air quality sensors on light rail trains to monitor greenhouse gas emissions in the Salt Lake Valley. The system provides a highly cost-effective way to cover larger areas and fill gaps in emissions estimates, with results comparable to stationary sensors.