Articles tagged with Sensors
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.
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.
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.
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...
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.
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.
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.
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.
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.
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 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.
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.
The project, funded by NASA's University Leadership Initiative, will create a new paradigm in sensing for hypersonic vehicles. Researchers will use scientific machine learning methods to analyze aerodynamic changes during flight tests and infer where force is being applied.
The NUS team developed novel strain sensors using MXenes that are 10 times more sensitive and can transmit data wirelessly. These sensors have potential applications in precision manufacturing, robotic arms, and soft robotics.
Researchers developed a compact laser-based sensor that accurately senses extremely low concentrations of benzene in real time, outperforming existing devices. The device detects trace benzene levels, including in parking garages and service stations, with higher sensitivity than conventional sensors.
Researchers developed a light-activated hydrogen sensor inspired by butterfly wings, offering precision results at room temperature. The sensor can detect tiny amounts of hydrogen in people's breath and measure concentrations across a full range.
Researchers developed wearable electroanalytical sensors for monitoring chronic skin wounds, detecting biomarkers such as pyocyanin, nitric oxide, and uric acid. The sensors showed high sensitivity and selectivity in simulated wound environments and cell cultures.
Researchers at Arizona State University found that urban parks experience a significant increase in evaporative losses during the night due to the oasis effect, leading to higher carbon dioxide emissions. This can have important implications for water conservation and greenhouse gas emission management in desert cities like Phoenix.
Fiber optic sensors have been upgraded with an advanced encoding and decoding system, allowing for faster and more accurate data transmission over wider areas. This technology, developed by EPFL engineers, enables real-time monitoring of hazards such as pipeline cracks and civil engineering deformations.
Researchers developed a stretchable dual-core optical fiber sensor system that can distinguish and measure complex mechanical movement using only a single sensor. The system, called SLIMS, successfully detected various finger movements and presses in real-time when integrated into a stretchable glove.
Researchers at Cornell University have created a stretchable 'skin' sensor that detects deformations and allows soft robotic systems to feel pressure, bending, and strain. This technology has the potential to revolutionize physical therapy and sports medicine by enabling machines to measure force interactions.
Scientists calculate that rare signals from dark matter can be detected by GPS atomic clocks and magnetometers, adding to multi-messenger astronomy
A team of MIT researchers has designed a skin-like device that can measure small facial movements in patients with ALS, allowing them to communicate through a variety of sentiments. The wearable sensor is thin, camouflaged, and easy to use, achieving an accuracy rate of about 75% in distinguishing between different movements.
Scientists successfully printed wearable circuits directly onto human skin using a room-temperature sintering method, enabling seamless integration with the body. The novel approach produced reliable and comparable signal quality to conventional commercial devices for health monitoring applications.
Researchers will test an unobtrusive multi-sensor system to detect and report cognitive changes in drivers aged 65 and older. The project aims to develop a low-cost, widely available early warning system for cognitive decline in older drivers.
A new, tiny fiber optic force sensor has been developed by researchers, enabling precise measurements of small forces and opening up potential applications in medical systems and manufacturing. The sensor, made of silica glass, measures forces with a resolution better than a micronewton and has a broad measuring range.
Penn State researchers discovered that adding background noise can enhance weak signals in manmade sensors, a phenomenon common in the animal world. This technique, known as stochastic resonance, can be used to detect other signals with low energy consumption and space requirements, making it suitable for deployment in IoT applications.
A UTA researcher is developing an AI-based system to refine traditional measurements of bridge structural health by accounting for variables like truck types and traffic conditions. The goal is to provide more accurate load parameters and improve the overall integrity of bridges.
A UMass Amherst health informatician has received a $2.4 million grant to develop a mobile health system using finger-worn sensors to monitor and encourage movement in stroke survivors' weak upper limbs. The goal is to provide individually tailored data and visualization tools to motivate patients and inform clinicians.
A novel modality for computational light-field imaging using a diffuser as an encoder has been developed, enabling lensless imaging with adjustable spatio-angular resolutions. This approach avoids the resolution limitation of traditional sensors, allowing for viewpoint shifting, post-capture refocusing and depth sensing capabilities.
Researchers at Cornell University developed a graphene-based Hall-effect sensor that can operate over a greater temperature range than previous sensors. The device can detect miniscule changes in magnetic fields, even within a larger magnetic background, making it ideal for various technological applications.