Articles tagged with Laboratory Equipment
A team of scientists has developed a low-cost and portable method for detecting nerve agents using a combination of Lego bricks, a smartphone camera, and a UV lamp. The new device can distinguish between different classes of nerve agents and provide quick results, which is crucial in preventing mass harm.
Purdue researchers have developed methods to make batteries safer, which could be scaled up for larger batteries used in naval strategic systems. The project aims to incorporate these safety measures into lithium-sulfur technology, potentially increasing energy density and reducing overheating.
Magnetic vortex structures enable high-performance magnetic sensors with improved sensitivity and integration, reducing interference signals and noise. Researchers redesigned the transducer element to align atomic magnetic dipoles in a circular pattern, leading to direct changes in electrical resistance.
eVOLVER, an open-source system developed by Rice University, enables high-throughput continuous cell culturing using automated growth experiments. The system can support 96-chamber experiments and allows for real-time data tracking and monitoring of culture conditions, making it suitable for applications in synthetic biology and antibi...
Researchers at MIT developed an algorithm to prioritize and transmit data from sensors in real-time, ensuring the freshest possible data is received by a network. The algorithm calculates an 'index' based on data age, channel reliability, and node priority, guaranteeing optimal decision-making without overloading wireless channels.
Researchers have made a groundbreaking discovery of accelerating activity before a 2016 earthquake in central Alaska. The study found evidence for very low-frequency earthquakes, which do not typically exhibit the usual P and S waves associated with typical earthquakes.
UNIST's Statistical Artificial Intelligence Lab (SAIL) won the digital curling competition with an AI-based software designed by Kyowoon Lee, Sol-A kim, and Professor Choi. The team applied Kernel Regression and Reinforcement Learning-based Deep Learning Technique to form self-winning strategies.
Researchers at EPFL have developed ultra-sensitive sensors using elastic fibers filled with electrodes, capable of detecting pressure and strain. The fibers can be used in smart clothing, prostheses, and artificial nerves for robots, with potential applications including touch keyboards and compression detection.
A new facial recognition software and app developed at Michigan State University can help track and protect endangered primates. The PrimNet system outperformed state-of-the-art face recognition systems in head-to-head comparisons, offering a more cost-effective and invasive approach to primate tracking.
Researchers at EPFL have invented a new method to examine protein assembly mechanisms in real time using atomic force microscopy. The technique, which uses pulsed laser light, allows for the observation of dynamic processes that were previously impossible to study.
MIT engineers create a new virtual-reality training system for drones, enabling vehicles to navigate through an empty physical space while 'seeing' a rich, virtual environment. The system, dubbed Flight Goggles, reduces the number of crashes that drones experience in actual training sessions.
Researchers have developed a system using wearable technology and artificial intelligence to detect the onset of respiratory and cardiovascular diseases. By analyzing data from sensors on smart shirts, they can predict health-related benchmarks during daily activities.
Researchers at ETH Zurich developed a device that combines multiple gas sensors to detect entrapped people. The device, the size of a small computer chip, can identify specific chemical compounds emitted by humans and distinguish them from other sources.
The new Pacific Northwest Center for Cryo-EM is one of three national centers established by the National Institutes of Health to boost access to cryo-electron microscopy. This technology allows scientists to see individual atoms in a molecule or protein with striking clarity, revolutionizing structural biology research.
Researchers at the University of Oklahoma are developing quantum-enhanced plasmonic sensors that can detect biosamples, monitor atmospheric conditions, and analyze chemicals with enhanced sensitivity. The new technology has the potential to revolutionize fields like metrology and chemical detection.
HyperTools uses mathematical techniques to visualize complicated datasets and reveal underlying geometric structures. The tool provides insights into patterns, clusters, and relationships in data, enabling researchers to develop machine learning algorithms.
A team of scientists at KAUST created a porous material with tailor-made pockets to sense noxious gases, offering a promising step toward real-world devices that can monitor air quality. The MOF-based sensor can detect sulfur dioxide at concentrations as low as parts per billion in lab tests.
The Texas A🏩;M/Virginia Tech team developed image-analysis software to quickly measure key features of nanoporous gold from 150 peer-reviewed papers, correlating them with processing techniques. This allowed the identification of a new parameter and a quantitative law for controlling NPG properties.
A breakthrough in modular power electronics systems aims to revolutionize the way we distribute energy. By developing 'LEGO-like' power electronic systems with high-performance modular power converters, researchers can create flexible and efficient microgrids that can work in both grid-connected and autonomous modes.
Bayou, developed by Rice University, uses neural sketch learning to recognize patterns in Java code and generate code snippets. This enables developers to get immediate feedback on their queries, making it easier to navigate the numerous APIs.
A new open-access software called PyFRAP has been developed to accurately analyze molecular diffusion in living cells. The program takes into account three-dimensional structures and provides reliable results, especially under complicated conditions.
The next WHO Biosafety Handbook revision should prioritize local relevance, proportionate infrastructure and sustainable work practices. This new approach would ensure safe laboratory procedures with minimal resources in less developed countries.
The proposed system, called FabRec, would allow companies to share manufacturing data in a secure and reliable manner, increasing transparency and efficiency in the supply chain. This public network could help small- and medium-scale manufacturers gain access to potential clients, while also promoting accountability and authenticity.
Researchers have developed a tool using carbon nanoparticles to detect antidepressants in urine samples, improving analytical properties and enabling early disease diagnosis. The new method enhances the ability to adsorb, making it fast and easy to extract antidepressants from urine, even at low concentrations.
The automated protocol simplifies sample preparation, reducing time and error. Researchers can now seamlessly transition to automation, relieving them from monotonous pipetting tasks.
The Christian Doppler lab will develop methods and techniques for quality assurance in autonomous systems, including autonomous vehicles and Smart Production. The goal is to ensure software quality and guarantee safety.
Researchers have created a statistical analysis software called scImpute to handle RNA sequencing dropouts and improve the accuracy of measuring gene expression in individual cells. The tool uses information from similar cells to make educated guesses about gene abundance, providing more reliable results.
Researchers at NUS have developed a tiny microfluidic chip that can detect minute amounts of biomolecules without complex equipment. The chip uses standard lab microscopes to spot nano-biomolecules, making it attractive for point-of-care diagnostics.
Researchers at Saarland University develop a sensor-free control methodology for electromagnetic valves and locks, achieving high-precision control without additional position sensors. The new technology allows devices to maintain intermediate positions and operate continuously variable systems.
A 3-year initiative aims to develop an airflow control system based on AI sensors detecting human movement and air currents in the underground complex Santica. The goal is a 50% cut in energy and CO2 emissions.
Researchers at Tufts University developed miniaturized sensors that can detect nutrients, chemicals and physiological states, offering a non-invasive way to monitor dietary intake. The sensors, with a footprint of 2mm x 2mm, transmit data wirelessly in response to radiofrequency signals.
A new impact detection system uses vibration sensors and acoustic sensors to identify bird strikes on wind turbines. The system has shown positive results in detecting collisions, with the potential to improve safety for protected species like bald eagles.
Scientists at Allen Institute and University of Washington developed scalable SPLiT-seq method to characterize RNA in individual cells, enabling identification of various cell types in the brain. The technique significantly lowers the cost barrier for labs that want to perform single-cell profiling.
The Protein Society has awarded Minfei Su and Chang-Ting Lin the 'Best Paper' award for their research on autophagy, a critical process in eukaryotic cells. The winners' work investigates the structural and thermodynamic details of protein interactions, shedding light on cellular homeostasis and evolution.
Researchers have developed novel T cell immunotherapies using custom-made receptors called synNotch that can precisely target cancer and autoimmune diseases. The technology has the potential to overcome major hurdles in T cell immunotherapies, leading to more favorable treatment outcomes for patients.
A new, portable microfluidic device has been developed to facilitate single-cell analysis and identify fibroblast subtypes in rheumatoid arthritis (RA) patients. The device, which can be assembled for $600, enables researchers to profile joint synovial tissue from RA patients on-site, optimizing sample quality.
A highly sensitive and selective ELISA for cetuximab determination in human plasma samples has been developed. The assay limit of detection was 0.0015 μg/mL and the effective working dynamic range was 0.005-6.25 μg/mL.
A groundbreaking new wearable device is being presented at the AAAS annual meeting, which uses stretchable electronics to monitor patients' swallowing ability, heart function, muscle activity, and quality of sleep. The sensor aids in aphasia diagnosis and treatment, providing a 'game-changer' for stroke recovery outcomes measurement.
Researchers at Princeton University have developed a software tool using machine learning to predict reaction yields, reducing time and cost for synthesizing new medicines. The tool, which can handle up to four reaction components, uses random forest models to accurately forecast yields for thousands of reactions.
Engineers have developed wearable tissue paper sensors that can detect human movement, such as a pulse, blink, and finger force. The sensors are light, flexible, and inexpensive, with potential applications in healthcare, entertainment, and robotics.
A ground-breaking partnership between Congenica and FutureNeuro aims to improve diagnosis accuracy in genetic epilepsy. The new software will work with electronic health records to provide clinicians and patients with tailored treatment decisions.
Researchers at University of Cincinnati are developing cutting-edge methods to overcome the barrier of human skin for biometric sensors. The devices can measure things optically, chemically, electrically, and mechanically without compromising the skin's ability to prevent infection and dehydration.
Researchers at Rice University have created a new type of gas sensor that can monitor microbes' health and activity in soil without disturbing them. The sensor uses genetically engineered microbes to report on their environment and activity, providing valuable data for bioengineers, geobiologists, and other researchers.
Researchers at Iowa State University have developed a new graphene printing technology that produces electronic circuits with low cost, flexibility, and conductivity. The technology uses laser processing to create water-repelling surfaces on graphene flakes, opening up possibilities for self-cleaning wearable electronics and sensors.
Researchers from McGill University develop a miniature life detection platform to identify and analyze microorganisms in extreme environments, providing proof-of-concept for direct life detection on Mars and other planets. The technique has potential applications on Earth, including detecting pathogens during epidemics in remote areas.
An international research team created an ultrathin electronic magnetic sensor that can be worn on skin, enabling a touchless manipulation of virtual and physical objects. The device uses magnetic fields to detect body motion and translate it into the virtual world.
Researchers at MIT have developed a system that uses electric fields to manipulate droplets of chemical or biological solutions on a surface. This new approach enables parallel testing of thousands of reactions and could revolutionize the field of biological research.
Researchers develop a modular 'life detection platform' to directly detect and characterize microorganisms in extreme environments. The platform uses existing low-cost technology in new ways, enabling real-time analysis of microbial ecology and DNA sequencing.
UConn researchers have created a biodegradable pressure sensor that can be implanted in the body to monitor conditions like chronic lung disease and swelling of the brain. The sensor emits a small electrical charge when pressure is applied, allowing for non-invasive monitoring and potential treatment via electrical stimulation.
A new study introduces a fully 3D-printed whisker sensor that detects underwater vortexes with high sensitivity. The sensor's design, made of polyurethane, graphene, and copper tape, mimics the whiskers of a sea animal.
Dr. Heidi M. Sosik has made significant contributions to phytoplankton ecology and sensor development, with notable applications in monitoring harmful algal blooms and promoting ocean science education. She will be formally recognized as a Fellow of The Oceanography Society at the Ocean Sciences Meeting in February 2018.
Developed in Brazil, the device measures temperatures in a wide band between 80-750 kelvin using spectroscopy and has applications in manufacturing and biological processes. It can be used in electronic equipment identification and detection of viral or bacterial infections.
Physicists at the University of Sussex have developed a new, affordable, and non-invasive wearable health monitor that can detect heart and breathing abnormalities in babies. The technology uses graphene-based liquid sensors to track vital signs wirelessly.
A study from Coventry University and the Royal Horticultural Society found that bad digging techniques can double the load on joints, increasing risk of osteoarthritis. Good gardening practice involves regular, repetitive motion to minimize back bends and large knee bends.
A new technique uses interactive software to analyze digital images of giant panda footprints, identifying individual animals and their sex with high accuracy. The system's ease of use makes it suitable for studying elusive species like the giant panda.
A University of Sydney team has developed quantum control techniques to enable ultra-sensitive quantum sensors that can identify tiny signals while rejecting background noise. The new protocols reduce spectral leakage by many orders of magnitude over conventional methods, with applications in medicine and defence.
Researchers developed a quantum sensor that mimics the ampullae of Lorenzini found in sharks to detect small electrical signals. The sensor performed well in ocean-like conditions and maintained its functionality despite being immersed in saltwater, making it suitable for various applications.
Researchers at Brown University have created software that allows users to control robots remotely using virtual reality, enhancing the manipulation tasks of autonomous robots. The system uses a robot's sensors to create a point-cloud model of the environment, transmitted to a remote computer connected to a virtual reality headset.
Cornell University engineers have developed event-based algorithms mimicking neural activity for tiny robots, enabling greater autonomy and adaptability. The technology aims to improve micro-robots' ability to navigate complex environments without increasing their weight or power consumption.
Researchers from MIT's CSAIL team show that keeping an equal distance between cars reduces traffic jams, enabling drivers to reach their destinations almost twice as quickly. The approach, known as bilateral control, could be achieved through software and hardware updates, without requiring extensive infrastructure changes.