Articles tagged with Laboratory Equipment
The new synergistic PCR (sPCR) technique developed by Curiosity Diagnostics combines the advantages of analogue and digital PCR methods. It offers faster analysis times, reduced calibration requirements, and increased accuracy in detecting genetic material. The method is particularly useful for laboratory staff to independently verify ...
Researchers at UT Austin have developed a material that can detect a wide range of chemicals quickly and cheaply, leading to major public health gains. The innovation enables rapid on-site detection of chemicals, reducing costs associated with cleaning up spills, remediating sites, and operating medical imaging devices.
Researchers have successfully tested the sensitivity of balloon-borne infrasound detectors, detecting explosions up to 250 miles away. The high-altitude balloons were found to be effective at eliminating wind noise and amplifying infrasound signals.
Lenvio Inc. has exclusively licensed Hyperion, a malware behavior detection technology from Oak Ridge National Laboratory (ORNL), to quickly identify malicious software behavior. This technology improves upon traditional signature detection methods, providing a new class of cyber protection against large-scale cybersecurity threats.
The University of Utah will receive a cryo-electron microscope, enabling precise imaging of life's building blocks at an atom-by-atom scale. The instrument will help researchers study protein complexes and understand biological processes.
A robotic system is being used to study corn's root growth during drought conditions, a crucial step towards developing drought-tolerant crops. The system, called Vinobot, collects data on individual plants and helps researchers create 3D images of root growth in the laboratory.
Researchers at MIT create a new 3D-printed device that responds to mechanical stresses by changing the color of its surface, inspired by the golden tortoise beetle. The device has potential applications in flexible sensor-laden robots and self-assembling structures.
Researchers have developed a new tool called CRISPETa, which allows for easy and efficient DNA deletion using CRISPR-Cas9. The software can design optimised pairs of sgRNAs for deleting specific regions of non-coding DNA.
A new software tool, CRISPETa, has been developed to efficiently delete non-coding DNA in living cells using CRISPR-Cas9 technology. This innovation has the potential to revolutionize our understanding of the genomic basis of disease and may lead to discovery of new disease-causing genes and potential new drugs.
Researchers developed software RODEO to identify clusters of genes indicating an organism's ability to synthesize therapeutically promising molecules. The tool uses machine learning approach to recognize predictive genomic features and has been successfully applied to a class of molecules called lasso peptides.
The 'Brainhack 2016 Project Reports' collection features eight project reports applying open science to advance brain understanding. Researchers developed tools like the Semi-automated Robust Quantification of Lesions (SRQL) Toolbox and Mindcontrol, a web-based dashboard for collaborative neuroimaging data quality control.
A new program, ROOTS, aims to develop drought-resistant crops with improved root function and plant health monitoring. Researchers are adapting miniaturized sensing technologies to monitor root productivity and detect stress signals in real-time.
The Nutrient Sensor Challenge aims to develop affordable and accurate nutrient sensors for aquatic environments. Winners will be announced at the ASLO meeting on March 2, marking progress in reducing nutrient pollution.
Researchers developed a miniature tripler that generates UV pulses with high efficiency and miniaturization, overcoming previous limitations. The device uses software optimization to achieve a factor of three increase in efficiency.
A NASA-funded balloon carrying a telescope was left on the ice in Antarctica for a year before its instruments were recovered. The GRIPS project studied high-energy particles generated by solar flares, with findings providing new insights into these giant eruptions on the sun.
The SnowEx mission aims to determine which combination of sensors works best for collecting global snow-water measurements, critical for understanding and managing freshwater resources. The team will fly multiple airborne sensors over Grand Mesa, Colorado, to evaluate their performance in measuring snowpack properties and SWE.
Researchers have developed a new handheld instrument for minimally invasive surgery, providing the same benefits as robot-assisted surgery at a lower cost. The technology could increase access to advanced laparoscopic instruments in rural hospitals and medical centers.
The public can participate in searching for undiscovered worlds in the outer reaches of our solar system and beyond. A new website, Backyard Worlds: Planet 9, uses brief movies made from WISE images to highlight moving objects, which can be discovered by human eyes.
Sandia National Laboratories has received a $2.5 million award to develop open-source algorithms for managing power systems with increasing numbers of distributed energy resources, such as wind and solar. The project aims to optimize distributed energy resources and improve grid resilience.
Researchers now have unprecedented access to space-weather data from 23 GPS satellites, measuring charged particles and their impact on satellite operation. This data helps answer key questions about space weather events, enabling improved forecasting models.
Researchers at Swansea University have developed a technique to engineer electrical contacts on nanoscale structures, enabling the creation of enhanced devices based on nanomaterials. This breakthrough has significant implications for future technologies, including energy-harvesting clothing and advanced biosensors.
Researchers at Uppsala University have developed a cost-effective method for live cell imaging using smartphones, enabling laboratories worldwide to study cellular responses to treatments. The innovative system utilizes 3D-printed parts and off-the-shelf electronics, providing excellent cell culture conditions and high-resolution imaging.
A team of scientists has created a device that screens breath samples to classify and diagnose several types of diseases, including kidney cancer and Parkinson's disease. The breathalyzer uses an array of nanoscale sensors to detect unique volatile chemical components in exhaled breath.
ORNL's technologies help in disaster response, urban planning, and energy management. Researchers have developed novel fluorescent air leak detection systems, faster scanning methods for microscopy, and more efficient motors for electric vehicles.
Researchers at Saarland University and CISPA create 'vatiCAN' software to secure CAN bus communications in vehicles. The software authenticates messages, preventing hackers from masquerading as legitimate devices or forging information.
The Brookhaven-led SOLLVE project aims to standardize OpenMP functionality features for exascale applications, while the CODAR co-design center focuses on developing services for online data analysis and reduction. This will enable scientists to gain insights from data at exascale systems.
The ECP has selected four co-design center proposals, focusing on co-optimizing applications, data services, and exascale platforms. The Block-Structured AMR Co-Design Center aims to develop a new framework for solving complex PDEs on exascale architectures.
The Exascale Computing Project has awarded $34 million in software development funding to 35 research organizations, covering various components of the software stack for exascale systems. The funding aims to enable application developers to write highly parallel applications that can target diverse exascale architectures.
The CU Boulder instrument suite, EXIS, will measure energy output from the sun that can affect satellite operations, telecommunications, GPS navigation, and power grids on Earth. The instruments will provide rapid alerts for solar flares and monitor extreme ultraviolet light wavelengths.
The Light Plate Apparatus (LPA) brings optogenetics within reach of most biology labs with low-cost, easy-to-use hardware and software. Researchers can now incorporate optogenetics testing into their labs without extensive engineering or programming training.
Researchers at MIT have demonstrated a comprehensive autonomous mobility system using driverless cars, golf carts, and scooters, all controlled by the same software. The system's modular design allows for easy deployment in new contexts and enables seamless information transfer between vehicles, enhancing overall performance.
Researchers developed a framework to optimize liquid-crystal-based sensors for detecting specific chemicals, enabling portable and inexpensive detection. The approach uses computational chemistry and liquid crystals to create sensitive materials that can be used in various applications.
Researchers have developed sensors based on binary metal oxide nanocomposites that can detect gas leaks, including those potentially linked to terrorist attacks. The sensors utilize chemisorption centers to facilitate gas molecule adsorption, enabling fast response times.
The Jefferson Project at Lake George will complete its 41-sensor network, collecting real-time data on lake water quality and circulation. The project aims to improve knowledge of the lake ecosystem and support effective protection for generations to come.
The LifeWatchGreece team publishes a vast collection of peer-reviewed scientific outputs, including software descriptions, data papers, taxonomic checklists and research articles, to demonstrate the availability and applicability of their e-Services and Virtual Laboratories.
The PheNode, a solar-powered environmental sensor and phenotyping station, continuously monitors field crops for growth rate, stem diameter, height, and more. It provides crucial information for crop improvement and precision agriculture, helping growers make better decisions to manage their crops and reduce environmental footprint.
MIT engineers have transformed spinach plants into sensors that can detect explosives and wirelessly relay information to a handheld device. The carbon-nanotube-enhanced plants send an alert when sensing dangerous chemicals, making them ideal for environmental monitoring.
A new robotic technique developed by Georgia Tech researchers enables the reuse of pipettes in patch-clamping, a method used to record signals from brain cells. The technique has been shown to produce results comparable to those obtained with fresh pipettes and holds promise for accelerating neuroscience research.
Researchers in Mainz develop a novel method to benchmark and improve the performance of protein measurement techniques, ensuring consistent results across various analysis software packages. This breakthrough enables widespread adoption of mass spectrometry-based quantitative proteomics for disease diagnosis and research.
A team of scientists at Ames Laboratory will develop a subdiffraction Raman imaging platform to analyze plant cell walls' chemical structures. This will enable better understanding of how to convert plant material into biofuels.
A new, inexpensive method for detecting chloride concentrations in sweat has been developed by Penn State biomaterials scientists. The fluorescent sensor is highly sensitive and selective for chloride, the key diagnostic marker in cystic fibrosis.
RIT engineers will use the ICP-RIE system to fabricate complex semiconductor devices, including light-emitting diodes and lasers. The new equipment strengthens RIT's fabrication capability in its Semiconductor & Microsystems Fabrication Laboratory.
A photon-sensing scheme has been conceptualized for a detector that mimics a miniature trampoline, featuring enhanced sensitivity. The sensor utilizes a suspended micro-bridge to detect tiny displacements caused by photons, minimizing movement and overcoming inherent limitations.
The new motor uses a precisely machined hollow iron ball to move in any direction using electronic controls, reducing mechanical failures and maintenance. SIMbot can maintain its balance while moving at speeds of up to 1.9 meters per second, making it capable of navigating through doorways and furniture.
A color-changing smart material sensor, developed by USC researchers, notifies users of their total UV exposure, allowing them to strike a balance between Vitamin D production and skin cancer prevention. The flexible patch, made from FDA-approved non-toxic polymers, works without a power source and can be stored for up to five weeks.
The CHARA Array, a world-leading optical interferometer, has been upgraded with a $3.9 million grant from the NSF. This new funding will enable scientists worldwide to access the Array's powerful telescopes and explore stars and planets in unprecedented detail.
Researchers at Caltech have discovered a new breed of optical soliton wave that can travel in the wake of other solitons, hitching a ride on their energy. This phenomenon has been observed in light waves and has applications in highly accurate optical clocks and microwave oscillators.
Researchers at TUM have developed molecular sensors from deep-sea jellyfish proteins to measure electrical activity in heart cells. This allows for the identification of specific cell types and improves disease modeling and drug testing.
Researchers at Iowa State University have successfully treated inkjet-printed graphene with lasers, improving its electrical conductivity without damaging fragile printing surfaces. The breakthrough technology enables the creation of low-cost and disposable graphene-based electrochemical electrodes for various applications.
The US Department of Energy is investing $16 million in two four-year projects to develop software for designing new functional materials. The research teams will use supercomputers to model and simulate material behavior, with the goal of revolutionizing alternative energy, electronics, and other fields.
Researchers at Iowa State University are developing an extreme quantum terahertz nanoscope to study materials at unprecedented scales of space, time and energy. The instrument will enable the discovery of new states of matter and manipulate electrons with minimal heating.
The University of Texas at Arlington has received a $343,104 Navy grant to test the performance of batteries in full shipboard systems. With the OPAL-RT Hardware in the Loop platform, researchers will simulate battery behavior and predict its integration with shipboard systems.
Tropical Storm Omais is weakening due to its elongation and moving northwards, posing a threat to northern Japan. NASA's satellite images reveal the storm's strongest thunderstorms are located over northern Japan, with coldest cloud tops detected.
Dellingr will study Earth's outer atmosphere, creating a chemical and electromagnetic profile using its miniaturized mass spectrometer and magnetometer systems. The satellite's findings will help understand changes in our space weather and impact on satellites.
Researchers developed an enzyme-based sensor that uses sweat to detect lactate levels, indicating potential muscle fatigue, stress, and dehydration. The sensor is powered by a biofuel cell, providing a renewable power source for a sustainable wearable device.
Researchers at MIT have developed a new space boot with built-in sensors and haptic motors that can guide the wearer around or over obstacles. The boot uses vibrations to provide navigation cues, which could be beneficial for both astronauts in space and visually impaired individuals on Earth.
Researchers aim to create a sensor that can coat medical implants and use X-ray beams to detect localized bacterial infections. The goal is to cure these infections early, reducing costly and tedious surgical procedures.
The PPPL and Princeton University are participating in a high-performance computing project with the Intel Parallel Computing Center Program. The goal is to modernize the GTC-P code, which was originally developed for fusion research applications.
The Bellerophon Environment for Analysis of Materials (BEAM) platform unites imaging technologies with advanced data analytics and high-performance computing to accelerate materials discovery and design. This innovation enables near-real-time processing, analysis, and visualization of large experimental datasets.
Researchers have developed an optical magnetic field sensor that can detect ultra-small magnetic fields from the nervous system. The sensor uses a gas of caesium atoms and measures electrical impulses without contact, offering new possibilities for medical diagnoses.