miDiagnostics, which is using silicon chip technology that will bring miniaturized, rapid, easy-to-use, lab-quality tests with built-in connectivity direct to the patient and clinician regardless of location, today announces the completion of a €14m investment round. This technology has potential to deliver rapid test results in multiple settings, including future pandemics.
MEMS
Scientists Model Conditions of Ischemia on a Microfluidic Device
Researchers led by biomedical engineers at Tufts University invented a microfluidic chip containing cardiac cells that is capable of mimicking hypoxic conditions following a heart attack – specifically when an artery is blocked in the heart and then unblocked after treatment. The chip contains multiplexed arrays of electronic sensors placed outside and inside the cells that can detect the rise and fall of voltage across individual cell membranes, as well as voltage waves moving across the cell layer, which cause the cells to beat in unison in the chip, just as they do in the heart.
Double-Walled Nanotubes Have Electro-Optical Advantages
One nanotube could be great for electronics applications, but there’s new evidence that two could be tops. Rice University engineers already knew that size matters when using single-walled carbon nanotubes for their electrical properties. But until now, nobody had studied how electrons act when confronted with the Russian doll-like structure of multiwalled tubes.
Worldwide Server and Enterprise Storage Systems Markets Will Decline in 2020, Impacted by the COVID-19 Pandemic, According to IDC
End user spending on IT infrastructure (server and enterprise storage systems) will decline in 2020 as a result of the widespread coronavirus pandemic. According to the International Data Corporation (IDC) Worldwide Quarterly Server Tracker and Worldwide Quarterly Enterprise Storage Systems Tracker, under the current probable scenario server market revenues will decline 3.4% year over year to $88.6 billion and external enterprise storage systems (ESS) revenues will decline 5.5% to $28.7 billion in 2020.
New Fabrication Approach Paves Way to Low Cost Mid-Infrared Lasers Useful for Sensing
For the first time, researchers have fabricated high-performance mid-infrared laser diodes directly on microelectronics-compatible silicon substrates. The new lasers could enable the widespread development of low-cost sensors for real-time, accurate environmental sensing for applications such as air pollution monitoring, food safety analysis, and detecting leaks in pipes.
Juniper Research: Coronavirus to Cause $42 Billion Revenue Gap in Global Consumer Device Shipments over the Next 9 Months
New analysis from Juniper Research found that Coronavirus could cause around a $42 billion revenue gap over the next 9 months for smart device vendors. The analysis examined a number of key device verticals including smartphones, tablets, consumer robotics, smart speakers and smart wearables. Three impact scenarios, low, medium and high, illustrate a range of possible outcomes.
SiTime Boosts Performance, Reliability, and Extends Battery Life for Several Garmin Devices
SiTime Corporation (NASDAQ: SITM), a market leader in MEMS timing, today announced that Garmin International, Inc., a unit of Garmin Ltd. (NASDAQ:GRMN), has chosen SiTime’s MEMS timing solutions for several of Garmin’s automotive, aviation, marine, fitness, and outdoor products.
CEVA Announces DSP and Voice Neural Networks Integration with TensorFlow Lite for Microcontrollers
CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced that its CEVA-BX DSP cores and WhisPro™ speech recognition software targeting conversational AI and contextual awareness applications now also support TensorFlow Lite for Microcontrollers, a production ready, cross-platform framework for deploying tiny machine learning on power-efficient processors in edge devices.
New Material Developed Could Help Clean Energy Revolution
Researchers developed a promising graphene-carbon nanotube catalyst, giving them better control over hugely important chemical reactions for producing green technology and clean energy.
Wearable Strain Sensor Using Light Transmittance Helps Measure Physical Signals Better
KAIST researchers have developed a novel wearable strain sensor based on the modulation of optical transmittance of a carbon nanotube (CNT)-embedded elastomer. The sensor is capable of sensitive, stable, and continuous measurement of physical signals. This technology, featured in the March 4th issue of ACS Applied Materials & Interfaces as a front cover article, shows great potential for the detection of subtle human motions and the real-time monitoring of body postures for healthcare applications.
