05.14.25 -- Neuromorphic Computing Breakthrough, Improving Signal To Noise Ratio & More

The path to improving signal-to-noise ratio - the ratio of the power of signal (desired input) to the power of background noise (undesired input) - is to reduce the power of the noise – less background.

Accuracy is how the measured value compares to the real value. However, because it is impossible to make perfect measurements, the “real” value is fundamentally unknowable. Accuracy is a qualitative term, without a numerical specification.

Atomic force microscopes (AFMs) are versatile tools for characterizing surfaces down to the subnanometer scale. Researchers can build their own AFMs for as little as $30,000 using off-the-shelf components such as nanopositioning stages.

The development of InGaAs sensors has enabled the practicality of using the shortwave infrared (SWIR) spectrum for imaging applications. This article discusses the basics of SWIR imaging and the benefits of using InGaAs technology and its use with thermal imaging.

Off-the-shelf microscope objectives pose limitations for modern imaging applications. Discover how customized objectives overcome these issues, ensuring high instrument repeatability.

Transducers are electro-mechanical devices that convert electrical energy to mechanical energy or vice versa. A well-known and widely used transducer is the so-called "voice coil" transducer that is based on electromagnetic principles and finds applications in speakers and sub-woofers.

Photonics improves LiDAR by unlocking new levels of reliability and scalability for automotive technologies. In the early days of autonomous vehicles and advanced driver assistance systems (ADAS), mechanical spinning LiDAR sensors were the industry standard. Still, they came with major trade-offs in size, cost, and durability. Today, the automotive world is shifting toward solid-state, photonics-enabled systems.