Coupling mid-infrared “idler” photons with near-infrared “signal” photons enables cheaper, smaller and more efficient machines for uses such as greenhouse gas monitoring to medical diagnostics.

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230230 discusses a high-sensitivity LITES-based gas sensor empowered by a novel quartz tuning fork and a multi-pass cell with dense ...

Discover how advanced gas detection technologies contribute to smarter, more effective climate action strategies.

Researchers have developed a method for quickly detecting and identifying very low concentrations of gases, which, could form the basis for highly sensitive real-time sensors for applications such as ...