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 ...

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

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 ...

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 ...