330 million US dollars! This laser ophthalmic treatment developer has been acquired

The time/frequency unit is the most accurate among the seven basic units, so many measurement studies that pursue ultra-high accuracy and sensitivity will be transformed into frequency measurements to achieve higher measurement accuracy and sensitivity. For example, by measuring the relative changes in the ratio of different atomic transition frequencies, ultralight dark matter can be detected or ...

Sivers Semiconductors AB announced that its subsidiary Sivers Photonics has received a new order worth $1 million for advanced optical sensing products from three customers in the fields of LiDAR, Medical, and Industrial.In the first half of the fourth quarter of 2023, new orders were received from several US clients, which will lead to the manufacturing of advanced lasers and optical amplifiers f...

Scientists from the Federal Institute of Technology in Lausanne (EPFL) have successfully miniaturized a powerful erbium-based erbium laser on silicon nitride photonic chips. Due to the large volume and difficulty in shrinking of typical erbium-based fiber lasers, this breakthrough is expected to make significant progress in optical communication and sensing technology.Since the 1960s, lasers have ...

Figure: a. Schematic diagram of the HCF-LN-CPPLN experimental setup. W. CaF? Window M, mirror.b. The bright white light circular spots emitted by the CPPLN sample.c. The first-order diffraction beam of B displays a colorful rainbow pattern from purple to red.d. The HCF-LN-CPPLN module generates normalized spectra of the output full spectrum laser signal through the second NL HHG and third NL SPM e...

It is reported that researchers from Foshan University, the Institute of Chemical Defense of the Academy of Military Sciences, the National Defense Technology Key Laboratory of Equipment Remanufacturing Technology of the Armored Forces Academy, and Chengdu State owned Jinjiang Machinery Factory have summarized and reported the latest progress of machine learning in defect detection and prediction ...