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04 Nov 25
Umeå and China group develop ‘random’ laser made from bio-materials

Birch leaf and peanut kernel-based source could be a cheap, accessible tool for diagnostics and imaging.

03 Nov 25
Aalto University slows AMD progression with laser heating

Energy from laser source triggers healing response at cellular level, if temperature is controlled.

03 Nov 25
imec breaks performance record in super-cooled thin-film strontium titanate

Breakthrough in material engineering “accelerates the roadmap for quantum applications”.

30 Oct 25
Q.ANT raises another $18 M to drive its photonic AI infrastructure

Duquesne Family Office cash makes Native Processing Server “one of Europe’s best-funded AI accelerator techs”.

30 Oct 25
Pensievision named winner of Luminate NY OPI Accelerator competition

Company awarded $1 million in investment; four further companies secure follow-on funding.

29 Oct 25
Innsbruck and Harvard develop new way to generate laser light – without mirrors

Yields highly stable optical references for quantum sensors, clocks, and on-chip devices.

29 Oct 25
German Navy could be using Rheinmetall laser weapon ‘by 2029’

Announcement follows successful completion of trial phase at sea with MBDA.

29 Oct 25
Astera Labs to acquire aiXscale Photonics

Nasdaq-listed AI infrastructure provider Astera wants to use fiber-chip coupling in photonic scale-up solutions.

29 Oct 25
Duke University AI-powered microscope speeds up imaging and data processing...

...while another Duke project uses embedded GPU for blood profiling in point-of-care diagnostics.

29 Oct 25
Vermeer raises $10M for optical drone navigation

US-Ukraine startup's GPS-free technology already being used on the battlefield.

28 Oct 25
University of Würzburg develops the ‘smallest pixels in the world’…

…and Bonn discovers that photons prefer to inhabit state shared by many others.

28 Oct 25
Exosens adds €17M to European investment plan

French producer of image intensifier tubes and other defense-related optics extends capacity ramp amid higher NATO spending.

Surface Quality Control for Maximizing LIDT in High-PowerLaserOptics 06 Oct

Optoman in collaboration with Dioptic

In high-power laser systems, the optical components' resilience to laser-induced damage directly determines performance, reliability, and service life. Even minor surface or subsurface imperfections can severely compromise the laser-induced damage threshold (LIDT), introducing failure points that limit system capability.

Identifying Optical Materials with Precision Accuracy 04 Mar

Knight Optical

Precision accuracy is a critical necessity with any optical component. Rigorous testing to ensure strict compliance with given requirements will always be essential; it is a vitally important demand within any industry sector. Dimensional, surface profiling and optical performance testing are significant aspects of this process, but an additional layer of assurance and quality can be achieved with the use of material verification, employing methods such as refractive index, density testing and transmission measurement. This White Paper explores advanced techniques for precise optical material verification, overcoming the limitations of traditional testing methods.

Choosing the best spectrometer for NIR OCT 02 Apr

Wasatch Photonics

Near infrared optical coherence tomography has traditionally been limited to imaging depths of just a few millimeters, but with our expanded line of OCT spectrometers, up to 12 mm is possible. In this tech note, we explore and compare three different drop-in spectrometer models designed to serve a wide range of resolution, depth, and size requirements in NIR OCT imaging.

Harnessing Einstein’s Photoelectric Effect: Advancements in LiDAR Technology and Its Impact on Modern Sensors 26 Aug

Hamamatsu Photonics Europe

Hamamatsu Photonics is leading the evolution of LiDAR with advanced sensor technologies that enhance precision and reliability. Their Time-of-Flight systems, based on Einstein’s photoelectric effect, use rapid laser pulses and sophisticated detectors - Avalanche Photodiodes (APDs) and Silicon Photomultipliers (SiPMs) - to capture real-time distance data with exceptional accuracy. Optimized for thermal stability and energy efficiency, these sensors are ideal for autonomous vehicles, robotics, and smart devices. Hamamatsu’s continued innovation in APD and SiPM technologies is accelerating the integration of intelligent systems into everyday life.

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