Melles Griot Light Sources Group
Company Description
For over 35 years, Melles Griot Light Sources Group has designed and manufactured custom Diode, Solid State, and Gas lasers, laser assemblies and laser light engines for the most demanding OEM applications. As the world's leading supplier of Helium Neon gas lasers, Melles Griot offers a broad selection of products for applications requiring unmatched M2 performance, narrow linewidth, frequency stabilized, and long operating lifetimes at affordable prices. We maintain an ongoing commitment to technology development, state-of-the-art equipment, and world-class manufacturing processes. Most importantly, we understand how to deliver our technology to create a laser solution that performs, now and in the future.
Chief Spectroscopic Techniques Supported
- FT-IR
- FT-Raman
- Ellipsometry
Markets Served
- Biotechnology
- Chemistry, chemical engineering
- Holography
- Imaging
- Inspection/identification
- Material research
- Materials processing
- Medical/biomedical
- Microscopy
- Process control
- Reprographics/printing
- Semiconductor processing
- Spectroscopy
- Test & measurement
Major Products/Services
High volume manufacturer of laser diode assemblies, electro optical assemblies, DPSS laser systems, HeNe laser systems, and argon/argon krypton lasers.
Melles Griot Light Sources Group
2051 Palomar Airport Road, 200 Carlsbad, CA 92011
TELEPHONE
(760) 438-2131
FAX
(760) 438-5208
E-MAILmglasers@idexcorp.com
WEB SITEwww.mellesgriot.com
NUMBER OF EMPLOYEES
175
YEAR FOUNDED
1979
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.
