OptiGrate Corp. designs and manufactures ultra-narrow band optical filters based on volume Bragg grating (VBG) technologies in proprietary photo-thermo-refractive glass. Filters with ultra-narrow bandwidth are formed by holographic techniques in the bulk of glass material, and demonstrate superior optical quality, outstanding durability, environmental stability, and high optical damage threshold. OptiGrate is a pioneer and world leader in VBG technologies. For over 15 years, OptiGrate has delivered holographic optical elements (HOE) to a large number of government contractors and OEMs in optoelectronics, analytical, medical, defense, and other industries.
OptiGrate supplied ultra-narrow band filters to hundreds of customers on five continents. These filters are used for: Raman spectroscopy and microscopy; semiconductor, solid state, and fiber lasers; hyperspectral and Raman imaging systems; ultrafast laser systems; optical recording and storage; medical diagnostics and treatment; and more.
OptiGrate moved to a new location in Oviedo, Florida, to accommodate an increased demand for the firm's volume Bragg grating (VBG) products and allow for future expansion. The new 10,000 sq. ft., state-of-the-art facility was specially designed and engineered for production of VBG filters. The facility-the only vertically integrated VBG production plant in the world-includes a photo-thermo-refractive glass production unit, a VBG holographic production unit, and a VBG laser application development lab.
OptiGrate Corp.
562 South Econ Circle
NUMBER OF EMPLOYEES
40
YEAR FOUNDED
1999
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.