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. Since May 2017, OptiGrate is a part of the IPG Photonics Family.
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
Oviedo, FL 32765
TELEPHONE
(407) 542-7704
FAX
(407) 542-7804
E-MAILinfo@optigrate.com
WEB SITEwww.optigrate.com
NUMBER OF EMPLOYEES
40
YEAR FOUNDED
1999
Get essential updates on the latest spectroscopy technologies, regulatory standards, and best practices—subscribe today to Spectroscopy.
Rapid Sweetener Detection Achieved Through Raman Spectroscopy and Machine Learning
July 10th 2025Researchers at Heilongjiang University have developed a rapid and accurate method for detecting sweeteners in food using Raman spectroscopy combined with a Random Forest machine learning algorithm, offering a powerful tool for improving food safety.