Alluxa offers and manufactures high-performance optical thin films that are used in wide ranging applications including life sciences, research, semiconductor, and LIDAR. All of Alluxa's thin-film optical filters and mirrors are hard-coated using a proprietary plasma deposition process on equipment that was designed and built by our team. This allows us to repeatably produce the same high-performance optical thin films in all of our coating chambers.
Alluxa is an ISO 9001:2008 certified, ITAR registered, optical coating manufacturer located in Santa Rosa, California. Founded in 2007 by a team of thin-film deposition veterans, Alluxa's core team brings together decades of expertise and diverse backgrounds in deposition, automation, metrology, and optics.
We serve a wide range of markets including: Aerospace, astronomy, automotive, biotechnology, chemical technology, communications, environmental monitoring and sensing, forensic science, imaging, inspection and identification, lighting, machine vision, research, medical and biomedical, microscopy, military, photonics manufacturing, remote sensing, LIDAR, and spectroscopy.
Santa Rosa, California
Alluxa, Inc.
3660 N Laughlin Rd.
Santa Rosa, CA 95403
TELEPHONE
1 (855) 4ALLUXA
FAX
(707) 284-1371
E-MAILino@alluxa.com
WEB SITEwww.alluxa.com
NUMBER OF EMPLOYEES
USA: 65
YEAR FOUNDED
2007
CRAIC Technologies Announces Launch of Maceral Identification Solution for Coal Analysis
July 3rd 2025In a press release, CRAIC Technologies announced the launch of its novel maceral identification solution that is designed to improve coal analysis. This new system contains high-speed imaging, servo-driven scanning, and intelligent software that work together to generate more accurate maceral analysis.
Evaluating Microplastic Detection with Fluorescence Microscopy and Raman Spectroscopy
July 2nd 2025A recent study presented a dual-method approach combining confocal micro-Raman spectroscopy and Nile Red-assisted fluorescence microscopy to enhance the accuracy and throughput of microplastics detection in environmental samples.
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.