Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Micro-sized tunable liquid crystal optical filters

Abstract

Liquid crystal arrayed microcavities (LCAM) is a new technology for ultra-narrow optical filtering (FWHM 0.1nm) that uses picoliter volume Fabry–Perot-type optical cavities filled with liquid crystal for tuning. LCAMs are sub-nm spectral resolution filters, which utilize well-established laser writing, thin film deposition, and wafer manufacturing techniques. These filters are compact, robust, and inexpensive. Compact, high-resolution optical filters have applications, including biomedical imaging, chemical detection, and environmental monitoring. Here, we describe the LCAM design and initial performance metrics.

© 2017 Optical Society of America

Full Article  |  PDF Article
More Like This
Narrowband multispectral liquid crystal tunable filter

Marwan Abuleil and Ibrahim Abdulhalim
Opt. Lett. 41(9) 1957-1960 (2016)

Electrically tunable whispering gallery mode microresonator based on a grapefruit-microstructured optical fiber infiltrated with nematic liquid crystals

Chengkun Yang, Hao Zhang, Bo Liu, Shiwei lin, Yuetao Li, and Haifeng Liu
Opt. Lett. 42(15) 2988-2991 (2017)

Plasmonic nanohole electrodes for active color tunable liquid crystal transmissive pixels

Richard Bartholomew, Calum Williams, Ammar Khan, Richard Bowman, and Timothy Wilkinson
Opt. Lett. 42(14) 2810-2813 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.