Research on LC-based spectral imaging system for visible band

作者
Zhixue Shen,Jian‐Feng Li,Dayong Zhang,Yongquan Luo,Yan Long,Lixian Huang,Haitao Liu,Fei Luo
出处
期刊:Proceedings of SPIE [SPIE]
卷期号:8181: 81811U-81811U 被引量:5
标识
DOI:10.1117/12.897370
摘要

LC-based spectral imaging is a novel spectral imaging technology using the liquid crystal tunable filter(LCTF), which is a miniaturized device based on the electrically controlled birefringence of nematic liquid crystal. Continuously tuning electrically controlled through a spectral coverage is realized using LCTF under low voltages. Spectral imaging system based on LCTF is a miniaturized, multi-functional and real-time system with high spatial resolution and spectral resolution, which means that more and further information about the Earth and its resources can be acquired for new applications in large-scale mapping and environmental monitoring. LC-based tunable filter with large aperture has been developed utilizing the effect of electric controlled birefringence. Spectral test indicates that this filter can operate on the visible band with average 20 nm FWHM. A small scale spectral imaging system is established based on this tunable filter. Spectral imaging experiments on certain number of samples show that this system can provide continuously, and random-access selection of any wavelength, and has a higher level of resolving power in respect of both imaging and spectral tuning in the visible band, which indicates a brilliant application potentiality in environmental protection, resource detection.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
优秀纸鹤发布了新的文献求助30
1秒前
英姑应助111111aaa采纳,获得10
1秒前
小企鹅完成签到,获得积分10
2秒前
赵云完成签到,获得积分10
3秒前
平常馒头完成签到 ,获得积分10
3秒前
3秒前
lilili完成签到,获得积分10
4秒前
梦与叶落发布了新的文献求助10
4秒前
5秒前
张欢馨应助nav采纳,获得10
5秒前
充电宝应助wwwww采纳,获得10
5秒前
烟花应助wwwww采纳,获得10
5秒前
orixero应助wwwww采纳,获得10
5秒前
星星发布了新的文献求助10
5秒前
研友_VZG7GZ应助wwwww采纳,获得10
5秒前
CipherSage应助wwwww采纳,获得10
5秒前
ding应助wwwww采纳,获得10
6秒前
大个应助wwwww采纳,获得10
6秒前
桐桐应助wwwww采纳,获得10
6秒前
Owen应助wwwww采纳,获得10
6秒前
molihuakai应助wwwww采纳,获得10
6秒前
6秒前
项脊轩完成签到,获得积分10
7秒前
9秒前
树小夏完成签到,获得积分10
9秒前
激昂的逊完成签到 ,获得积分10
9秒前
lillian完成签到,获得积分10
9秒前
Cindy165完成签到 ,获得积分10
10秒前
Nuyoah发布了新的文献求助10
10秒前
文城完成签到,获得积分10
11秒前
12秒前
梦与叶落完成签到,获得积分10
12秒前
Zml200123发布了新的文献求助10
13秒前
13秒前
13秒前
13秒前
more完成签到 ,获得积分10
14秒前
automan完成签到,获得积分10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7614533
求助须知:如何正确求助?哪些是违规求助? 9189908
关于积分的说明 19690645
捐赠科研通 7187315
什么是DOI,文献DOI怎么找? 3271145
关于科研通互助平台的介绍 2434499
邀请新用户注册赠送积分活动 2266144