Teledyne Imaging Sensors: silicon CMOS imaging technologies for x-ray, UV, visible, and near infrared

CMOS芯片 点间距 光电子学 图像传感器 探测器 物理 像素 CMOS传感器 噪音(视频) 材料科学 光学 电气工程 计算机科学 工程类 人工智能 图像(数学)
作者
Yibin Bai,J. Bajaj,James W. Beletic,Mark Farris,Atul Joshi,Stefan Lauxtermann,Anders Petersen,G. Melville Williams
出处
期刊:Proceedings of SPIE 被引量:71
标识
DOI:10.1117/12.792316
摘要

Teledyne Imaging Sensors develops and produces high performance silicon-based CMOS image sensors, with associated electronics and packaging for astronomy and civil space. Teledyne's silicon detector sensors use two technologies: monolithic CMOS, and silicon PIN hybrid CMOS. Teledyne's monolithic CMOS sensors are large (up to 59 million pixels), low noise (2.8 e- readout noise demonstrated, 1-2 e- noise in development), low dark current (<10 pA/cm2 at 295K) and can provide in-pixel snapshot shuttering with >103 extinction and microsecond time resolution. The QE limitation of frontside-illuminated CMOS is being addressed with specialized microlenses and backside illumination. A monolithic CMOS imager is under development for laser guide star wavefront sensing. Teledyne's hybrid silicon PIN CMOS sensors, called HyViSITM, provide high QE for the x-ray through near IR spectral range and large arrays (2K×2K, 4K×4K) are being produced with >99.9% operability. HyViSI dark current is 5-10 nA/cm2 (298K), and further reduction is expected from ongoing development. HyViSI presently achieves <10 e- readout noise, and new high speed HyViSI arrays being produced in 2008 should achieve <4 e- readout noise at 900 Hz frame rate. A Teledyne 640×480 pixel HyViSI array is operating in the Mars Reconnaissance Orbiter, a 1K×1K HyViSI array will be launched in 2008 in the Orbiting Carbon Observatory, and HyViSI arrays are under test at several astronomical observatories. The advantages of CMOS in comparison to CCD include programmable readout modes, faster readout, lower power, radiation hardness, and the ability to put specialized processing within each pixel. We present one example of in-pixel processing: event driven readout that is optimal for lightning detection and x-ray imaging.

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
小丫应助科研通管家采纳,获得20
刚刚
Aimee完成签到 ,获得积分10
刚刚
上官若男应助科研通管家采纳,获得10
刚刚
1秒前
所所应助科研通管家采纳,获得10
1秒前
鳖鳖完成签到,获得积分10
1秒前
yjh123应助科研通管家采纳,获得10
1秒前
懦弱的洙完成签到,获得积分10
1秒前
xjc23应助科研通管家采纳,获得10
1秒前
1秒前
小烊醒醒应助科研通管家采纳,获得10
2秒前
2秒前
初景发布了新的文献求助30
2秒前
江南之南完成签到 ,获得积分10
2秒前
xjc23应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得10
2秒前
脑洞疼应助科研通管家采纳,获得50
2秒前
天天快乐应助科研通管家采纳,获得10
2秒前
桐桐应助科研通管家采纳,获得10
2秒前
3秒前
lily发布了新的文献求助10
3秒前
今天不熬夜完成签到 ,获得积分10
4秒前
oaim完成签到,获得积分10
4秒前
4秒前
alei1203发布了新的文献求助10
4秒前
斯文败类应助Esther采纳,获得10
5秒前
molihuakai应助一路升桦采纳,获得10
5秒前
泷生完成签到,获得积分10
6秒前
llyy完成签到 ,获得积分10
6秒前
6秒前
6秒前
7秒前
7秒前
无情莫英完成签到,获得积分10
7秒前
科研通AI6.2应助Eternity采纳,获得10
8秒前
chen发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
无限的千柔完成签到 ,获得积分10
10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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
Handbook Of Synthetic Methodologies And Protocols Of Nanomaterials 500
Trees of tropical Asia : an illustrated guide to diversity 500
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 光电子学 物理化学 电极 基因 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 6991650
求助须知:如何正确求助?哪些是违规求助? 8668329
关于积分的说明 18377747
捐赠科研通 6462917
什么是DOI,文献DOI怎么找? 3097195
关于科研通互助平台的介绍 2158727
邀请新用户注册赠送积分活动 2073566