A 32x24 pixel SPAD detector system for LiDAR and quantum imaging

图像传感器 雪崩光电二极管 探测器 光电探测器 物理 光子计数 光子 像素 灵敏度(控制系统) CMOS传感器 光电子学 单光子雪崩二极管 光学 计算机科学 电子工程 工程类
作者
Joachim Haase,Sara Grollius,Simon Grosse,Andre Buchner,Manuel Ligges
标识
DOI:10.1117/12.2578775
摘要

We have developed a 32x24 pixel sensor array based on single-photon avalanche diodes (SPADs). Beside conventional 2- dimensional imaging, this sensor allows for precise timing of single-photon arrival times which can be exploited in a variety of technical and scientific approaches like 3D image acquisition, quantum imaging and quantum random number generation. Thus, such a sensor is eligible for many fields of application such as autonomous driving, remote and non-lineof- sight sensing, safety, robotics and more recently random number generation for statistical applications or data encryption. The novel sensor contains CMOS integrated backside illuminated SPADs which are connected to an underlying read-out IC by wafer-to-wafer bonding. Their single-photon sensitivity (quantum efficiency QE=60 % @ 580 nm) and high-speed performance (readout frequency 𝑓 = 25 kHz, temporal resolution 𝑡TDC = 312.5 ps) make the sensor a promising choice for, e.g. quantum imaging with photon-pairs where a 2-dimensional spatial and temporal resolution are as crucial as a low noise level. SPADs also offer exciting opportunities for random number generation by using the randomness of photon generation paired with time-resolved detection and post-processing. Another potential application of the sensor is light detection and ranging for which we integrated the sensor into a demonstrator system for direct time-of-flight measurements. It is capable of coincidence detection using 4 SPADs in each pixel, which allows for background light suppression in outdoor situations. This combination of single-photon sensitivity, precise photon arrival timing and our recent developments in wafer-to-wafer bonding technology gives access to a new generation of optical sensors for a variety of applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
无所畏惧发布了新的文献求助10
刚刚
2秒前
lulu完成签到,获得积分10
4秒前
Hisoka完成签到,获得积分10
4秒前
下山完成签到,获得积分10
5秒前
xuerui完成签到,获得积分10
5秒前
xiuxiuzhang给xiuxiuzhang的求助进行了留言
9秒前
平淡碧完成签到,获得积分10
10秒前
11秒前
11秒前
17853723535完成签到,获得积分10
12秒前
13秒前
13秒前
是山河锦秀完成签到,获得积分10
14秒前
敛涌发布了新的文献求助40
15秒前
16秒前
蝌蚪完成签到,获得积分10
16秒前
莫大完成签到 ,获得积分10
17秒前
Aicici给Aicici的求助进行了留言
17秒前
18秒前
yuliuism发布了新的文献求助20
19秒前
Julie完成签到 ,获得积分10
20秒前
宇文千万完成签到,获得积分10
20秒前
何pengda发布了新的文献求助10
23秒前
不许焦绿o给不许焦绿o的求助进行了留言
23秒前
量子星尘发布了新的文献求助10
24秒前
24秒前
泥泞完成签到 ,获得积分10
25秒前
wenwen完成签到,获得积分10
25秒前
浮游应助生若如采纳,获得10
26秒前
36发布了新的文献求助10
30秒前
02完成签到,获得积分10
30秒前
魔幻的阁关注了科研通微信公众号
31秒前
惠绝山发布了新的文献求助10
31秒前
Walker9564完成签到,获得积分10
31秒前
32秒前
吱哦周发布了新的文献求助10
32秒前
陈慧发布了新的文献求助10
32秒前
何pengda完成签到,获得积分20
34秒前
36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
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5465550
求助须知:如何正确求助?哪些是违规求助? 4569781
关于积分的说明 14321124
捐赠科研通 4496282
什么是DOI,文献DOI怎么找? 2463209
邀请新用户注册赠送积分活动 1452179
关于科研通互助平台的介绍 1427336