A New Detector for Measuring Polarized Light: Modeling, Characterization, and Testing for Significantly Improved Imaging Capabilities.
用于测量偏振光的新型探测器:建模、表征和测试以显着提高成像能力。
基本信息
- 批准号:1407885
- 负责人:
- 金额:$ 36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-07-15 至 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract Title: A New Detector for Measuring Polarized Light: Modeling, Characterization, andTesting for Significantly Improved Imaging Capabilities.Nontechnical Abstract: Current polarized light photodetectors suffer from low spatial and/or temporal resolution, or they experience systematic error. This is due to multiple detectors needed to fully characterize polarized light,which often require measurements at different times. This limits high-resolution polarized light imaging; a processthat is critical for applications ranging from astronomy to biomedical imaging to pharmaceuticals. The researchunder this grant will investigate the development of a polarized light detector (polarimeter) capable of overcomingexisting limitations, as well as adding new functionality not currently available. This will be achieved by takingadvantage of the unique optoelectronic properties of polymer semiconductors. Multiple semitransparent organic photodetectors will be processed at a single spatial location and the multicell stack will be optimized to developa polarimeter with advanced capabilities. This grant also provides an opportunity to develop outreach activities to interest high school students, both locally and nationally, in optical science and engineering.Technical Abstract: The objective of this proposal is to investigate the use of organic photovoltaic modules asinherently polarization sensitive detectors. Current methods of polarization imaging or detection rely on eithertime-sequential or instantaneous measurements taken after light transmits through polarization sensitive elements. These, often complex, optical systems are necessary because there are no current detector technologies capable of measuring the complete polarization state, at a single spatial location, within a single integration time. This results in several disadvantages associated with existing technologies; chief among them are temporal and/or spatial misregistration that causes errors in the sensed polarization elements. To alleviate these errors, thisproposal details a novel strain-aligned polymer-based photodetector that is inherently polarization sensitive.The objectives are to: (1) Create an optoelectronic model of multi-layer organic photovoltaics (OPVs); (2) Create a free-space polarimeter design, using multiple semi-transparent SOPD proof of concept devices; (3) Design and create an experimental proof of principle multi-layer monolithic polarimeter based on S-OPDs;(4) Leverage the model and concept to create calibration procedures; and (5) Explore multi-spectral andmulti-Stokes detectors, including their incorporation into arrays and unique geometrical structures.Polymer semiconductors commonly have a primary optical dipole transition that isparallel to the conjugated backbone. Thus, uniaxially aligning the polymer in one-direction results inanisotropic optical detection. The intellectual merit of this proposal is through the study of the deviceperformance opportunities enabled by aligned polymer based polarimeters with inherent polarizationsensitivity. Merit is found in: (1) The optimization of OPV structures, biasing, and circuitry for use inphotodetection processes; (2) Developing insight into how alignment and anisotropy influenceenergy conversion; (3) Establishing advanced optoelectronic modeling of complex multi-layeranisotropic organic photodetectors at various angles of incidence; and (4) Calibration procedures,algorithms, and techniques for using OPVs as polarization-sensitive photovoltaic detectors. Theproposed endeavor has the potential to create broad new areas of research in multi-dimensionalmonolithic optical sensing.The proposed research has significant commercial potential, benefiting the fieldsof telecommunications, remote sensing, and biomedical imaging. This project will also providesupport for two graduate student researchers in polarimetry and device fabrication. Dissemination ofresearch results will occur through publications and outreach efforts to the general public will also beconducted by both PIs. For instance, online tutorials to garner excitement for polarimetric imagingwill be produced that include fabrication tutorials and software development that would placepolarimetric imaging at the hands of amateur hobbyists and students. Additionally, the PIs willcontribute to a week-long high school summer camp held at NC State to attract students toengineering careers. In this camp, outreach modules related to polarized light in nature will becreated and disseminated.
摘要标题:一种新的检测器用于测量偏振光:建模,表征,andTesting为显着提高成像capability.Nontechnical摘要:当前偏振光光电探测器遭受低空间和/或时间分辨率,或者他们遇到的系统误差。这是由于需要多个检测器来完全表征偏振光,这通常需要在不同的时间进行测量。这限制了高分辨率偏振光成像;这一过程对于从天文学到生物医学成像到制药的应用至关重要。这项研究将调查偏振光探测器(偏振计)的发展,能够克服现有的限制,以及增加新的功能,目前还没有。这将通过利用聚合物半导体独特的光电性能来实现。将在单个空间位置处理多个透明有机光电探测器,并优化多电池堆以开发具有先进功能的偏振计。该补助金还提供了一个机会,以发展外展活动的兴趣高中学生,在当地和全国范围内,在光学科学和工程。技术摘要:本建议的目的是调查使用有机光伏模块asinherently偏振敏感探测器。当前的偏振成像或检测方法依赖于在光透射通过偏振敏感元件之后进行的时间顺序或瞬时测量。这些通常复杂的光学系统是必需的,因为目前没有能够在单个积分时间内在单个空间位置测量完整偏振状态的检测器技术。这导致与现有技术相关联的若干缺点;其中主要的是时间和/或空间配准不良,其导致感测到的偏振元件中的误差。为了减少这些误差,本论文提出了一种新型的应变取向聚合物基光电探测器,该光电探测器具有固有的偏振敏感性,其目标是:(1)建立多层有机光电器件(OPV)的光电模型:(2)利用多个半透明SOPD概念验证器件,建立自由空间偏振计设计;(3)设计和创建基于S-OPD的多层单片偏振计的原理的实验证明;(4)利用模型和概念来创建校准程序;(5)探索多光谱和多斯托克斯探测器,包括将其纳入阵列和独特的几何结构。聚合物半导体通常具有平行于共轭主链的初级光学偶极跃迁。因此,在一个方向上单轴排列聚合物导致各向异性光学检测。该建议的智力价值是通过对具有固有偏振灵敏度的基于聚合物的偏振计的设备性能机会的研究。优点在于:(1)优化OPV结构、偏置和用于光电探测过程的电路;(2)深入了解对准和各向异性如何影响能量转换;(3)建立各种入射角下复杂多层各向异性有机光电探测器的先进光电模型;(4)使用OPV作为偏振敏感光电探测器的校准程序、算法和技术。这项奋进将为多维单片光学传感领域开辟广阔的新的研究领域,并将在电信、遥感和生物医学成像等领域带来巨大的商业价值。这个项目也将为两名研究生提供偏振测量和器件制造方面的支持。研究成果的传播将通过出版物进行,两个主要研究者还将向公众开展外联工作。例如,在线教程,以获得兴奋的偏振成像将产生,其中包括制造教程和软件开发,将放置在业余爱好者和学生手中的偏振成像。此外,PI将有助于在北卡罗来纳州举行为期一周的高中夏令营,以吸引学生从事工程职业。在这个营地,将创建和传播与自然界偏振光有关的外展模块。
项目成果
期刊论文数量(0)
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Michael Kudenov其他文献
Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks
- DOI:
10.1186/s13007-024-01316-x - 发表时间:
2025-02-20 - 期刊:
- 影响因子:4.400
- 作者:
Joshua Larsen;Jeffrey Dunne;Robert Austin;Cassondra Newman;Michael Kudenov - 通讯作者:
Michael Kudenov
Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence
利用高光谱成像和可解释的人工智能推进甘薯质量评估
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:8.3
- 作者:
Toukir Ahmed;N. Wijewardane;Yuzhen Lu;Daniela S. Jones;Michael Kudenov;Cranos Williams;Arthur Villordon;Mohammed Kamruzzaman - 通讯作者:
Mohammed Kamruzzaman
Michael Kudenov的其他文献
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{{ truncateString('Michael Kudenov', 18)}}的其他基金
Polymer Semiconductor Focal Volume Arrays for Advanced Multidimensional Imaging
用于高级多维成像的聚合物半导体焦体积阵列
- 批准号:
1809753 - 财政年份:2018
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
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