SBIR Phase II: Low cost shortwave infrared (SWIR) spectral imaging microscope camera based on Compressive Sensing
SBIR 第二阶段:基于压缩传感的低成本短波红外 (SWIR) 光谱成像显微镜相机
基本信息
- 批准号:1430872
- 负责人:
- 金额:$ 65.12万
- 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:2014-10-01 至 2017-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this project is to open price-sensitive research, medical imaging and surveillance communities to the benefits of the shortwave infrared (SWIR) waveband without the complexity or expense of traditional hyperspectral systems. The multispectral SWIR imager developed in this project supports medical microscope and small animal imaging of infrared fluorescence for cancer detection, localization and excision. SWIR fluorophores produce no autofluorescence background while simultaneously enhancing tissue penetration depth and efficiency by factors of 10 or more. InView?s imaging platform can build large markets by the development of specialized image processing and analytical methods for specific applications in pharmaceutical manufacturing, food safety, solar panel and semiconductor inspection, machine vision, and navigation. InView?s camera platform embodies the revolutionary new sampling theory of compressive sensing, a field whose applications in information processing have grown exponentially. The innovative architecture and the state-of-the-art software already embedded in the camera and user interface can enhance and possibly transform lab and clinical modalities in dynamic multi-fluorescence imaging, in vivo functional imaging, tissue viability and pathology studies, and advanced imaging modalities such as optical coherence tomography.This Small Business Innovation Research (SBIR) Phase 2 project will result in an operational low-cost, multi-color shortwave infrared (SWIR) camera that can be directly mounted on microscopes for supporting compelling micro-imaging applications in scientific, industrial and biomedical imaging. The electro-optical, opto-mechanical, and processing software architecture of the camera is based on Compressive Sensing, a new sampling technique that reduces data collection requirements for high resolution imaging to well below Nyquist limits. This design does not use expensive sensor arrays or complicated spectrometers. Instead, high-resolution pictures are computationally constructed from single-detector measurements. The ?single-pixel camera? architecture was commercialized by InView as a monochromatic SWIR imager. In Phase 1, InView successfully demonstrated that only simple modifications to its monochromatic camera design can produce full color imaging. The objective of Phase 2 is to modify only the components that are necessary to transform the existing monochromatic camera into a multi-color imager with the overall design goal of maintaining the existing camera size, weight and cost so that InView can offer low-cost multispectral SWIR imaging to the price sensitive microscopy community.
该项目更广泛的影响/商业潜力是开放价格敏感的研究,医学成像和监视社区的短波红外(SWIR)波段的好处,而没有传统的高光谱系统的复杂性或费用。本项目开发的多光谱短波红外成像仪支持医学显微镜和小动物红外荧光成像,用于癌症检测、定位和切除。 SWIR荧光团不产生自发荧光背景,同时将组织穿透深度和效率提高10倍或更多。InView?公司的成像平台可以通过为制药、食品安全、太阳能电池板和半导体检测、机器视觉和导航等领域的特定应用开发专门的图像处理和分析方法来建立庞大的市场。 InView?的相机平台体现了革命性的新采样理论的压缩传感,一个领域,其应用程序在信息处理中呈指数增长。 创新的架构和最先进的软件已经嵌入到相机和用户界面中,可以增强并可能改变动态多荧光成像、体内功能成像、组织活力和病理学研究以及光学相干断层扫描等先进成像模式的实验室和临床模式。这个小型企业创新研究(SBIR)第2阶段项目将带来低运营成本,多色短波红外(SWIR)相机,可直接安装在显微镜上,支持科学、工业和生物医学成像领域引人注目的显微成像应用。 相机的光电、光机和处理软件架构基于压缩传感,这是一种新的采样技术,可将高分辨率成像的数据收集要求降低到远低于奈奎斯特极限。这种设计不使用昂贵的传感器阵列或复杂的光谱仪。 相反,高分辨率图片是从单探测器测量计算构建的。什么?单像素摄像头该架构由InView商业化为单色SWIR成像仪。 在第一阶段,InView成功地证明了只需对其单色相机设计进行简单修改即可产生全色成像。第二阶段的目标是仅修改将现有单色相机转换为多色成像仪所需的组件,总体设计目标是保持现有相机的尺寸,重量和成本,以便InView可以为价格敏感的显微镜社区提供低成本的多光谱SWIR成像。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Lenore McMackin其他文献
Lenore McMackin的其他文献
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{{ truncateString('Lenore McMackin', 18)}}的其他基金
SBIR Phase I: Low cost shortwave infrared (SWIR) spectral imaging microscope camera based on Compressive Sensing
SBIR 第一阶段:基于压缩传感的低成本短波红外 (SWIR) 光谱成像显微镜相机
- 批准号:
1315515 - 财政年份:2013
- 资助金额:
$ 65.12万 - 项目类别:
Standard Grant
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