Integrated Bi-FOV Endoscope for Detection of Precancer

用于检测癌前病变的集成双视场内窥镜

基本信息

批准号：
8119400
负责人：
TOMASZ S TKACZYK
金额：
$ 28.87万
依托单位：
RICE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-09-28 至 2013-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8119400
关键词：
Architecture Area Arizona Biochemistry Biological Markers Biological Models Biomedical Engineering Caliber Cancerous Cell Culture Techniques Cells Cellular Morphology Clinical Clinical Engineering Clinical Trials Collaborations Commit Complex Computers Contrast Media Coupled Coupling Custom Detection Development Device Designs Devices Digital Signal Processing Discipline Elements Encapsulated Endoscopes Engineering Ensure Environment Epithelial Evaluation Future Gel Goals Grant Hybrids Image Imaging technology Institution Label Lateral Lesion Life Light Lighting Liquid substance Malignant Neoplasms Materials Testing Mechanics Memory Microscope Microscopic Microscopy Modality Molecular Molecular Profiling Molecular Target Monitor Morphology Mucous Membrane Names Neoplasms Optics Oral cavity Participant Positioning Attribute Pre-Clinical Model Premalignant Prevention Principal Investigator Procedures Process Refractive Indices Research Research Design Research Personnel Research Project Grants Resolution Roentgen Rays Role Sampling Science Screening for cancer Series Signal Transduction Specimen Staging Structure Surface System Systems Development Systems Integration Technology Testing Texas Time Tissues United States National Institutes of Health Universities University of Texas M D Anderson Cancer Center Update Work austin base cancer therapy cellular imaging college computerized data processing cost effective design detector forest improved in vivo instrument instrumentation interdisciplinary collaboration lens lithography millimeter miniaturize molecular imaging neoplastic cell new technology novel photonics preclinical study programs prototype research study sensor success tissue culture tool tumor

项目摘要

DESCRIPTION (provided by applicant): The major goal of this proposal is to build a dual FOV endoscope for pre-cancer and early cancer detection combining two: (1) high and (2) low resolution imaging systems. For the purpose of this proposal we call this instrument the "Bi-FOV Endoscope". At low magnification, the endoscope will image an area of several square centimeters, in order to identify suspicious lesions. These areas will then be imaged at higher resolution, to visualize the subcellular morphologic and molecular features which definitively identify precancerous lesions. In short, we would overcome the limitation of a small FOV for high resolution optical systems by coupling it together with a large FOV endoscope. The high resolution component of our imaging system is a Multi-Modal Miniaturized Microscope "4M Device". The function of the 4M Device is to utilize the interaction of light with tissues in many modalities to image morphology and biochemistry in vivo, yielding tools that provide better delineation of tumors. In this grant, we will use one of these modalities - reflectance imaging with structured illumination. The prototype of the integrated miniaturized microscope was designed and assembled in our previous research, where we showed the potential of this system for pre-cancerous tissue detection. In this proposal, we will extend the FOV of this 4M device, integrate CMOS detection and digital signal processing capabilities to achieve sub-cellular resolution images of tissue in real time. The 4M Device system will be refined and then coupled with a low resolution / large FOV endoscope used for preliminary selection of a sample region. We will design and assemble a miniaturized optical system with FOV of 15 mm and 60 microns lateral resolution. The same platform (Miniaturized Optical Table - MOT) technology (LIGA - deep X-ray lithography) and detector (CMOS array) as used for the 4M Device will be applied to a new, low resolution endoscope. Using the same base MOT approach will make entire system more compact, simple in assembly and cost effective. In parallel with the Bi - FOV Endoscope development, we will testing each system component, as well as the coupled low and high resolution endoscopes in a series of progressively more complex biological model systems, culminating with experiments in excised tumor specimens.

描述（由申请人提供）：该提案的主要目标是为前癌症和早期癌症检测建立双FOV内窥镜，结合了两个：（1）高和（2）低分辨率成像系统。出于本提案的目的，我们将该工具称为“双杆内窥镜”。在低放大倍率下，内窥镜将对几个平方厘米的区域进行成像，以识别可疑病变。然后，这些区域将以更高的分辨率成像，以可视化细胞的形态和分子特征，这些特征明确地识别癌前病变。简而言之，我们将通过将其与大型FOV内窥镜结合在一起来克服高分辨率光学系统的限制。我们成像系统的高分辨率组件是多模式微型化显微镜“ 4M设备”。 4M设备的功能是利用光与组织以多种方式的相互作用在体内图像形态和生物化学图像，从而产生可以更好地描述肿瘤的工具。在这笔赠款中，我们将使用这些方式之一 - 带有结构化照明的反射成像。在我们先前的研究中设计和组装了集成微型化显微镜的原型，在那里我们展示了该系统在癌前组织检测中的潜力。在此提案中，我们将扩展该4M设备的FOV，集成CMOS检测和数字信号处理能力，以实现组织的亚细胞分辨率图像。 4M设备系统将进行完善，然后与用于初步选择样品区域的低分辨率 /大型FOV内窥镜结合。我们将设计并组装一个小型光学系统，其FOV为15 mm和60微米的横向分辨率。 4M设备使用的相同平台（小型光学表 - MOT）技术（LIGA-深X射线光刻）和检测器（CMOS阵列）将应用于新的，低分辨率的内窥镜。使用相同的基本方法将使整个系统更紧凑，组装简单和成本效益。与BI -FOV内窥镜的开发并联，我们将测试每个系统组件，以及一系列逐渐更复杂的生物模型系统中的低和高分辨率内窥镜，并在切除的肿瘤标本中实验。

项目成果

期刊论文数量（19）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Compound prism design principles, III: linear-in-wavenumber and optical coherence tomography prisms.

DOI：
10.1364/ao.50.005023
发表时间：
2011-09-01
期刊：
Applied optics
影响因子：
1.9
作者：
Hagen N;Tkaczyk TS
通讯作者：
Tkaczyk TS

Quantitative sectioning and noise analysis for structured illumination microscopy.

DOI：
10.1364/oe.20.000403
发表时间：
2012-01-02
期刊：
Optics express
影响因子：
3.8
作者：
Hagen N;Gao L;Tkaczyk TS
通讯作者：
Tkaczyk TS

Real-time video mosaicing with a high-resolution microendoscope.

DOI：
10.1364/boe.3.002428
发表时间：
2012-10-01
期刊：
Biomedical optics express
影响因子：
3.4
作者：
Bedard N;Quang T;Schmeler K;Richards-Kortum R;Tkaczyk TS
通讯作者：
Tkaczyk TS

Multimodal snapshot spectral imaging for oral cancer diagnostics: a pilot study.

DOI：
10.1364/boe.4.000938
发表时间：
2013-06-01
期刊：
Biomedical optics express
影响因子：
3.4
作者：
Bedard N;Schwarz RA;Hu A;Bhattar V;Howe J;Williams MD;Gillenwater AM;Richards-Kortum R;Tkaczyk TS
通讯作者：
Tkaczyk TS

Development of image mappers for hyperspectral biomedical imaging applications.