Multiresolution Autofocusing for Automated Microscopy
Multiresolution Autofocusing for Automated Microscopy
批准号:
6951446
负责人:
QIANG WU
金额:
$31.84万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-05-15 至 2007-08-31
关键词:
中文摘要
描述(申请人提供):该项目将进一步开发和完善一种用于自动显微镜的创新数字自动对焦技术。自动对焦是自动显微镜成像的关键。现有技术依赖于单一图像分辨率下的各种焦点计算算法,并且存在固有的性能限制,这影响了它们在临床和研究应用中的成功和应用。例如,荧光显微镜的自动调焦对现有方法所需的准确性、可靠性和速度提出了严重挑战,因为在这种情况下,图像的信噪比非常低,景深很窄,同时必须将样品暴露在荧光激发下的程度降至最低,以避免光漂白和形成不受欢迎的物质,如自由基和单线态氧。基于最近发展起来的小波变换数学理论,提出了一种新的用于显微镜自动调焦的多分辨率图像分析方法。这种新方法克服了当前现有技术的许多固有限制,并有望使显微镜焦点功能的测量和最佳焦点成像位置的检测更加准确、可靠和快速。这项创新技术将显著提高自动化显微镜仪器的能力和效率,适用于需要对大量样本进行常规成像和定量分析的广泛的临床和研究应用。在第一阶段项目中,我们研究了所提议的荧光显微镜技术的可行性。我们开发了软件来实现多分辨率聚焦函数测量和聚焦成像位置搜索的算法。我们在不同的细胞遗传学FISH样本图像堆栈上对新方法进行了软件模拟,并以(1)精度、(2)范围、(3)稳健性和(4)速度为标准,将其与当前最好的显微镜自动调焦方法进行了比较。第一阶段的结果表明,通过使用适当的基于小波的自动对焦函数,新的多分辨率方法在上述每个性能类别中都显著优于所有竞争方法,并明显超过第一阶段的可行性标准。在二期工程中,我们将在实时运行环境中进一步开发、提炼、集成和验证新技术。我们计划建立一个具有多分辨率自动聚焦能力的原型系统,同时用于荧光和明视场显微镜成像。我们将广泛评估该系统的各种应用,包括遗传学、病理学和细胞学。我们将在常规临床实验室环境中对新系统和技术进行测试,并在收集最终用户的意见和反馈时对技术进行优化。一旦完全开发和合格,这项新技术将获得专利,并纳入未来的IRIS自动成像细胞仪。它还将通过许可协议和合作伙伴关系向应用成像公司和其他自动显微镜仪器制造商提供商业用途。
英文摘要
DESCRIPTION (provided by applicant): This project will further develop and refine an innovative digital auto-focus technology for automated microscopy. Auto-focusing is essential to automated microscope imaging. Currently available techniques rely on various algorithms of focus computation at a single image resolution and suffer from inherent performance limitations, which affect their success and utilization in clinical and research applications. Auto-focusing for fluorescence microscopy, for example, represents a serious challenge to existing methods for desired accuracy, reliability and speed since in this case the images have very low signal-to-noise ratio and narrow depth-of-fields while specimen exposure to fluorescent excitation must be minimized to avoid photo-bleaching and formation of undesirable substances such as free radicals and singlet oxygen. We propose a novel multi-resolution image analysis approach to microscope auto-focusing, based on the recently developed mathematical theory of wavelet transform. The new approach overcomes a number of inherent limitations of currently available techniques, and holds the promise to make the measurement of the microscope focus function and the detection of best-focus imaging position considerably more accurate, reliable, and fast. This innovative technology will significantly increase the ability and efficacy of automated microscope instruments for a wide range of clinical and research applications where a large number of specimens need to be imaged and quantitatively analyzed on a routine basis. During the Phase 1 project we investigated the feasibility of the proposed technology for fluorescence microscopy. We developed software to implement the algorithms for multi-resolution focus function measurements and for in-focus imaging position search. We evaluated the new approach in software simulation on a variety of sample image stacks of cytogenetic FISH specimens, and compared it with all current best-performing methods for microscope auto-focusing using the criteria of (1) accuracy, (2) range, (3) robustness, and (4) speed. The Phase 1 results suggest that, by using a proper wavelet-based auto-focus function, the new multi-resolution method significantly outperforms all competing methods in each of the aforementioned performance categories, and clearly exceeds the Phase 1 feasibility criteria. In the Phase 2 project, we will further develop, refine, integrate, and validate the new technology in real-time operation environment. We plan to build a prototype system with multi-resolution auto-focusing capabilities for both fluorescence and bright-field microscope imaging. We will evaluate the system extensively for a variety of applications including genetics, pathology, and cytology. We will beta test the new system and technology in routine clinical laboratory environment and optimize the technology as end user input and feedbacks are gathered. Once fully developed and qualified, this new technology will be patented and incorporated into future IRIS automated imaging cytometry instruments. It will also be made commercially available to Applied Imaging Corporation and other manufacturers of automated microscope instruments through licensing agreements and partnerships.
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