Developing Contractual Service Framework for Bone Histomorphometry

开发骨组织形态测量合同服务框架

• 批准号: 7671366
• 负责人: Seung-Hyun Sean Hong
• 金额: $ 16.97万
• 依托单位: CYBERCONNECT EZ, LLC
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7671366
• 关键词: Architecture; Arts; Biological; Bone Tissue; Businesses; Clinic; Collection; Communities; Computer software; Computers; Connecticut; Data; Data Analyses; Databases; Detection; Development; Devices; Disclosure; Disease; Ensure; Genetic; Goals; Gold; Hand functions; Health; Hour; House mice; Housing; Image; Image Analysis; Institution; Lead; Manuals; Measurement; Methods; Microscope; Microscopic; Modeling; Mus; Operative Surgical Procedures; Outcome; Pathology; Phase; Procedures; Process; Publishing; Quality Control; Research Personnel; Running; Sampling; Science; Scientist; Seminal; Services; Small Business Innovation Research Grant; Software Engineering; Speed; Staining method; Stains; Structure; Techniques; Technology; Testing; Time; Tissue Sample; Tissues; Universities; Visual; Work; base; bone; cost; cost effective; image processing; man; public health relevance; research and development; skeletal; software development

DESCRIPTION (provided by applicant): This project aims at developing software technology capable of automating bone histomorphometry, which at the moment is mostly done manually through cumbersome and laborious interactive processes. Our plan is to use state-of-the-art image processing techniques to automate detection, measurement and quantification of biological effects directly over the stained images acquired from microscopic devices. We plan to employ a three-step approach for the automated quantification: (i) refine our sample processing and imaging steps and validate the computer derived analytical results with the traditional manual approach; (ii) using a larger set of in house mice with different genetic backgrounds, develop automated histomorphometric analytical pipelines and a database to house the raw data and the analysis outcomes in a format that would be attractive to investigators; and (iii) beta test this strategy with four investigators at outside institutions who submit samples to the analytical pipeline for processing and analysis. The third step will utilize the company's existing visual dataflow framework and build a business model which offers not only the delivery of the final image analysis outcome, but also the entire analysis process itself to ensure analysis provenance to the scientists. The potential impact of our proposed R&D work is enormous. Currently the manual processing of in-house histomorphometry requires lengthy man hours, is prone to error and is becoming too costly to run. In addition, due to in-house oriented individualized operations, comparing the analysis outcome against community-wide gold standards has been very difficult. Our development can create a centralized, cost effective service enterprise with which scientists can rapidly acquire measurement data at cost in a format that can easily be re-examined and validated. Furthermore, the centralized service can store a large collection of published "reference" images and measurement values so that scientists can more efficiently compare phonotypical changes against the references. When this centralized contractual based image processing is established and widely-used, the cost of histomorphometry could become significantly lower, while the quality of science dramatically increases. PUBLIC HEALTH RELEVANCE: Perceived societal, educational, and scientific benefits: Our proposed software can potentially revolutionize bone histomorphometry. Scientists will be able to do image analysis in a much shorter time with an improvement in quantification quality. In addition, using the perceived service model scientists will be able to utilize histomorphometry at far greater scale than what is current available due to the significant reduction in cost and speed. As for the specific impact on the science, once established our proposed automated method could serve as a high throughput mechanism for evaluating all the genetically modified mice for evidence of altered bone structure and observing the change in bone architecture.

描述（由申请人提供）：该项目旨在开发能够自动化骨骼组态计量学的软件技术，目前，该技术主要是通过繁琐而费力的互动过程手动完成的。我们的计划是使用最先进的图像处理技术来自动化检测，测量和量化生物学效应，直接在从微观设备中获取的染色图像上自动化。我们计划采用三步方法进行自动量化：（i）完善我们的样本处理和成像步骤，并使用传统的手动方法来验证计算机衍生的分析结果； （ii）使用具有不同遗传背景的一组较大的室内小鼠，开发自动化的组织分析管道和数据库来容纳原始数据和以对研究人员有吸引力的格式的原始数据和分析结果； （iii）Beta对外部机构的四名研究人员进行测试，他们将样本提交给分析管道进行处理和分析。第三步将利用公司现有的Visual DataFlow框架，并建立一个业务模型，该模型不仅提供最终图像分析结果的交付，而且还提供整个分析过程本身，以确保分析出处给科学家。我们拟议的研发工作的潜在影响是巨大的。目前，内部组织形态计量学的手动处理需要冗长的人小时，容易出错，并且变得过于昂贵，无法运行。此外，由于面向内部的个性化操作，将分析结果与社区范围的黄金标准进行比较非常困难。我们的发展可以创建一个集中的，具有成本效益的服务企业，科学家可以以该企业的价格快速以可以轻松重新检查和验证的格式以成本来获取测量数据。此外，集中式服务可以存储大量已发表的“参考”图像和测量值，从而使科学家可以更有效地将语音型变化与参考进行比较。当建立基于合同的集中式图像处理并广泛使用时，组织形态计量学的成本可能会显着降低，而科学的质量大幅提高。公共卫生相关性：感知到的社会，教育和科学益处：我们提出的软件可能会彻底改变骨骼形态计量学。科学家将能够在短时间内进行图像分析，并提高量化质量。此外，使用感知的服务模型科学家将能够以远大于最低降低的成本和速度降低，以远大的规模使用组织形态计量学。至于对科学的特定影响，一旦建立了我们提出的自动化方法，可以用作评估所有转基因小鼠的高吞吐物机制，以证明骨骼结构改变并观察骨骼结构的变化。