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组织形态计量的软件技术，目前主要通过繁琐而费力的交互过程手动完成。我们的计划是使用国家的最先进的图像处理技术，自动检测，测量和量化的生物效应直接从显微设备获得的染色图像。我们计划采用三步方法进行自动化定量：（i）改进我们的样品处理和成像步骤，并用传统的手动方法验证计算机得出的分析结果;（ii）使用具有不同遗传背景的较大的室内小鼠组，开发自动化组织形态学分析管道和数据库，以吸引人的格式存储原始数据和分析结果调查人员;以及（iii）与外部机构的四名研究人员一起测试这一策略，这些研究人员将样本提交给分析管道进行处理和分析。第三步将利用该公司现有的可视化框架，建立一个商业模式，不仅提供最终图像分析结果的交付，还提供整个分析过程本身，以确保科学家的分析出处。我们拟议的研发工作的潜在影响是巨大的。目前，内部组织形态测定的手动处理需要很长的工时，容易出错，并且运行成本太高。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。我们的开发可以创建一个集中的，具有成本效益的服务企业，科学家可以快速获取测量数据的成本，可以很容易地重新检查和验证的格式。此外，集中式服务可以存储大量已发布的“参考”图像和测量值，以便科学家可以更有效地将声型变化与参考进行比较。当这种集中的基于合同的图像处理建立并广泛使用时，组织形态学的成本可能会显着降低，而科学的质量则会显着提高。公共卫生关系：社会、教育和科学效益：我们提出的软件可能会彻底改变骨组织形态计量学。科学家将能够在更短的时间内进行图像分析，并提高量化质量。此外，使用感知服务模型，由于成本和速度的显着降低，科学家将能够以比目前可用的更大的规模利用组织形态测量。至于对科学的具体影响，一旦建立，我们提出的自动化方法可以作为一种高通量机制，用于评估所有转基因小鼠骨结构改变的证据，并观察骨结构的变化。