Strain Analysis Software for Open Science

项目总结 母体赠款侧重于组织之间的界面，要么传递载荷(需要韧性)，要么提供 表面光滑(需要低摩擦)。纤维界面在传递载荷方面是非常有效的 组织，例如，在结缔组织-骨界面处、腹膜-肠系膜界面、界面 在血管系统层和软脑膜层之间。这些界面需要韧性才能抵抗高强度 与材料不匹配相关的应力。手术修复可能导致光滑的界面变得纤维化， (例如，在疝气手术后)或坚硬的界面变得薄弱(例如，在肌腱和韧带-到- 骨修复)。例如，在接受大型肩袖修复的老年患者中，所需的附着体不是 经过改造后，高达94%的手术修复失败。之所以出现这些挑战，部分原因是赋予 具有韧性的纤维界面尚不清楚。那里的家长为AIMS开发了一个全面的 一种模拟和实验方法研究从强韧到软弱的转变因素 纤维界面。 该副刊建议将我们在这项工作中开发的软件制作成 云就绪且可广泛使用。该软件可以对显微镜中的变形进行定量分析 和医学成像。尽管用于此的商业软件很普遍，但这些包使用 正则化技术保证了解决方案的流畅性，因此往往无法准确识别 局部组织变形或预测软组织撕裂。我们将能够对应变之间的关系进行研究 通过执行两个目标，实现田野、受伤和康复。(一)开发开源、易用的软件 作为ImageJ的一个插件，用于二维(2D)、立体视图(2.5D)和三维应变跟踪算法 尺寸(3D)。最佳实践将用于开放源码软件开发，模块将 创建该网站是为了促进用户社区的发展。(2)我们将开发工作的、静态的代码 在GitHub上实施，可以使用云中的数据在Amazon AWS上运行。这将有助于克服 在肌肉骨骼研究中广泛采用应变图谱技术的第二个障碍是 必须获取的3D数据集需要大量的计算资源来分析。这项工作 将使家长赠款的PI和一名开源软件专家之间能够进行合作 为临床和研究翻译开发，并增强一个具有强大潜力的工具的影响。

PROJECT SUMMARY The parent grant focuses on interfaces between tissues either transfer load (requiring toughness) or provide a smooth surface (requiring low friction). Fibrous interfaces are very effective at transferring load between tissues, e.g., at connective tissue-bone interfaces (“entheses”), peritoneal-mesentery interfaces, interfaces between layers of the vasculature, and the pia mater. These interfaces require toughness to resist high stresses associated with material mismatches. Surgical repair can lead to smooth interfaces becoming fibrous, (e.g., following hernia surgery) or to tough interfaces becoming weak (e.g., following tendon- and ligament-to- bone repair). In older patients with large rotator cuff repairs, for example, where the desired attachment is not reformed, up to 94% of surgical repairs fail. These challenges arise in part because the features that endow fibrous interfaces with toughness are not known. The parent grant there for aims to develop a comprehensive modeling and experimental approach for studying the factors underlying the transition from tough to weak in a fibrous interface. The supplement proposes to take software that we have developed in the course of this work and make it cloud-ready and broadly available. This software enables quantitative analysis of deformation in microscopy and medical imaging. Although commercial software for this is widespread, these packages employ regularization techniques to ensure a smooth solution, and are therefore often unable to accurately identify local tissue deformations or predict soft tissue tears. We will enable research into the relation between strain fields, injury, and rehabilitation by executing two aims. (1) We will develop open-source, user-friendly software as a plugin to ImageJ for the strain-tracking algorithm in two dimensions (2D), stereo view (2.5D), and three dimensions (3D). Best practices will be used for open source software development, and modules will be created to facilitate the development of a user community. (2) We will develop a working, static code implementation on GitHub that can be run on Amazon AWS using data in the cloud. This will help overcome the second obstacle to widespread adoption of strain mapping techniques in musculoskeletal research, namely that the 3D datasets that must be acquired require substantial computational resources to analyze. The work will enable collaboration between the PIs of the parent grant and an expert on open source software development for clinical and research translation, and enhance the impact of a tool with strong potential.