Support and Development of EMAN for Electron Microscopy Image Processing

EMAN 对电子显微镜图像处理的支持和开发

• 批准号: 8268380
• 负责人: STEVEN J LUDTKE
• 金额: $ 30.52万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8268380
• 关键词: 3-Dimensional; Adopted; Algorithms; Area; Back; Biochemistry; Biological; Biology; Cell physiology; Cells; Communities; Computer software; Data; Data Collection; Deposition; Development; Discipline; Disease; Documentation; Electron Microscopy; Electrons; Environment; Funding; Goals; Health; Heart Diseases; Housing; Image; Individual; Knowledge; Learning; Libraries; Malignant Neoplasms; Metadata; Methodology; Methods; Microscope; Microscopy; Nerve Degeneration; Neurodegenerative Disorders; Optics; Pharmaceutical Preparations; Process; Productivity; Publishing; Pythons; Research Infrastructure; Research Personnel; Resolution; Software Tools; Specimen; Structure; System; Techniques; Testing; Time; Translations; Transmission Electron Microscopy; United States National Institutes of Health; Validation; Variant; Viral Cancer; Virus; Virus Diseases; Work; base; data exchange; file format; graphical user interface; image processing; improved; in vivo; interest; interoperability; nanoassembly; novel; particle; rapid growth; reconstruction; structural biology; tomography; tool; tool development

DESCRIPTION (provided by applicant): This application seeks support for continued development of EMAN, an extensive image processing suite for electron microscopists. Structural biology is the study of the 3-D structure of individual molecules and biological nanoassemblies for the purpose of understanding their function and relating that function to cellular processes. Such studies are used both to provide a physical context to biochemistry as well as to study specific interactions, such as drugs interacting with target molecules, how viruses interact with cells or how biomolecules physically function. EMAN's primary use is for a technique known as single particle analysis, which merges thousands to hundreds of thousands of 2-D images of individual molecules/ assemblies to produce a high resolution 3-D reconstruction. EMAN has an installed user-base of over 1500 users worldwide, and includes a complete OpenGL based 3-D Graphical User Interface (GUI) built on an extensive library of hundreds of image processing algorithms. This application seeks continued support for the development of EMAN and for expanding its capabilities to make it useful to a broader range of researchers. We will support a number of new TEM methodologies, such as helical processing, random conical tilt and single particle tomography. In addition, we will connect EMAN's advanced GUI to several other specialized TEM image processing software tools, permitting users to seamlessly move data back and forth between the various packages, and use EMAN's advanced GUI to analyze and merge results. At present the process of using multiple software packages is exceptionally difficult and time consuming due to differing standards between the packages. We will establish the necessary data and convention translations to make such processing straightforward. EMAN is also beginning to be used as a component in software projects in other disciplines. This application will permit us to give assistance to these developers working to expand EMAN's usefulness to new biological communities. Finally, we will provide continuing support to our existing users, by enhancing documentation and extending EMAN's cross-platform support. Combined, these activities will serve to greatly enhance the productivity of this community and provide useful tools to new groups of NIH funded users. These methods are used in diverse areas of biology, and have expanded our understanding of diseases and conditions as diverse as neurodegeneration, heart disease and cancer.

描述(由申请人提供)：本申请寻求对EMAN的继续开发的支持，EMAN是一种为电子显微镜专家提供的广泛的图像处理套件。结构生物学是研究单个分子和生物纳米组件的三维结构，目的是了解它们的功能，并将这种功能与细胞过程联系起来。这类研究既用于提供生物化学的物理背景，也用于研究特定的相互作用，如药物与目标分子的相互作用，病毒如何与细胞相互作用，或生物分子如何发挥物理作用。Eman的主要用途是一种被称为单粒子分析的技术，该技术将数千到数十万个单独分子/组件的二维图像合并在一起，以产生高分辨率的三维重建。EMAN在全球拥有超过1500名用户，并包括一个完整的基于OpenGL的3-D图形用户界面(GUI)，该界面建立在数百种图像处理算法的广泛库上。这一应用程序寻求继续支持EMAN的开发和扩展其能力，使其对更广泛的研究人员有用。我们将支持一些新的瞬变电磁方法，如螺旋处理、随机圆锥倾斜和单粒子层析成像。此外，我们将把EMAN的高级图形用户界面与其他几种专门的瞬变电磁图像处理软件工具连接起来，允许用户在不同的包之间无缝地来回移动数据，并使用EMAN的高级图形用户界面来分析和合并结果。目前，由于软件包之间的标准不同，使用多个软件包的过程异常困难和耗时。我们将建立必要的数据和公约翻译，使这类处理变得简单。EMAN也开始被用作其他学科的软件项目的组件。这个应用程序将允许我们为这些致力于将EMAN的有用性扩展到新的生物社区的开发人员提供帮助。最后，我们将通过增强文档和扩展EMAN的跨平台支持，为现有用户提供持续支持。综合起来，这些活动将极大地提高这个社区的生产力，并为NIH资助的新用户群体提供有用的工具。这些方法被用于生物学的不同领域，并扩大了我们对各种疾病和情况的理解，如神经变性、心脏病和癌症。