THREE-DIMENSIONAL IMAGE PROCESSING AND ANALYSIS

该项目的目标是为研究人员提供先进的 充分利用数据的图形和数值方法 细胞和细胞核的光学切片。主要应用程序将 从事间期细胞染色体排列的研究。近期 核糖核酸荧光探针的研究进展 特定于染色体的重复序列和独特的 序列(复合探针)允许检测个体 间期核中的染色体。通过光学技术 切片和三维图像重建，现在可以 研究单个染色体在细胞内的空间分布 核及其可能参与易位和易位的起源 非整倍体。这将包括测量每条染色体的位置， 相对于原子核的中心和表面，以及它与其 核内的同源染色体和其他染色体。这一信息将是 关联来自多个单元格的数据，以建立自然可变性 在这样的数据中。这将使研究核组织的作用成为可能 论分化与转型。为了达到这些目标，我们 将：1)开发识别和显示复杂环境中的对象的方法 3维图像。将使用3D边缘查找来检测对象 技术，并使用排队和/或立体声显示器进行显示。2)发展 三维物体特征提取的定量方法。 感兴趣的特征包括形状、体积、表面积、综合 荧光强度，细胞或细胞核内的位置，以及 到细胞/细胞核内其他物体的距离。3)发展统计 确定内部对象组织的三维规律性 细胞和细胞核。4)开发一个数据库，将原始数据归档 3维图像、用于渲染和显示的参数以及 分析结果。

The objective of this project is to provide researchers with advanced graphical and numerical methods for fully utilizing data obtained from the optical sectioning of cells and cell-nuclei. The principal application will be in the study of chromosome arrangement in interphase cells. Recent advances in the development of fluorescent nuclei acid probes for chromosome-specific repetitive sequences and collections of unique sequences (composite probes) have permitted the detection of individual chromosomes in the interphase nucleus. Through the techniques of optical sectioning and 3-dimensional image reconstruction, it is now possible to study the spatial distribution of individual chromosomes within the cell nucleus and its possible involvement in the origin of translocations and aneuploidies. This will involve measuring the location of each chromosome, relative to the center and surface of the nucleus, and its proximity to its homolog and other chromosomes within the nucleus. This information will be correlated for data from many cells, to establish the natural variability in such data. This will permit a study of the role of nuclear organization on differentiation and transformation. To accomplish these objectives, we will: 1) Develop methods for identifying and displaying objects in complex 3-dimensional images. Objects will be detected using 3D edge finding techniques and displayed using queuing and/or stereo displays. 2) Develop quantitative methods for extracting features of 3-dimensional objects. Features of interest include shape, volume, surface area, integrated fluorescence intensity, location within the cell or cell nucleus, and distance to other objects within the cell/nucleus. 3) Develop statistical to determine the 3-dimensional regularity of organization of objects within cells and cell nuclei. 4) Develop a data base to archive the raw data from 3-dimensional images, parameters used for rendering and display, and results of analysis.