Chao Jerry, Ward E Sally, Ober Raimund J
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.
IEEE Trans Inf Technol Biomed. 2010 Jul;14(4):1075-87. doi: 10.1109/TITB.2010.2049024. Epub 2010 Apr 26.
Technological advances in both hardware and software have made possible the realization of sophisticated biological imaging experiments using the optical microscope. As a result, modern microscopy experiments are capable of producing complex image datasets. For a given data analysis task, the images in a set are arranged, based on the requirements of the task, by attributes such as the time and focus levels at which they were acquired. Importantly, different tasks performed over the course of an analysis are often facilitated by the use of different arrangements of the images. We present a software framework that supports the use of different logical image arrangements to analyze a physical set of images. This framework, called the Microscopy Image Analysis Tool (MIATool), realizes the logical arrangements using arrays of pointers to the images, thereby removing the need to replicate and manipulate the actual images in their storage medium. In order that they may be tailored to the specific requirements of disparate analysis tasks, these logical arrangements may differ in size and dimensionality, with no restrictions placed on the number of dimensions and the meaning of each dimension. MIATool additionally supports processing flexibility, extensible image processing capabilities, and data storage management.
硬件和软件方面的技术进步使得利用光学显微镜开展复杂的生物成像实验成为可能。因此，现代显微镜实验能够生成复杂的图像数据集。对于给定的数据分析任务，根据任务要求，一组图像会按照获取时的时间和聚焦水平等属性进行排列。重要的是，在分析过程中执行的不同任务通常借助对图像的不同排列方式来推进。我们提出了一个软件框架，该框架支持使用不同的逻辑图像排列来分析一组物理图像。这个名为显微镜图像分析工具（MIATool）的框架通过指向图像的指针数组来实现逻辑排列，从而无需在存储介质中复制和操作实际图像。为了能够根据不同分析任务的特定要求进行定制，这些逻辑排列在大小和维度上可能会有所不同，对维度数量和每个维度的含义没有限制。MIATool还支持处理灵活性、可扩展的图像处理能力以及数据存储管理。
