Reichenbach Stephen E, Henderson Alex, Lindquist Robert, Tao Qingping
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588-0115, USA.
Rapid Commun Mass Spectrom. 2009 May;23(9):1229-33. doi: 10.1002/rcm.3962.
Interactive visualization of data from a new generation of chemical imaging systems requires coding that is efficient and accessible. New technologies for secondary ion mass spectrometry (SIMS) generate large three-dimensional, hyperspectral datasets with high spatial and spectral resolution. Interactive visualization is important for chemical analysis, but the raw dataset size exceeds the memory capacities of typical current computer systems and is a significant obstacle. This paper reports the development of a lossless coding method that is memory efficient, enabling large SIMS datasets to be held in fast memory, and supports quick access for interactive visualization. The approach provides pixel indexing, as required for chemical imaging applications, and is based on the statistical characteristics of the data. The method uses differential time-of-flight to effect mass-spectral run-length-encoding and uses a scheme for variable-length, byte-unit representations for both mass-spectral time-of-flight and intensity values. Experiments demonstrate high compression rates and fast access.
对新一代化学成像系统的数据进行交互式可视化需要高效且易于访问的编码。二次离子质谱（SIMS）的新技术可生成具有高空间和光谱分辨率的大型三维高光谱数据集。交互式可视化对于化学分析很重要，但原始数据集的大小超过了典型当前计算机系统的内存容量，这是一个重大障碍。本文报告了一种无损编码方法的开发，该方法内存效率高，能够将大型SIMS数据集保存在快速内存中，并支持快速访问以进行交互式可视化。该方法根据化学成像应用的要求提供像素索引，并且基于数据的统计特征。该方法使用差分飞行时间来实现质谱游程编码，并使用一种方案对质谱飞行时间和强度值进行可变长度的字节单元表示。实验证明了高压缩率和快速访问。
