SOFTWARE DEVELOPMENTS FOR PROCESSING CIRCULARLY SYMMETRIC 2D DIFFRACTION/SCATTER

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 我们的数据处理程序（以前称为MarParse）已经获得了一个新的名称SasTool，以反映其专门为小角度散射研究开发的先进功能，并扩展支持任何生成16或32位TIFF图像的2D检测器。SasTool通过几个数值数据处理步骤将2D原始图像转换为以I（Q）vs Q表示的通用ASCII数据格式，包括统计评估和背景减除。最近的改进包括：1）基于异常透射光束强度排除不良图像的能力，当样品等分试样在光束中振荡时意外包含气泡时，该强度会更高; 2）Linux版本SasTool的开发，消除了将Linux文件服务器上的数据文件映射到PC网络的相当慢的桑巴舞协议，其中PC版本的SasTool处理数据。在不久的将来，由于我们的数据收集和文件服务器计算机都运行Linux，因此Linux SasTool还将促进数据分析与数据采集过程的计划集成。 3)与通过比较多个图像并拒绝异常值的图像内重排序相反。在方位角积分时，图像内的消隐特征拒绝通常由余弦射线撞击产生的离群像素。SasTool通过帮助用户更及时地计划下一个实验条件，为高效的数据收集做出了贡献。该软件已在我们的互联网网站上提供，自2007年8月1日我们开始记录下载以来，来自11个国家49个机构的科学家共下载了208次（其中149次是自2009年1月1日以来）。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Our data processing program (previously called MarParse) has received a new name SasTool to reflect its advanced features specifically developed for small angle scattering studies and extended support of any 2D detector generating 16 or 32 bit TIFF images. SasTool converts the 2D raw images into a universal ASCII data format expressed in I(Q) vs Q through several steps of numerical data processing, including statistical evaluation and background subtraction. Recent enhancements include 1) the ability to exclude bad images on the basis of outlier transmitted beam intensities which would be higher when a sample aliquot accidentally contained air bubbles when it is being oscilated in the beam; 2) the development of a linux version SasTool, eliminating rather slow Samba protocal for maping data files on the linux file server to a PC network where the PC version of SasTool processes data. The linux SasTool will also facilitate planned integration of the data analysis into the data acquistion process in near future since both of our data collection and file server computers run linux. 3) in-image dezingering as opposed to dezingering by comparing multiple images and rejecting outliers. The in-image dezingering feature rejects outlier pixels, typically produced by cosimic ray hits, upon azimuthal integration. SasTool has contributed to highly effective data collection by facilitating the user to plan the next experimental conditions in a much more timely fashion. The software has been made available on our internet web site, and there have been 208 downloads (of which 149 were since January 1, 2009) by scientists from 49 institutions in 11 countries since August 1, 2007, when we began recording downloads.