Philippsen Ansgar, Schenk Andreas D, Stahlberg Henning, Engel Andreas
Maurice Müller Institute for Structural Biology, Biozentrum, Klingelbergstr. 70, 4056 Basel, Switzerland.
J Struct Biol. 2003 Oct-Nov;144(1-2):4-12. doi: 10.1016/j.jsb.2003.09.032.
We present the foundation for establishing a modular, collaborative, integrated, open-source architecture for image processing of electron microscopy images, named iplt. It is designed around object oriented paradigms and implemented using the programming languages C++ and Python. In many aspects it deviates from classical image processing approaches. This paper intends to motivate developers within the community to participate in this on-going project. The iplt homepage can be found at http://www.iplt.org.
我们介绍了用于电子显微镜图像的图像处理的模块化、协作式、集成式、开源架构iplt的建立基础。它围绕面向对象范式设计,并使用C++和Python编程语言实现。在许多方面,它与传统的图像处理方法不同。本文旨在激励社区内的开发者参与这个正在进行的项目。iplt的主页可在http://www.iplt.org找到。