Institut National de la Santé et de la Recherche Médicale UMRs 952, Centre National de Recherche Scientifique UMR 7224, Université Pierre et Marie Curie, 7-9 quai Saint Bernard, 75252, Paris Cedex 05, France.
J Neurosci Methods. 2010 Dec 15;194(1):56-63. doi: 10.1016/j.jneumeth.2009.12.014. Epub 2009 Dec 28.
Computer based three-dimensional reconstruction and co-registration of experimental data provide powerful tools for integration of observation derived from various technical approaches leading to better understanding of brain functions. Here we describe a method to build a 3D multi-modal and multi-dimensional model of brain structures providing framework for data sharing. All image processing, registration and 3D reconstruction were performed using open source software IMOD package software and ImageJ. The reconstruction procedure is based on series of AChE and Nissl stained sections aligned to blockface pictures. Integration of experimental data into the reference model is achieved by co-registration of Nissl sections of experimental brain cases by positioning landmarks on corresponding anatomical structures. To overcome the challenge of comparing for experimental sections with those of the reference model, adjustment of experimental model to the brain model was done section by section and limited to the structures of interest. For this adjustment we stress the use of cytoarchitectural criteria for accurate registration of anatomical structures and co-registration procedures.
基于计算机的三维重建和实验数据配准为整合来自各种技术方法的观察结果提供了强大的工具，从而更好地理解大脑功能。在这里，我们描述了一种构建大脑结构的 3D 多模态和多维模型的方法，为数据共享提供了框架。所有图像处理、配准和 3D 重建都是使用开源软件 IMOD 软件包和 ImageJ 完成的。该重建过程基于一系列乙酰胆碱酯酶和尼氏染色切片，与块面图像对齐。通过在相应的解剖结构上定位地标，将实验脑标本的尼氏染色切片与参考模型进行配准，从而将实验数据整合到参考模型中。为了克服将实验切片与参考模型进行比较的挑战，我们通过将实验模型与感兴趣的结构分别进行调整，将实验模型调整到脑模型上。对于这种调整，我们强调使用细胞构筑学标准来准确注册解剖结构和配准过程。
