Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany.
Forschungszentrum Jülich, Institute of Neuroscience and Medicine, Jülich, Germany.
Neuroinformatics. 2018 Jan;16(1):65-80. doi: 10.1007/s12021-017-9349-6.
The larval brain of the fruit fly Drosophila melanogaster is a small, tractable model system for neuroscience. Genes for fluorescent marker proteins can be expressed in defined, spatially restricted neuron populations. Here, we introduce the methods for 1) generating a standard template of the larval central nervous system (CNS), 2) spatial mapping of expression patterns from different larvae into a reference space defined by the standard template. We provide a manually annotated gold standard that serves for evaluation of the registration framework involved in template generation and mapping. A method for registration quality assessment enables the automatic detection of registration errors, and a semi-automatic registration method allows one to correct registrations, which is a prerequisite for a high-quality, curated database of expression patterns. All computational methods are available within the larvalign software package: https://github.com/larvalign/larvalign/releases/tag/v1.0.
果蝇幼虫的大脑是神经科学的一个小型、易于处理的模型系统。荧光标记蛋白的基因可以在特定的、空间受限的神经元群体中表达。在这里,我们介绍了以下方法:1)生成幼虫中枢神经系统(CNS)的标准模板,2)将来自不同幼虫的表达模式空间映射到由标准模板定义的参考空间中。我们提供了一个手动注释的金标准,用于评估模板生成和映射中涉及的配准框架。一种配准质量评估方法可以自动检测配准错误,一种半自动配准方法允许用户校正配准,这是高质量、经过整理的表达模式数据库的前提。所有的计算方法都可以在 larvalign 软件包中使用:https://github.com/larvalign/larvalign/releases/tag/v1.0.