Arganda-Carreras Ignacio, Manoliu Tudor, Mazuras Nicolas, Schulze Florian, Iglesias Juan E, Bühler Katja, Jenett Arnim, Rouyer François, Andrey Philippe
Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, Versailles, France.
Ikerbasque, Basque Foundation for Science, Bilbao, Spain.
Front Neuroinform. 2018 Mar 23;12:13. doi: 10.3389/fninf.2018.00013. eCollection 2018.
Imaging the expression patterns of reporter constructs is a powerful tool to dissect the neuronal circuits of perception and behavior in the adult brain of , one of the major models for studying brain functions. To date, several brain templates and digital atlases have been built to automatically analyze and compare collections of expression pattern images. However, there has been no systematic comparison of performances between alternative atlasing strategies and registration algorithms. Here, we objectively evaluated the performance of different strategies for building adult brain templates and atlases. In addition, we used state-of-the-art registration algorithms to generate a new group-wise inter-sex atlas. Our results highlight the benefit of statistical atlases over individual ones and show that the newly proposed inter-sex atlas outperformed existing solutions for automated registration and annotation of expression patterns. Over 3,000 images from the Janelia Farm FlyLight collection were registered using the proposed strategy. These registered expression patterns can be searched and compared with a new version of the BrainBaseWeb system and BrainGazer software. We illustrate the validity of our methodology and brain atlas with registration-based predictions of expression patterns in a subset of clock neurons. The described registration framework should benefit to brain studies in and other insect species.
对报告基因构建体的表达模式进行成像,是剖析成年果蝇大脑中感知和行为神经回路的有力工具,果蝇是研究脑功能的主要模型之一。迄今为止,已经构建了几个果蝇脑模板和数字图谱,用于自动分析和比较表达模式图像集。然而,对于不同图谱构建策略和配准算法之间的性能,尚未有系统的比较。在此,我们客观地评估了构建成年果蝇脑模板和图谱的不同策略的性能。此外,我们使用了最先进的配准算法来生成一个新的群体间性别图谱。我们的结果突出了统计图谱相对于个体图谱的优势,并表明新提出的性别图谱在表达模式的自动配准和注释方面优于现有解决方案。使用所提出的策略对来自Janelia Farm FlyLight数据集的3000多张图像进行了配准。这些配准后的表达模式可以通过新版的BrainBaseWeb系统和BrainGazer软件进行搜索和比较。我们通过对一部分生物钟神经元中表达模式的基于配准的预测,说明了我们的方法和脑图谱的有效性。所描述的配准框架应有助于果蝇及其他昆虫物种的脑研究。