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Development of brain templates for whole brain atlases

机译:全脑图谱的脑模板开发

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摘要

In neuroscience, Brain template images and annotation atlases are key to analyzing whole brain microscopy images in acommon coordinate framework (CCF) and sharing of anatomical data among neuroscientists. Mapping individual animalspecimen brain to a common space allows neuroscientists compare and utilize data from experiments done on othermodalities or markers. With the advent of new clearing and novel light microscopy techniques, large number of samplesare imaged in these unique combinations of clearing and microscopy that the experimenter deems best to bring out thebest signal-to-noise ratio for their biological data. This paper describes our framework that each such experimenter tocreate a template brain registered with the Allen CCF for their unique combination. Further, we demonstrate the abilityof the framework to create a template brain for an enhanced delipidation protocol called UClear [Unpublished] andimaged using LaVision BioTech Ultramicroscope Ⅱ. The cleared brains were imaged in dibenzyl ether (DBE) under488-nm illumination conditions that allowed the visualization of major brain regions based on intrinsic tissueautofluorescence. As contrast in these images differs from brains imaged by serial two-photon tomography used togenerate the CCF space of the Allen Mouse Brain Atlas, we developed a new CCF brain template for processing andanalysis of the UClear brains. This brain template generation method can make the registration pipeline agnostic to thetissue clearing and imaging protocol.
机译:在神经科学中,脑模板图像和注释图集是分析\ n \ n通用坐标框架(CCF)中的全脑显微镜图像以及神经科学家之间共享解剖数据的关键。将单个动物的标本大脑映射到一个公共空间,可以使神经科学家比较和利用其他模态或标记物上进行的实验数据。随着新的清除技术和新颖的光学显微镜技术的出现,实验人员认为最好在清除和显微镜的这些独特组合中对大量样品成像,从而为他们带来最佳信噪比。生物学数据。本文介绍了我们的框架,每个这样的实验者都可以\ r \ n创建一个向Allen CCF注册的模板大脑,以实现其独特的组合。此外,我们证明了该框架能够为名为UClear [Unpublished](未公开)和使用LaVision BioTech UltramicroscopeⅡ成像的增强去脂协议创建模板大脑的能力。清除后的大脑在\ n \ n488 nm的光照条件下在二苄基醚(DBE)中成像,从而可以基于固有组织\ n \ n自发荧光来显示主要大脑区域。由于这些图像的对比度与用于\ r \ n生成艾伦小鼠脑图谱的CCF空间的串行双光子断层扫描成像的大脑不同,因此,我们开发了一种新的CCF脑模板,用于处理和分析UClear脑。这种大脑模板生成方法可以使注册管道与组织清除和成像协议无关。

著录项

  • 来源
    《Neural Imaging and Sensing 2019》|2019年|1086511.1-1086511.5|共5页
  • 会议地点 1605-7422;2410-9045
  • 作者单位

    Certerra Inc., Farmingdale, NY USA Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA;

    Columbia University, New York, NY, USA;

    Appasamy Ocular Devices, Puducherry, India;

    Rockefeller University, New York, NY, USA;

    Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA pavel.osten@cshl.edu phone: +1 (222) 555-1234 fax: +1 (222) 555-876;

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  • 正文语种 eng
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