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使用 iDISCO+组织透明化、光片显微镜和 BrainPipe 进行自动化高通量小鼠跨突触病毒示踪。

Automated high-throughput mouse transsynaptic viral tracing using iDISCO+ tissue clearing, light-sheet microscopy, and BrainPipe.

机构信息

Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08544, USA.

Department of Neuroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.

出版信息

STAR Protoc. 2022 Apr 14;3(2):101289. doi: 10.1016/j.xpro.2022.101289. eCollection 2022 Jun 17.

Abstract

Transsynaptic viral tracing requires tissue sectioning, manual cell counting, and anatomical assignment, all of which are time intensive. We describe a protocol for BrainPipe, a scalable software for automated anatomical alignment and object counting in light-sheet microscopy volumes. BrainPipe can be generalized to new counting tasks by using a new atlas and training a neural network for object detection. Combining viral tracing, iDISCO+ tissue clearing, and BrainPipe facilitates mapping of cerebellar connectivity to the rest of the murine brain. For complete details on the use and execution of this protocol, please refer to Pisano et al. (2021).

摘要

转导性病毒追踪需要组织切片、手动细胞计数和解剖分配,所有这些都非常耗时。我们描述了一种用于光片显微镜体积的自动解剖配准和对象计数的可扩展软件 BrainPipe 的协议。通过使用新的图谱和训练用于对象检测的神经网络,BrainPipe 可以推广到新的计数任务中。将病毒追踪、iDISCO+组织清除和 BrainPipe 相结合,有助于将小脑连接映射到小鼠大脑的其余部分。有关此协议的使用和执行的完整详细信息,请参阅 Pisano 等人(2021 年)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/673b/9038781/49f951b15815/fx1.jpg

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