Precision Histology

PI：Martin Deschênes、Yoav Freund、大卫Golomb、大卫克莱菲尔德（负责）、王凡 ! 核心2。摘要 Precision Histology 此核心提供高吞吐量的磁带转移切片切割接近完美的堆栈切片的整体 大脑，从嗅球到脊髓水平C2。带转移组织学系统已连续 在米特拉实验室运行了几年，并将使解剖数据的登记，从 研究项目1，2和3，到一个共同的框架建立的可训练的纹理为基础的数字 阿特拉斯 口面动作的控制是由脑干前运动神经元的不同群体协调的， 排列成相对较小的簇，并限于范围小至200至300 µm的域。对于许多 口面运动动作，运动前神经元簇存在于脑干的多个水平，并且不 符合现有地图集（包括Paxinos地图集和艾伦地图集）先前定义的边界 脑共同坐标框架图谱。 作为我们共同努力的一部分，以确定脑干运动控制的功能组织，我们需要 脑组织的标准化处理Mitra实验室建立的组织学管道提供了关键的 与替代方法相比的优点在于，组织在切片期间保持近乎完美的对齐， 可用于标准组织学染色， 大脑至关重要的是，这种方法排除了经典切片方法的扭曲，并实现了高效的切片。 3D重建，跨脑配准，以及将新大脑的数据有效地整合到我们的大脑中。 最近开发了可训练的基于纹理的数字地图集。通过有效地多路复用标记的神经元， 跨突触追踪、体内记录和转基因小鼠/细胞类型标记物染色、精密组织学 核心用于支持将数据汇编到一个共同的解剖框架中。

PIs: Martin Deschênes, Yoav Freund, David Golomb, David Kleinfeld (lead), Fan Wang ! Core 2. Abstract Precision Histology This Core provides high-throughput tape transfer sectioning to cut near perfect stacks of slices of the whole brain, from olfactory bulb to spinal level C2. The tape transfer histology system has been in continuous operation in the Mitra laboratory for several years and will enable the registration of anatomical data from Research Projects 1, 2, and 3, into a common framework established by the Trainable Texture-based Digital Atlas. Control of orofacial actions is coordinated by distinct populations of brain stem premotor neurons that are arranged into relatively small clusters and limited to domains as small as 200 to 300 µm in extent. For many orofacial motor actions, premotor neuronal clusters are present at multiple levels of the brainstem and do not conform to the boundaries previously defined by available atlases, including the Paxinos atlases and the Allen Brain Common Coordinate Framework atlas. As part of our concerted effort to identify the functional organization of brainstem motor control, we require standardized processing of brain tissue. The established histology pipeline in the Mitra laboratory offers key advantages over alternative methods, in that tissue is retained in near perfect alignment during sectioning and is amenable to standard histological stains that demarcate brainstem landmarks used to align and annotate brains. Crucially, this approach precludes distortions from classical sectioning methods and enables efficient 3D reconstructions, cross-brain registration, and efficient incorporation of data from new brains into our recently developed Trainable Texture-based Digital Atlas. By efficiently multiplexing labeled neurons from transsynaptic tracing, in vivo recordings, and transgenic mice/cell type marker stains, the Precision Histology Core serves to support data compilation into a common anatomical framework.