University of Florence , European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino 50019, Italy ; University of Florence , Department of Physics and Astronomy, Via Sansone 1, Sesto Fiorentino 50019, Italy.
University of Florence , European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino 50019, Italy ; National Institute of Optics , National Research Council, Via Nello Carrara 1, Sesto Fiorentino 50019, Italy.
Neurophotonics. 2015 Oct;2(4):041404. doi: 10.1117/1.NPh.2.4.041404. Epub 2015 Jun 29.
Comprehensive mapping and quantification of neuronal projections in the central nervous system requires high-throughput imaging of large volumes with microscopic resolution. To this end, we have developed a confocal light-sheet microscope that has been optimized for three-dimensional (3-D) imaging of structurally intact clarified whole-mount mouse brains. We describe the optical and electromechanical arrangement of the microscope and give details on the organization of the microscope management software. The software orchestrates all components of the microscope, coordinates critical timing and synchronization, and has been written in a versatile and modular structure using the LabVIEW language. It can easily be adapted and integrated to other microscope systems and has been made freely available to the light-sheet community. The tremendous amount of data routinely generated by light-sheet microscopy further requires novel strategies for data handling and storage. To complete the full imaging pipeline of our high-throughput microscope, we further elaborate on big data management from streaming of raw images up to stitching of 3-D datasets. The mesoscale neuroanatomy imaged at micron-scale resolution in those datasets allows characterization and quantification of neuronal projections in unsectioned mouse brains.
全面绘制和量化中枢神经系统中的神经元投射需要以微观分辨率对大容量进行高通量成像。为此,我们开发了一种共聚焦光片显微镜,该显微镜经过优化,可用于对结构完整的澄清全脑进行三维(3-D)成像。我们描述了显微镜的光学和机电布置,并详细介绍了显微镜管理软件的组织。该软件协调显微镜的所有组件,协调关键的定时和同步,并使用 LabVIEW 语言编写了灵活且模块化的结构。它可以轻松地适应和集成到其他显微镜系统中,并免费提供给光片社区。光片显微镜通常生成大量数据,这进一步需要新的数据处理和存储策略。为了完成我们高通量显微镜的完整成像管道,我们进一步阐述了从原始图像流到 3-D 数据集拼接的大数据管理。在这些数据集以微米级分辨率成像的介观神经解剖结构允许对未切片的小鼠大脑中的神经元投射进行特征描述和量化。