National Institute of Optics, National Research Council, Sesto Fiorentino, 50019, Italy.
European Laboratory for Non-Linear Spectroscopy, LENS, Sesto Fiorentino, 50019, Italy.
eNeuro. 2018 Nov 22;5(6). doi: 10.1523/ENEURO.0124-18.2018. eCollection 2018 Nov-Dec.
Light-sheet microscopy (LSM) has proven a useful tool in neuroscience to image whole brains with high frame rates at cellular resolution and, in combination with tissue clearing methods, is often employed to reconstruct the cyto-architecture over the intact mouse brain. Inherently to LSM, however, residual opaque objects, always present to some extent even in extremely well optically cleared samples, cause stripe artifacts, which, in the best case, severely affect image homogeneity and, in the worst case, completely obscure features of interest. Here, demonstrating two example applications in intact optically cleared mouse brains, we report how Bessel beams reduce streaking artifacts and produce high-fidelity structural data for the brain-wide morphology of neuronal and vascular networks. We found that a third of the imaged volume of the brain was affected by strong striated image intensity inhomogeneity and, furthermore, a significant amount of information content lost with Gaussian illumination was accessible when interrogated with Bessel beams. In conclusion, Bessel beams produce high-fidelity structural data of improved image homogeneity and might significantly relax demands placed on the automated tools to count, trace, or segment fluorescent features of interest.
光片显微镜(LSM)已被证明是神经科学中的一种有用工具,可用于以细胞分辨率高速成像整个大脑,并且与组织透明化方法结合使用,通常用于重建完整小鼠大脑的细胞结构。然而,LSM 固有地存在残留的不透明物体,即使在非常好的光学透明化样本中,也总是存在一定程度的不透明物体,导致条纹伪影,在最好的情况下,严重影响图像的均匀性,在最坏的情况下,完全掩盖了感兴趣的特征。在这里,我们通过两个完整的光透明化小鼠大脑中的示例应用,报告了贝塞尔光束如何减少条纹伪影,并为神经元和血管网络的全脑形态提供了高保真的结构数据。我们发现,大脑三分之一的成像体积受到强烈条纹状图像强度不均匀性的影响,此外,当用贝塞尔光束进行探测时,用高斯照明丢失的大量信息内容是可获得的。总之,贝塞尔光束产生了改进的图像均匀性的高保真结构数据,并且可能会显著放宽对自动工具的要求,以计数、追踪或分割感兴趣的荧光特征。