Liu Yang, Dale Savannah, Ball Rebecca, VanLeuven Ariel J, Sornborger Andrew, Lauderdale James D, Kner Peter
University of Georgia, College of Engineering, Athens, Georgia, United States.
Clemson University, Department of Bioengineering, Clemson, South Carolina, United States.
Neurophotonics. 2019 Jan;6(1):015009. doi: 10.1117/1.NPh.6.1.015009. Epub 2019 Mar 5.
Light sheet fluorescence microscopy (LSFM) is a powerful tool for investigating model organisms including zebrafish. However, due to scattering and refractive index variations within the sample, the resulting image often suffers from low contrast. Structured illumination (SI) has been combined with scanned LSFM to remove out-of-focus and scattered light using square-law detection. Here, we demonstrate that the combination of LSFM with linear reconstruction SI can further increase resolution and contrast in the vertical and axial directions compared to the widely adopted root-mean square reconstruction method while using the same input images. We apply this approach to imaging neural activity in 7-day postfertilization zebrafish larvae. We imaged two-dimensional sections of the zebrafish central nervous system in two colors at an effective frame rate of 7 frames per second.
光片荧光显微镜(LSFM)是研究包括斑马鱼在内的模式生物的强大工具。然而,由于样品内部的散射和折射率变化,所得到的图像往往对比度较低。结构化照明(SI)已与扫描式LSFM相结合,利用平方律检测去除离焦光和散射光。在此,我们证明,与广泛采用的均方根重建方法相比,在使用相同输入图像的情况下,LSFM与线性重建SI相结合可以在垂直和轴向方向上进一步提高分辨率和对比度。我们将这种方法应用于对受精后7天的斑马鱼幼体的神经活动进行成像。我们以每秒7帧的有效帧率对斑马鱼中枢神经系统的二维切片进行了双色成像。