论文标题
使用傅立叶变换测量细胞在细胞组织中分布的平均细胞大小和宽度
Measuring the average cell size and width of its distribution in cellular tissues using Fourier Transform
论文作者
论文摘要
我们对完全自动化的基于傅立叶的分析进行了深入研究,以确定细胞大小及其在3D生物组织中的分布宽度。使用生成的图像对结果进行了彻底的测试,我们为图像采集设置提供了有价值的标准以优化准确性。我们证明了最重要的参数是视场中的单元格数,并且我们证明已经可以在仅包含3x3x3单元的体积上进行准确的测量值。 $ z $中的分辨率也不是那么重要,并且减少了每个单元格的顺序的深度图像数量减少,已经提供了平均单元格大小的度量,而误差小于5 \%。因此,该技术似乎是一种非常有前途的工具,用于在3D组织\ TextIt {in Vivo}中非常快速的局部体积细胞测量,同时强烈限制了光漂白和光毒性问题。
We present an in-depth investigation of a fully automated Fourier-based analysis to determine the cell size and the width of its distribution in 3D biological tissues. The results are thoroughly tested using generated images, and we offer valuable criteria for image acquisition settings to optimize accuracy. We demonstrate that the most important parameter is the number of cells in the field of view, and we show that accurate measurements can already be made on volume only containing 3x3x3 cells. The resolution in $z$ is also not so important and a reduced number of in-depth images, of order of one per cell, already provides a measure of the mean cell size with less than 5\% error. The technique thus appears to be a very promising tool for very fast live local volume cell measurement in 3D tissues \textit{in vivo} while strongly limiting photobleaching and phototoxicity issues.