The European Physical Journal E ( IF 1.8 ) Pub Date : 2022-05-09 , DOI: 10.1140/epje/s10189-022-00198-y Tess Homan 1 , Sylvain Monnier 1 , Cécile Jebane 1 , Alice Nicolas 2 , Hélène Delanoë-Ayari 1
|
Abstract
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 \(3\times 3\times 3\) 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 in vivo while strongly limiting photobleaching and phototoxicity issues.
Graphic abstract
中文翻译：
使用傅里叶变换测量其在细胞组织中分布的平均细胞大小和宽度
摘要
我们对全自动基于傅里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全面测试，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野中的细胞数量，并且我们表明已经可以对仅包含\(3\times 3\times 3\)细胞的体积进行精确测量。z中的分辨率也不是那么重要，并且减少的深度图像数量（每个细胞一个数量级）已经提供了平均细胞大小的测量，误差小于 5%。因此，该技术似乎是一种非常有前途的工具，可以在体内 3D 组织中进行非常快速的活体局部体积细胞测量，同时强烈限制光漂白和光毒性问题。
京公网安备 11010802027423号