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Single-cell volume estimation by applying three-dimensionalreconstruction methods,

机译:通过应用三维重构方法进行单细胞体积估计,

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Abstract: We have studied three-dimensional reconstruction methods to estimate the cell volume of astroglial cells in primary culture. The studies are based on fluorescence imaging and optical sectioning. An automated image-acquisition system was developed to collect two-dimensional microscopic images. Images were reconstructed by the Linear Maximum a Posteriori method and the non-linear Maximum Likelihood Expectation Maximization (ML-EM) method. In addition, because of the high computational demand of the ML-EM algorithm, we have developed a fast variant of this method. (1) Advanced image analysis techniques were applied for accurate and automated cell volume determination. (2) The sensitivity and accuracy of the reconstruction methods were evaluated by using fluorescent micro-beads with known diameter. The algorithms were applied to fura-2-labeled astroglial cells in primary culture exposed to hypo- or hyper-osmotic stress. The results showed that the ML-EM reconstructed images are adequate for the determination of volume changes in cells or parts thereof. !22
机译:摘要:我们研究了三维重建方法来估计原代培养中星形胶质细胞的细胞体积。这些研究基于荧光成像和光学切片。开发了自动图像采集系统以收集二维显微图像。通过线性最大后验方法和非线性最大似然期望最大化(ML-EM)方法重建图像。此外,由于ML-EM算法对计算的要求很高,因此我们开发了此方法的快速变体。 (1)应用先进的图像分析技术来准确,自动地确定细胞体积。 (2)通过使用已知直径的荧光微珠评估重建方法的灵敏度和准确性。该算法被应用于暴露于低渗或高渗压力的原代培养物中呋喃2标记的星形胶质细胞。结果表明,ML-EM重建图像足以确定细胞或其部分的体积变化。 !22

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