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Three-dimensional nucleus-to-cytoplasm ratios provide better discrimination of normal and lung adenocarcinoma cells than in two dimensions

机译:三维核/质比比二维对正常和肺腺癌细胞的区分更好

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摘要

We acquired multiphoton images of normal and lung adenocarcinoma cell lines in three dimensions. Image stacks of the cells were then processed to obtain nucleus-to-cytoplasm (N/C) ratios in two and three dimensions. While N/C ratios in three dimensions can be unambiguously determined from the volumetric ratios of the nucleus and cytoplasm, two-dimensional (2-D) N/C can vary depending on the axial plane selected for N/C ratio determination. We determined 2-D N/C ratios from three criteria: (1) axial position at which the nuclear area is the largest; (2) the largest 2-D N/C ratio value; and (3) axial position at the midpoint of nuclear axial position. We found that different definitions of 2-D N/C ratio will significantly affect its value. Furthermore, in general, larger variance was found in 2-D rather than three-dimensional (3-D) N/C ratios. Lack of ambiguity in definition and reduced variance suggest that 3-D N/C ratio is a better parameter for characterizing tumor cells in the clinical setting.
机译:我们在三个维度上获取了正常和肺腺癌细胞系的多光子图像。然后处理细胞的图像叠层以获得二维和三维的核与细胞质(N / C)比。虽然可以从细胞核和细胞质的体积比中明确确定三维的N / C比,但是二维(2-D)N / C可以根据为N / C比确定而选择的轴向平面而变化。我们根据三个标准确定了2-D N / C比:(1)核面积最大的轴向位置; (2)最大的2-D N / C比值; (3)轴向位置位于核轴向位置的中点。我们发现2-D N / C比的不同定义将显着影响其值。此外,通常在2-D而非三维(3-D)N / C比中发现更大的方差。缺乏明确的定义和减少的方差表明3-D N / C比是在临床环境中表征肿瘤细胞的更好参数。

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