Büsche G, Schlué J, Georgii A
Pathologisches Institut der Medizinischen Hochschule, Hannover, Germany.
Anal Quant Cytol Histol. 1997 Dec;19(6):489-500.
A new parametric method is presented, called "square sampling," which speeds up the estimate of the number of cells or particles that are randomly distributed within a tissue.
The principle of square sampling is subdivision of a biopsy into at least 100 squares of the same size using a measuring ocular or computer-based morphometric system and estimating the cell number by counting "positive" squares, squares with at least one cell of interest, assuming a binomial distribution of positive squares, depending on numerical density.
The derived estimate yielded almost identical results when compared with the exact count of pseudo-Gaucher cells within bone marrow biopsies from untreated patients with chronic myeloid leukemia (r = .97, examined area = 94 x 2 mm2, with 400 squares/2 mm2), but (1) the total time of investigation could be halved by square sampling (25.1 versus 55.3 hours, P < .00005), and (2) the estimated number of cells did not very more widely around the mean exact count than the cell numbers exactly counted (P > .05).
Square sampling is an easy, fast and effective alternative to nonparametric approaches in order to quantify the numerical density of cells randomly distributed within a tissue. The method can also be applied to test hypotheses of random distribution as well as to quantify a clustering of cells in cases of nonrandom cell distribution.
提出一种新的参数方法，称为“方形抽样”，它可加快对随机分布在组织内的细胞或颗粒数量的估计。
方形抽样的原理是使用测量目镜或基于计算机的形态测量系统将活检样本细分为至少100个大小相同的正方形，并通过计数“阳性”正方形（即至少有一个感兴趣细胞的正方形）来估计细胞数量，假设阳性正方形呈二项分布，这取决于数值密度。
与慢性粒细胞白血病未治疗患者骨髓活检中假性戈谢细胞的精确计数相比，推导得出的估计值产生了几乎相同的结果（r = 0.97，检查面积 = 94×2平方毫米，每2平方毫米有400个正方形），但是（1）通过方形抽样，总调查时间可减半（25.1小时对55.3小时，P < 0.00005），并且（2）估计的细胞数量围绕平均精确计数的波动幅度并不比精确计数的细胞数量波动幅度更大（P > 0.05）。
方形抽样是一种简便、快速且有效的非参数方法替代方案，用于量化随机分布在组织内的细胞的数值密度。该方法还可应用于检验随机分布的假设，以及在细胞分布非随机的情况下量化细胞的聚集情况。
