Mann R C
Cytometry. 1983 Jan;3(4):257-61. doi: 10.1002/cyto.990030405.
A model is presented to compare the separability of cell populations described by features measured in low resolution slit-scanning flow systems with their separability when the features are extracted from high resolution digitized cell images. The results show that although the accuracy of the feature measurements deteriorates for increasing slit width, this is not necessarily true for the discriminatory power of the features. Depending on their original position in the high resolution feature space, the cell populations may be located even farther apart in the space of low resolution slit-scan features for reasonably small widths of the slit. The results presented with high resolution images of cells from gynecological specimens and simulated slit-scan measurements can be explained by the model. For the features nuclear DNA content and diameter the abnormal populations are shifted closer to the normal populations in the slit-scan simulations as compared to the high resolution measurements. The cell classifier errors rates are unacceptably high.
本文提出了一个模型，用于比较在低分辨率狭缝扫描流动系统中通过测量特征描述的细胞群体的可分离性，以及从高分辨率数字化细胞图像中提取这些特征时细胞群体的可分离性。结果表明，虽然随着狭缝宽度增加，特征测量的准确性会下降，但特征的判别能力不一定如此。根据细胞群体在高分辨率特征空间中的原始位置，对于狭缝宽度合理小的情况，它们在低分辨率狭缝扫描特征空间中可能相距更远。用妇科标本细胞的高分辨率图像和模拟狭缝扫描测量结果所呈现的结果可以由该模型解释。对于核DNA含量和直径这两个特征，与高分辨率测量相比，在狭缝扫描模拟中异常群体向正常群体偏移得更近。细胞分类器的错误率高得令人无法接受。
