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一种用于评估微孔滤膜中人类粒细胞运动正常曲线的图像处理程序。

An image processing procedure for the assessment of normality curves of motility of human granulocytes in micropore filters.

作者信息

Azzaraà A, Chimenti M, Carulli G, Rizzuti-Gullaci A, Ambrogi F

机构信息

Unità Operativa di Ematologia, Università di Pisa, Italy.

出版信息

Scand J Clin Lab Invest. 1995 Aug;55(5):399-408. doi: 10.3109/00365519509104979.

Abstract

With the conventional methods used in current practice, the results of human granulocyte motility assays are expressed by a numerical value that defines the leading front of cells into micropore filters. The authors have developed a fast procedure which allows the complete curve of polymorphonuclear leukocyte (PMN) migration to be obtained, from the initial plane of a filter to the maximum propagation depth. In this way, more information is given than that expressed by a single parameter. The paper describes the procedure used to determine the normality curves both for random and stimulated migration, according to a simple model which defines the PMN propagation in micropore filters. A normality band that defines variations due to the stochastic process is also reported.

摘要

采用当前实践中使用的传统方法,人类粒细胞运动性测定的结果由一个数值表示,该数值定义了细胞进入微孔滤膜的前沿。作者开发了一种快速程序,可获得多形核白细胞(PMN)从滤膜初始平面到最大传播深度的完整迁移曲线。通过这种方式,提供的信息比单个参数所表达的更多。本文根据一个定义PMN在微孔滤膜中传播的简单模型,描述了用于确定随机迁移和刺激迁移的正态曲线的程序。还报告了一个定义随机过程引起的变化的正态带。

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