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Automatic analysis of microscopic images of red blood cell aggregates

机译:自动分析红细胞聚集体的显微图像

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Red blood cell aggregation is one of the most important factors in blood viscosity at stasis or at very low rates of flow. The basic structure of aggregates is a linear array of cell commonly termed as rouleaux. Enhanced or abnormal aggregation is seen in clinical conditions, such as diabetes and hypertension, producing alterations in the microcirculation, some of which can be analyzed through the characterization of aggregated cells. Frequently, image processing and analysis for the characterization of RBC aggregation were done manually or semi-automatically using interactive tools. We propose a system that processes images of RBC aggregation and automatically obtains the characterization and quantification of the different types of RBC aggregates. Present technique could be interesting to perform the adaptation as a routine used in hemorheological and Clinical Biochemistry Laboratories because this automatic method is rapid, efficient and economical, and at the same time independent of the user performing the analysis (repeatability of the analysis).
机译:红血球聚集是瘀血或极低流量时血液粘度的最重要因素之一。聚集体的基本结构是细胞的线性阵列,通常称为rouleaux。在诸如糖尿病和高血压的临床状况中观察到增强的或异常的聚集,从而在微循环中产生改变,其中一些可以通过聚集细胞的表征来分析。通常,使用交互工具手动或半自动进行用于RBC聚集特征的图像处理和分析。我们提出了一种系统,该系统处理RBC聚集的图像并自动获得不同类型的RBC聚集的特征和量化。当前的技术作为血液流变学和临床生物化学实验室中的常规方法来进行适应可能会很有趣,因为这种自动方法快速,高效,经济,并且与用户执行分析无关(分析的可重复性)。

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