Abstract

Fish erythrocytes released from erythropoietic sites are immature. During circulation, they increase their own surface, while the cell body and nuclei begin to become more elliptical and less spherical during maturation. The relative abundance of different developmental stages represents an erythron profile which could be a more sensitive indicator of contamination than classic hematological indices. In this study, we analyzed blood smears of the common nase (Chondrostoma nasus) and vimba bream (Vimba vimba) with the main goal to identify the determinants of the developmental stage of erythrocytes. Based on parameters developmental stages, erythrocytes are categorized into immature, intermediate or mature. In this investigation we have used four classification methods: the Two Step Cluster analysis, the K-Means Cluster analysis, and Neural Networks–Multilayer Perceptron and an Ordinal Regression model. Our findings clearly justify that Multilayers Perceptron and OLR models are appropriate to classify the developmental stage of fish erythrocytes in both species.

中文翻译：

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不同分类方法在确定普通鼻鱼（Chondrostoma nasus）和温巴am（Vimba vimba）鱼红细胞发育阶段中的应用。

摘要

从红细胞生成部位释放的鱼红细胞不成熟。在循环过程中，它们增加了自身的表面，而在成熟过程中，细胞体和细胞核开始变得更椭圆，球形更小。不同发育阶段的相对丰度代表了赤铁曲线，与经典的血液学指标相比，它可能是更敏感的污染指示。在这项研究中，我们分析了常见n​​ase（Chondrostoma nasus）和vi鲷（Vimba vimba）的血液涂片），其主要目标是确定红细胞发育阶段的决定因素。根据参数发育阶段，将红细胞分为未成熟，中间或成熟。在这项调查中，我们使用了四种分类方法：两步聚类分析，K均值聚类分析以及神经网络-多层感知器和序数回归模型。我们的发现清楚地证明了多层感知器和OLR模型适合对两个物种中鱼类红细胞的发育阶段进行分类。