Mauricio Claudio R M, Schneider Fabio K, Dos Santos Leonilda Correia
Engineering and Exact Sciences Center, Unioeste-Western Paraná State University, Foz do Iguaçu, PR, Brazil.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:438-41. doi: 10.1109/IEMBS.2010.5627383.
An image-based red blood cell (RBC) automatic counting system is presented for wild animals blood analysis. Images with 2048×1536-pixel resolution acquired on an optical microscope using Neubauer chambers are used to evaluate RBC counting for three animal species (Leopardus pardalis, Cebus apella and Nasua nasua) and the error found using the proposed method is similar to that obtained for inter observer visual counting method, i.e., around 10%. Smaller errors (e.g., 3%) can be obtained in regions with less grid artifacts. These promising results allow the use of the proposed method either as a complete automatic counting tool in laboratories for wild animal's blood analysis or as a first counting stage in a semi-automatic counting tool.
提出了一种基于图像的红细胞（RBC）自动计数系统，用于野生动物血液分析。使用Neubauer计数板在光学显微镜上采集的分辨率为2048×1536像素的图像，用于评估三种动物（豹猫、卷尾猴和白鼻浣熊）的红细胞计数，并且使用该方法发现的误差与观察者间视觉计数方法获得的误差相似，即约为10%。在网格伪影较少的区域可以获得较小的误差（例如3%）。这些有前景的结果使得该方法既可以作为实验室中野生动物血液分析的完整自动计数工具，也可以作为半自动计数工具中的第一计数阶段。
