Institute Polytechnic of Bragança, Portugal; FEUP, Porto University, Portugal.
Int J Numer Method Biomed Eng. 2013 Sep;29(9):977-87. doi: 10.1002/cnm.2526. Epub 2012 Nov 12.
The current study proposes an automatic method for the segmentation and tracking of red blood cells flowing through a 100- μm glass capillary. The original images were obtained by means of a confocal system and then processed in MATLAB using the Image Processing Toolbox. The measurements obtained with the proposed automatic method were compared with the results determined by a manual tracking method. The comparison was performed by using both linear regressions and Bland-Altman analysis. The results have shown a good agreement between the two methods. Therefore, the proposed automatic method is a powerful way to provide rapid and accurate measurements for in vitro blood experiments in microchannels.
本研究提出了一种自动分割和跟踪通过 100-μm 玻璃毛细管流动的红细胞的方法。原始图像通过共聚焦系统获得,然后在 MATLAB 中使用图像处理工具箱进行处理。使用所提出的自动方法获得的测量结果与手动跟踪方法确定的结果进行了比较。比较使用了线性回归和 Bland-Altman 分析。结果表明两种方法之间具有良好的一致性。因此,所提出的自动方法是提供微通道中体外血液实验快速准确测量的有力方法。