2012
DOI: 10.1002/cnm.2526
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Automatic tracking of labeled red blood cells in microchannels

Abstract: 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… Show more

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Cited by 22 publications
(14 citation statements)
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“…As a result, it is possible to obtain the CFL thickness. The procedure to track individual RBCs is presented and discussed in more detail elsewhere 7,19 .…”
Section: Image Analysismentioning
confidence: 99%
“…As a result, it is possible to obtain the CFL thickness. The procedure to track individual RBCs is presented and discussed in more detail elsewhere 7,19 .…”
Section: Image Analysismentioning
confidence: 99%
“…To study the behavior of the CFL along complex geometries, image analysis plays an important role [18,19].…”
mentioning
confidence: 99%
“…However, the development of automatic tracking algorithms was out of the scope of this study. Pinho et al [28] proposed an automatic method able to compute multiple trajectories in a time effective manner and compared it to the manual tracking method used in the present study and they did not find significant differences. Hence, manual tracking was considered accurate enough for the purpose of this study.…”
Section: Transport Of Cells Inside the Scaffoldmentioning
confidence: 53%