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Automatic tracking of labeled red blood cells in microchannels

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Detalhes bibliográficos
Resumo:The current study proposes an automatic method for the segmentation and tracking of red blood cells flowing through a 100- m 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.
Autores principais:Pinho, Diana
Outros Autores:Lima, Rui A.; Pereira, Ana I.; Gayubo, Fernando
Assunto:Image analysis Automatic method Red blood cells In vitro blood flow
Ano:2013
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:The current study proposes an automatic method for the segmentation and tracking of red blood cells flowing through a 100- m 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.