Browsing by Author "Gayubo, Fernando"
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- An automatic method to track red blood cells in microchannelsPublication . Pinho, Diana; Gayubo, Fernando; Pereira, Ana I.; Lima, Rui A.Image analysis is extremely important to obtain crucial information about the blood phenomena in micro-circulation. The current study proposes an automatic method for segmentation and tracking red blood cells (RBCs) 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 automatic measurements ob-tained with the proposed automatic method are compared with a manual tracking method using a plugin from ImageJ.
- Automatic tracking of labeled red blood cells in microchannelsPublication . Pinho, Diana; Lima, Rui A.; Pereira, Ana I.; Gayubo, FernandoThe 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.
- A comparison between a manual and automatic method to characterize red blood cell trajectoriesPublication . Pinto, Diana; Gayubo, Fernando; Pereira, Ana I.; Lima, Rui A.The current study proposes an automatic method for the segmentation and tracking of red blood cells (RBCs) flowing through a 100 u m glass capillary. The measurements obtained with the proposed automatic method are compared with a manual tracking method using nonlinear optimization techniques.
- Tracking erythrocytes in a 100 in glass capillaryPublication . Pinho, Diana; Gayubo, Fernando; Pereira, Ana I.; Lima, Rui A.Image analysis is extremely important to obtain crucial information about the blood phenomena in microcirculation. The current study proposes an automatic method for segmentation and tracking red blood cells (RBCs) flowing though a 100 μm Glass capillary. The original images were obtained by means of a confocal system and then processed in Matlab by using the Image Processing Toolbox. The automatic measurements obtained with the proposed automatic method are compared with a manual tracking plugin from ImageJ.
- Tracking red blood cells in microchannels: a comparative study between an automatic and a manual methodPublication . Pinho, Diana; Lima, Rui A.; Pereira, Ana I.; Gayubo, FernandoImage analysis is extremely important to obtain crucial information about the blood phenomena in microcirculation. The current study proposes an automatic method for segmentation and tracking red blood cells (RBCs) 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 automatic measurements with the proposed automatic method are compared with a manual tracking method performed by ImageJ. The comparison of the two methods is performed using a statistical Bland–Altman analysis. The numerical results have shown a good agreement between the two methods. Additionally, no significant difference was found between the two methods and as a result the proposed automatic method is demonstrated to be a rapid and accurate way to track RBCs in microchannels.
- Tracking red blood cells in microchannels: a comparative study between an automatic and a manual methodPublication . Pinho, Diana; Lima, Rui A.; Pereira, Ana I.; Gayubo, FernandoImage analysis is extremely important to obtain crucial information about the blood phenomena in microcirculation. The current study proposes an automatic method for segmentation and tracking red blood cells (RBCs) 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 automatic measurements obtained with the proposed automatic method are compared with a manual tracking method using a plugin from ImageJ.