Bourquard Aurelien, Butterworth Ian, Sanchez-Ferro Alvaro, Giancardo Luca, Soenksen Luis, Cerrato Carolina, Flores Rafael, Castro-Gonzalez Carlos
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:7470-3. doi: 10.1109/EMBC.2015.7320119.
Based on video data acquired with low-cost, portable microscopy equipment, we introduce a semi-automatic method to count visual gaps in the blood flow as a proxy for white blood cells (WBC) passing through nailfold capillaries. Following minimal user interaction and a pre-processing stage, our method consists in the spatio-temporal segmentation and analysis of capillary profiles. Besides the mere count information, it also estimates the speed associated with every WBC event. The accuracy of our algorithm is validated through the analysis of two capillaries acquired from one healthy subject. Results are compared with manual counts from four human raters and confronted with related physiological data reported in literature.
基于使用低成本便携式显微镜设备获取的视频数据,我们引入了一种半自动方法来计数血流中的视觉间隙,以此作为白细胞通过甲襞毛细血管的替代指标。经过最少的用户交互和预处理阶段后,我们的方法包括对毛细血管轮廓进行时空分割和分析。除了单纯的计数信息外,它还能估计与每个白细胞事件相关的速度。我们通过分析从一名健康受试者获取的两根毛细血管来验证算法的准确性。将结果与四名人类评分者的手动计数进行比较,并与文献中报道的相关生理数据进行对照。