| Literature DB >> 26738019 |
Aurelien Bourquard, Ian Butterworth, Alvaro Sanchez-Ferro, Luca Giancardo, Luis Soenksen, Carolina Cerrato, Rafael Flores, Carlos Castro-Gonzalez.
Abstract
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.Entities:
Mesh：
Year: 2015 PMID： 26738019 PMCID： PMC4858189 DOI： 10.1109/EMBC.2015.7320119
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X