Analysis of white blood cell dynamics in nailfold capillaries
Year: 2015
Type: conference-paper
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.
Authors: Aurelien Bourquard, Ian Butterworth, Alvaro Sanchez-Ferro, Luca Giancardo, Luis Soenksen, Carolina Cerrato, Rafael Flores, Carlos Castro-Gonzalez
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2294534727