A Pump Based Microfluidic Image Processing System for Droplet Detection and Counting

4th Annual International Workshop on Materials Science and Engineering

Mehmood, Faisal^1 ; Haider, Zeeshan^2 ; Yin, Baoqun^1

Department of Automation, University of Science and Technology of China, Hefei, Anhui, China^1

Department of Biomedical Engineering, School of Information Science, USTC, Hefei, Anhui, China^2

关键词: Biomedical applications;    Droplet detections;    Droplet microfluidics;    Image processing algorithm;    Image processing system;    Phosphate-buffered salines;    Polyethylene glycol diacrylate;    Temporal differencing;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/381/1/012191/pdf
DOI  :  10.1088/1757-899X/381/1/012191

来源: IOP

【 摘 要 】

Droplet Microfluidics has attracted great attention in recent years because of its interdisciplinary nature and had a wide application in various field especially biomedical applications. Till now researcher focus on controlling the size of droplet through flow rates but none of them focus on droplet detection and counting. This is the first research in which we have presented an automatic system based on Image processing algorithm for detection and counting of the droplets. The image processing algorithm is based on temporal differencing-based motion detection algorithm for continuous flowing droplet detection and counting. Moreover, the overall system was tested to generate droplet of phosphate-buffered Saline and 8% polyethylene glycol diacrylate pre-polymer droplet. The results depicted that our algorithm is capable of detecting the droplets as well as counting them with lowest statistical errors.