Automated cell counting method for microgroove based microfluidic device

摘要

Microfluidic grooves and channels enable the control of cell positioning and capturing of cells in cell-based biosensor applications. Microfluidic devices also provide a platform for cell-based biological assays. Microfluidic channels have been used to capture cells for various cell-based diagnostics and screening applications. The number of cells and cell locations are important factors which will affect the flow pattern in the microfluidic device and consequently induced shear stresses. Moreover, manual cell counting and cell information extraction is a time consuming and tedious task. Automated techniques reduce human errors and expedite the process. Furthermore, it facilitates extraction of information from obtained images for further fluidic analysis.