Automated Cell Segmentation Method for Extracting Cell Information From Phase Contrast Microscopy of a Microfluidic Device

Technological advancement in cell and microscopy imaging generate a high demand for complex image analysis techniques. Image processing techniques are powerful tools to assess the images and extract information for quantization and evaluation of regions. It is crucial to develop advanced automatic cell segmentation methods with capability to analyze image data with high level of accuracy. In this paper, a quantitative technique is developed to count the number of cells from phase contrast microscopy. The technique selects region of interests (ROI) in the cell images and it measures the cell locations within ROI in a specific microfluidic device. The cell location is an important factor which will affect the flow pattern in the microfluidic device and consequently induced shear stresses.