Image segmentation is a complex area of work that, when perfected, could create a plethora of innovation and discoveries. Our current research focuses on using image segmentation to extract data of astrocyte cells, the most abundant glial cells found within the brain. We were given an existing plugin that failed to work consistently. We refactored the plugin and replaced the previous preprocessing method with our own method. Then we corrected the method of defining the astrocyte cell body and its primary branches. Finally, we added functionality to save data extracted from the astrocytes and allowed for segmenting multiple astrocytes from a single image. Our future work involves developing a new method for defining the cell body and primary branches of the astrocyte for better accuracy, and creating a method for automatic seed points.
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