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Robust Automated Algorithm for Counting Mouse Axions

This paper presents a robust technique for counting axion cells within a digital image of a mouse neuron bundle. The method involves employing Matlab to transform the color image into grayscale, performing regional histogram equalization, thresholding the image, and finally detecting cell boundary using morphological technique. This algorithm detects and counts cell boundaries with 92% accuracy.