Sholl Analysis Using Python - Quantifying Neuronal Branching Patterns

Learn how to perform Sholl analysis, a crucial method in neuroscience for quantifying neuronal branching complexity, using Python. Explore the step-by-step process of overlaying concentric circles on neuron images, counting intersections with neuronal processes, and generating plots to visualize branching patterns. Discover the applications of this technique in comparing neuron morphology across different cell types and conditions, as well as assessing structural changes during development or disease. Gain hands-on experience with Python code for automated Sholl analysis, assuming the soma as the largest, brightest object in the image. By the end of this 22-minute tutorial, master the skills needed to analyze and interpret neuronal branching patterns using this powerful quantitative method.