This lecture introduces NeuroM, an open-source tool for visualizing and analyzing neuronal morphologies. The instructor demonstrates how to check the quality of a neuron's structure, extract basic morphometrics, and visualize the neuron in 2D, 3D, and dendrogram formats. The lecture covers importing NeuroM in Python, loading neuron files, and extracting features like total length, surface area, volume, and soma size.