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This 13-minute talk by Lida Kanari from the Applied Algebraic Topology Network introduces the Topological Morphology Descriptor (TMD), a novel method for analyzing branching structures in biological systems, particularly neuronal trees. Learn how Topological Data Analysis (TDA) can encode the spatial structure of any tree as a persistence barcode, creating a unique topological signature. Discover how TMD differs from traditional morphometrics by coupling branch topology with spatial dimensions through tracking topological evolution in 3D space. The presentation includes references to multiple research papers and the TMD software repository for those interested in exploring this innovative approach to neuronal morphology analysis further.
