MorphML

MorphML is an XML-based format designed for describing the morphology of neurons. It provides a standardized way to represent the intricate branching structures of neurons, which are essential for understanding neuronal function and connectivity. The format allows for the representation of various neuronal components, including the soma, dendrites, axons, and their respective sub-branches.

The primary goal of MorphML is to facilitate the exchange of neuronal morphological data between different software programs and research groups. This interoperability is crucial for large-scale computational neuroscience projects and for the sharing of experimental data. MorphML can encode information such as the 3D coordinates of neuronal segments, their diameters, and their connectivity. It also supports the annotation of neuronal features, such as synaptic locations or ion channel distributions.

The development of MorphML was driven by the need for a common language to describe neuronal morphology, addressing limitations of earlier, less standardized methods. Its hierarchical structure allows for the representation of complex branching patterns in a clear and organized manner. Various tools and libraries have been developed to parse, create, and visualize MorphML data, further supporting its adoption in the neuroscience community. Researchers use MorphML to store, share, and analyze the shapes of neurons, contributing to a deeper understanding of brain function and disease.