NCAMilla

NCAMilla is a computational tool designed for the analysis of neural data, specifically focusing on the reconstruction and modeling of neuronal morphology. It is developed by the Neuroscience Information Framework (NIF) and aims to provide researchers with a user-friendly platform for processing and visualizing complex neuronal structures from imaging data.

The software facilitates the tracing of neuronal arbors, allowing for the detailed reconstruction of dendritic and axonal trees. This process typically involves importing 2D or 3D microscopy images and then employing algorithms to identify and follow the intricate pathways of neuronal processes. NCAMilla supports various file formats commonly used in neuroscience imaging.

Key functionalities of NCAMilla include the ability to segment neuronal structures, quantify morphological features such as branching patterns and lengths, and to generate 3D models of neurons. These models can then be used for further computational analysis, comparative studies, and for building detailed neuronal atlases. The tool aims to standardize and streamline the process of neuronal reconstruction, which is crucial for understanding neuronal connectivity and function. Its development is part of a broader effort to improve data accessibility and interoperability within the neuroscience community.