Morphologically complex cells, such as astrocytes, shape brain function in ways that we do not yet fully understand. We present here a Blender-based toolkit CellRemorph (Keto & Manninen, 2023; https://github.com/lauraketo/CellRemorph) to address the specific challenges and requirements of building morphologically detailed astrocyte models that capture their complex and functionally relevant nanoscale architecture. The first tool in the CellRemorph toolkit enables precisely selecting nanoprocesses from polygonal surface meshes or surface point clouds, the second transforming polygonal surface meshes into surface point clouds and vice versa, and the third slicing morphologies into segments equal either in volume or surface area. The functionality of each tool was tested and evaluated with different astrocyte morphologies found in databases. We applied the toolkit in conjunction with NEURON (Carnevale & Hines, 2006) and ASTRO (Savtchenko et al., 2018) for building a morphologically detailed model of a Bergmann glial cell. The model consisted of a stem tree (Lippman et al., 2008) populated with nanoscopic processes (Grosche et al., 1999), enabling us to decipher the patterns of calcium signaling across the entire cell morphology. The utility of the tools extends beyond astroglial cells, and the toolkit may prove useful for constructing detailed models for other computationally less studied brain cell types, such as microglia and oligodendrocytes, as well.AcknowledgementsWe are very grateful to Prof. Helmut Kettenmann for providing us the video file of Bergmann glia appendage. The work was supported by the Research Council of Finland (Nos. 326494, 326495, 345280, 355256).