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This repository was archived by the owner on Feb 26, 2025. It is now read-only.
This repository was archived by the owner on Feb 26, 2025. It is now read-only.

Glial cell cross section representation #273

@eleftherioszisis

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@eleftherioszisis

Currently, node cross section is assumed to be a circle, which does not convey enough information in order to represent glial cells.

According to Dan it would be sufficient if we could add one more parameter in the value array for each node which will reflect the real perimeter of the cell which will be imported from the file. The area of the cross section can be represented by a circle with equivalent area.

To summarize an extended value list is required:

(x, y, z, radius, id, type, parent_id, real_perimeter)

where x,y,z is the center of the cross section, radius a value that provides the same area as in the cross section and real_perimeter the perimeter of the node's cross section which will be loaded from file. This extends the existent dataformat by one value.

Maybe we could have a glial cell class and dedicated features for glial cells in the features module. All features that apply on neurites and neurons can still be applied due to the same positional format.

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