Dear Jack,
thank you for the additional information. I think changing the ball-stick model is not the only way to achieve what you want to investigate.
However, I put it on the list of feature requests, so the product management team can decide whether to implement this.
Identify Pores provides even more information besides the additional files available in the Pore Visualization tab of the Result Viewer.
In the Results -> Map subtab, all computed information can be found.
Under Derived Results > Center, you can find the center coordinates of all fitted objects. These center points are also used to create the ball-stick model. The position of the coordinates in each vector matches the index number of the pore in the Index Image (*.g32 file).
Together with Coordination Numbers you can identify which are the unconnected pores.
You can then calculate the distances, e.g., using Python scripts.

Let me know if you have additional questions!
Best regards
Anne
thank you for the additional information. I think changing the ball-stick model is not the only way to achieve what you want to investigate.
However, I put it on the list of feature requests, so the product management team can decide whether to implement this.
Identify Pores provides even more information besides the additional files available in the Pore Visualization tab of the Result Viewer.
In the Results -> Map subtab, all computed information can be found.
Under Derived Results > Center, you can find the center coordinates of all fitted objects. These center points are also used to create the ball-stick model. The position of the coordinates in each vector matches the index number of the pore in the Index Image (*.g32 file).
Together with Coordination Numbers you can identify which are the unconnected pores.
You can then calculate the distances, e.g., using Python scripts.
Let me know if you have additional questions!
Best regards
Anne
