I have attached the pipeline I used for your reference. Could you please guide me on how to proceed further to achieve smoother grain boundaries in the model. Additional how many iterations of Laplacian smoothing would be required to get an effect result?
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Dear Mickael,
I attempted smoothing the grain boundaries using filters 4, 5, and 6 from the example pipeline, followed by a quick surface mesh and the Laplacian smoothing algorithm. However, the results were not satisfactory, as the staircasing effect persists.
To assist in addressing this issue, I have shared a Google Drive link containing the data I used along with my original pipeline for your reference:
https://drive.google.com/file/d/1H4ZQFA3LyZViWuWoThuif3sgF7bJk4tv/view?usp=sharing
Please let me know if you require any additional details or files. I truly appreciate your offer to explore a few ideas to help reduce the staircasing effect and improve the results.
Thank you for your support.
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The serial sectioning was performed by hand using the Multiprep polishing machine, removing a layer thickness of 0.5 microns. The data was then processed using batch processing in TSL OIM software before being exported as .ang files.
I am currently trying to develop a Python plugin to rotate the slices relative to each other to reduce the staircasing effect. Do you have any suggestions or best practices to minimize this issue? Would any filter help in smoothing the grain boundary? i have tried using 4, 5, and 6 from the example pipeline but they didn't really give any results, would increasing iterations give a better result?
Thanking You
Aarya
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