/
/
Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
This content is Free Access.
1Department of Chemical and Product Safety,German Federal Institute for Risk Assessment (BfR), 2Deutsches Rheuma-Forschungszentrum (DRFZ) Berlin, a Leibniz Institute, 3Charité Universitätsmedizin Berlin, 4Applied Systems Biology,Leibniz Institute for Natural Product Research and Infection Biology Hans Knöll Institute
Chapters
- 00:04Title
- 01:11Reconstruct the 3D Image
- 03:13Transform the 3D Reconstructed Surfaces into 2D Projections
- 04:28Find the Periphery and Calculate the Fourier Components using Fiji
- 05:13Self-Organizing Maps
- 06:53Results: Robustness of SOM Mapping Approach
- 08:32Conclusion
Here, we provide a workflow that allows the identification of healthy and pathological cells based on their 3-dimensional shape. We describe the process of using 2D projection outlines based on the 3D surfaces to train a Self-Organizing Map that will provide objective clustering of the investigated cell populations.
