This content is Free Access.
Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
6,819 Views
•
08:59 min
•
October 28, 2018
DOI:
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
概要
Automatically generated
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.
Read Article
Cite this Article
Kriegel, F. L., Köhler, R., Bayat-Sarmadi, J., Bayerl, S., Hauser, A. E., Niesner, R., Luch, A., Cseresnyes, Z. Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps. J. Vis. Exp. (140), e58543, doi:10.3791/58543 (2018).
Copy