Detection of Endothelial Cells in 3D Angiogenic Sprouts from Phase Contrast Images
نویسندگان
چکیده
Phase contrast microscopy is a widely-used technique to observe multi-cellular processes. Two template matching based approaches are proposed to automatically segment cells migrating in 3D Extracellular Matrix (ECM) from phase contrast images. The first approach is based on Partial Least Square Regression (PLSR), while the second applies Principal Component Analysis (PCA) and Support Vector Machine (SVM). These two techniques are applied to phase contrast images of endothelial cells from angiogenic sprouting experiments in microfluidic devices. A more accurate numerical result is obtained using PLSR as oppose to PCA & SVM for cell detection. Automatic cell detection will aid in the understanding of cell migration in 3D environment and in turn result in a better understanding of angiogenesis.
منابع مشابه
Automatic detection of endothelial cells in 3D angiogenic sprouts from experimental phase contrast images
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