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2.8 CELL 3D MORPHOLOGY RECONSTRUCTION
2.8.1 PRINCIPLE OF RECONSTRUCTION
Enabled by out-of-plane rotation, a stack of cell contours can be imaged and reconstructed to form
3D morphology. e procedures for 3D reconstruction are as follows.
1. e out-of-plane rotation was recorded and converted into a sequence of frame images.
2. Mark feature points and extract frame images for one revolution.
3. reshold these frame images into binary ones to identify the cell outline from the
background.
4. Remove the background noise and extract the cell outline.
5. Use MATLAB to extract the cell contours of each frame and construct into matrix
(2D array).
6. Each image has its own unique angular oset in the 3D model; and the contour
points have their 3D coordinates. en, using MATLAB, transform the contour
points to matrix (3D array).
7. Interpolate the 3D array matrix and use the alpha-shape algorithm [171] to recon-
struct the 3D morphology of the cell.
Figure 2.37 shows an example of 3D reconstruction of a HeLa cell morphology (241 frames).
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Figure 2.37: 3D reconstruction of cell morphology.
2.8 CELL 3D MORPHOLOGY RECONSTRUCTION
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