Appendix videos for PhD thesis: Characterisation of 3D networks and cell distributions in human lung tissue using correlative micro-CT and immunofluorescence

<p>Online repository of supplementary videos, detailed below, to compliment my PhD thesis.</p> <p><strong>A.7.1 Blood vessel segmentation with ITK-SNAP</strong></p> <p>Video showing the real time process of segmenting a blood vessel from &micro;CT lung data using ITK-SNAP.</p> <p><strong>A.7.2. Lung 1 summary video</strong></p> <p>Video summary of the &micro;CT data from method development tissue HL093 (Lung1) showing the 2D slices through the sectioned volume building into the 3D volume rendering. The segmentation of blood vessels (red) and Ck18 can also be seen in 2D and 3D.</p> <p><strong>A.7.3. Lung 2 summary video</strong></p> <p>Video summary of the &micro;CT data from method development tissue HL098 (Lung2) showing the 2D slices through the sectioned volume building into the 3D volume rendering. The segmentation of blood vessels (red) and Ck18 can also be seen in 2D and 3D.</p> <p><strong>A.7.4. Non-COPD-5 Blood vessel thickness-3D</strong></p> <p>A 360&deg; rotation of the 3D blood vessel thickness map of the Non-COPD-5 tissue seen in Figure 4.5.</p> <p><strong>A.7.5. COPD-4 Blood vessel thickness-3D</strong></p> <p>A 360&deg; rotation of the 3D blood vessel thickness map of the COPD-4 tissue seen in Figure 4.5.</p> <p><strong>A.7.6. COPD-4 Full segmentation of sectioned volume</strong></p> <p>A 360&deg; rotation of the full segmentation seen in Figure 5.18. The &micro;CT volume has been made semi-transparent to visualise the segmentation of blood vessels (red), Ck18 (blue), dilated AA1-mast cells (pink) and dilated CD68-macrophages (yellow).</p>