3D Lung Models for Regenerating Lung Tissue

Herausgeber: Westergren-Thorsson, Gunilla; Enes, Sara Rolandsson

• Broschiertes Buch

Produktbeschreibung

3D Lung Models for Regenerating Lung Tissue is a comprehensive summary on the current state of art 3D lung models and novel techniques that can be used to regenerate lung tissue. Written by experts in the field, readers can expect to learn more about 3D lung models, novel techniques including bioprinting and advanced imaging techniques, as well as important knowledge about the complexity of the lung and its extracellular matrix composition. Structured into 15 different chapters, the book spans from the original 2D cell culture model on plastic, to advanced 3D lung models such as using human extracellular matrix protein. In addition, the last chapters cover new techniques including 3D printing, bioprinting, and artificial intelligence that can be used to drive the field forward and some future perspectives. This highly topical book with chapters on everything from the complexity of the lung and its microenvironment to cutting-edge 3D lung models, represents an exciting body of work that can be used by researchers during study design, grant writing, as teaching material, or to stay updated with the progression of the field.

Produktdetails

• Verlag: Elsevier Science & Technology
• Seitenzahl: 260
• Erscheinungstermin: 12. August 2022
• Englisch
• Abmessung: 190mm x 241mm x 18mm
• Gewicht: 570g
• ISBN-13: 9780323908719
• ISBN-10: 0323908713
• Artikelnr.: 63248161

Inhaltsangabe

Part I: Standard 2D culture on plastic 1. 2D culture on plastic, past,
present, important findings and breakthroughs 2. The importance of
microenvironment (ECM, GAG)
Part II: 3D lung models 3. ALI model 4. Biofilms 5. Lung organoid models 6.
3D models Artificial material 7. 3D extracellular matrix models 8.
Lung-on-a-chip 9. Flow, Mechanical properties, and bioreactors   10.
Challenges with 3D models and Future directions  
Part III: New directions 11. 3D printing and bioprinting 12. Drug-screening
and high throughput in 3D lung models 13. Model validation 14. AI and
computational modelling 15. Conclusions