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Computer-Aided Tissue Engineering

Overview of attention for book
Cover of 'Computer-Aided Tissue Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Biomimetic Boundary-Based Scaffold Design for Tissue Engineering Applications
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    Chapter 2 Triply Periodic Minimal Surfaces (TPMS) for the Generation of Porous Architectures Using Stereolithography
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    Chapter 3 3D Printing of Functionally Graded Films by Controlling Process Parameters
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    Chapter 4 Photocurable Biopolymers for Coaxial Bioprinting
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    Chapter 5 Synthesis of an UV-Curable Divinyl-Fumarate Poly-ε-Caprolactone for Stereolithography Applications
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    Chapter 6 Nanocomposite Clay-Based Bioinks for Skeletal Tissue Engineering
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    Chapter 7 Additive Manufacturing Using Melt Extruded Thermoplastics for Tissue Engineering
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    Chapter 8 Computer-Aided Wet-Spinning
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    Chapter 9 Production of Scaffolds Using Melt Electrospinning Writing and Cell Seeding
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    Chapter 10 Low-Voltage Continuous Electrospinning: A Versatile Protocol for Patterning Nano- and Micro-Scaled Fibers for Cell Interface
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    Chapter 11 Direct-Write Deposition of Thermogels
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    Chapter 12 3D Bioprinting of Complex, Cell-laden Alginate Constructs
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    Chapter 13 Surface Tension-Assisted Additive Manufacturing of Tubular, Multicomponent Biomaterials
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    Chapter 14 Bioprinting of Complex Vascularized Tissues
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    Chapter 15 A Scaffold Free 3D Bioprinted Cartilage Model for In Vitro Toxicology
Attention for Chapter 5: Synthesis of an UV-Curable Divinyl-Fumarate Poly-ε-Caprolactone for Stereolithography Applications
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Chapter title
Synthesis of an UV-Curable Divinyl-Fumarate Poly-ε-Caprolactone for Stereolithography Applications
Chapter number 5
Book title
Computer-Aided Tissue Engineering
Published by
Humana, New York, NY, August 2020
DOI 10.1007/978-1-0716-0611-7_5
Pubmed ID
Book ISBNs
978-1-07-160610-0, 978-1-07-160611-7
Authors

Alfredo Ronca, Sara Ronca, Giuseppe Forte, Luigi Ambrosio, Ronca, Alfredo, Ronca, Sara, Forte, Giuseppe, Ambrosio, Luigi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 17%
Student > Bachelor 2 17%
Researcher 2 17%
Student > Master 1 8%
Professor 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Chemical Engineering 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Engineering 1 8%
Unknown 4 33%