Quantitative Evaluation of the Pore and Window Sizes of Tissue Engineering Scaffolds on Scanning Electron Microscope Images Using Deep Learning-Reference-Cited by-同舟云学术

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Quantitative Evaluation of the Pore and Window Sizes of Tissue Engineering Scaffolds on Scanning Electron Microscope Images Using Deep Learning

Published:2024-05-10 Issue:23 Volume:9 Page:24695-24706
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Karaca Ilayda¹,Aldemir Dikici Betül¹^ORCID

Affiliation:

1. Department of Bioengineering, Izmir Institute of Technology, Urla, Izmir 35433, Turkey

Funder

T?rkiye Bilimsel ve Teknolojik Arastirma Kurumu

Izmir Y?ksek Teknoloji Enstit?s?

T?rkiye Saglik Enstit?leri Baskanligi

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c01234

Reference66 articles.

1. Extracellular Matrix as Biomimetic Biomaterial: Biological Matrices for Tissue Regeneration

2. The effect of mean pore size on cell attachment, proliferation and migration in collagen–glycosaminoglycan scaffolds for bone tissue engineering

3. Characterisation of the surface structure of 3D printed scaffolds for cell infiltration and surgical suturing

4. Pore size directs bone marrow stromal cell fate and tissue regeneration in nanofibrous macroporous scaffolds by mediating vascularization

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1. Impact of internal phase volume on the physical, morphological and mechanical characteristics of emulsion templated scaffolds;The European Research Journal;2024-09-04

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