Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
Browse
2 results
Search Results
Article Citation - WoS: 4Citation - Scopus: 4Surface Modification Via Alkali Treatment and Its Effect on the Physicochemical and Biological Properties of Emulsion Templated Scaffolds(Elsevier Sci Ltd, 2025) Kocagoz, Mehmet; Tihminlioglu, Funda; Dikici, Betul AldemirEmulsion templating is an advantageous scaffold fabrication technique that provides high interconnectivity, high porosity, and control of the scaffold architecture. Polymerised emulsions with an internal phase ratio greater than 74 % are named Polymerised High Internal Phase Emulsions (PolyHIPEs). Polycaprolactone (PCL) is a synthetic, biodegradable, and biocompatible polymer widely used in tissue engineering, but the material-cell interaction of PCL-based biomaterials has been found to be limited due to the material's high hydrophobicity. This study aims to develop emulsion-templated polycaprolactone tetramethacrylate (4PCLMA)-based scaffolds and improve their biological performance using an alkaline surface modification method. For this purpose, 4PCLMA was successfully synthesised, and highly porous scaffolds were developed. PolyHIPEs were incubated in three different sodium hydroxide (NaOH) concentrations for three different incubation times. Chemical, morphological, mechanical characterisation, mass loss, water absorption capacity, water contact angle, Brunauer-Emmett-Teller analyses and biological investigations were conducted on NaOH-treated scaffolds in comparison with the control. The chemical changes induced by NaOH treatment in PolyHIPEs were confirmed by Fourier-transform infrared spectroscopy. NaOH treatment increased the water absorption capacity, hydrophilicity, surface area, and protein adsorption but decreased the weight and mechanical strength of the scaffolds. In vitro results showed that NaOH treatment did not cause cytotoxicity in L929 cells and positively affected the cell adhesion and proliferation behaviour of Saos-2 cells. This study suggests surface modification of biodegradable synthetic polymer-based PolyHIPEs by NaOH treatment as a simple, scalable and cost-effective approach to enhance cell-material interactions of the material without causing a significant change in the overall morphology, contributing to the advancement of next-generation healthcare technologies.Article Citation - WoS: 11Citation - Scopus: 11Quantitative Evaluation of the Pore and Window Sizes of Tissue Engineering Scaffolds on Scanning Electron Microscope Images Using Deep Learning(Amer Chemical Soc, 2024) Karaca, Ilayda; Dikici, Betul AldemirThe morphological characteristics of tissue engineering scaffolds, such as pore and window diameters, are crucial, as they directly impact cell-material interactions, attachment, spreading, infiltration of the cells, degradation rate and the mechanical properties of the scaffolds. Scanning electron microscopy (SEM) is one of the most commonly used techniques for characterizing the microarchitecture of tissue engineering scaffolds due to its advantages, such as being easily accessible and having a short examination time. However, SEM images provide qualitative data that need to be manually measured using software such as ImageJ to quantify the morphological features of the scaffolds. As it is not practical to measure each pore/window in the SEM images as it requires extensive time and effort, only the number of pores/windows is measured and assumed to represent the whole sample, which may cause user bias. Additionally, depending on the number of samples and groups, a study may require measuring thousands of samples and the human error rate may increase. To overcome such problems, in this study, a deep learning model (Pore D2) was developed to quantify the morphological features (such as the pore size and window size) of the open-porous scaffolds automatically for the first time. The developed algorithm was tested on emulsion-templated scaffolds fabricated under different fabrication conditions, such as changing mixing speed, temperature, and surfactant concentration, which resulted in scaffolds with various morphologies. Along with the developed model, blind manual measurements were taken, and the results showed that the developed tool is capable of quantifying pore and window sizes with a high accuracy. Quantifying the morphological features of scaffolds fabricated under different circumstances and controlling these features enable us to engineer tissue engineering scaffolds precisely for specific applications. Pore D2, an open-source software, is available for everyone at the following link: https://github.com/ilaydakaraca/PoreD2.