旭硝子財団助成研究成果報告2022
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yrammuS 要概85Juthamas RATANAVARAPORN86Sirichai LEELACHAO87Sira SRIWASDIDevelopment of Thai silk fibroin-based bioink for 3D bioprinting application of tissue engineered construct(Project 2020)Oxidation behavior of Zr-modified nickel aluminides via pack-cementation aluminization using ZrO2 powder(Project 2020)Label-Free Identification and Classification of Circulating Tumor Cells using Deep Learning and High-Content Imaging(Project 2020)67Rep. Grant. Res., Asahi Glass Foundation (2022)Three-dimensional (3D) printing is regarded as a critical technology in material engineering for biomedical applications. From a previous report, silk fibroin (SF) has been used as a biomaterial for tissue engineering due to its biocompatibility, biodegradability, non-toxicity and robust mechanical properties which provide a potential as material for 3D-printing. In this study, SF-based hydrogels with different formulations and SF concentrations (1–3%wt) were prepared by natural gelation (SF/self-gelled) and sodium tetradecyl sulfate-induced (SF/STS). From the results, 2%wt SF-based (2SF) hydrogels showed suitable properties for extrusion, such as storage modulus, shear-thinning behavior and degree of structure recovery. The 4-layer box structure of all 2SF-based hydrogel formulations could be printed without structural collapse. In addition, the mechanical stability of printed structures after three-step post-treatment was investigated. The printed structure of 2SF/STS hydrogel exhibited high stability with high degree of structure recovery as 70.4% compared to 2SF/self-gelled construct as 38.9%. The 2SF/STS hydrogel showed a great potential to use as material for 3D-printing due to its rheological properties, printability and structure stability.This study aims to investigate the effect of ZrO2 on phase evolution and oxidation behavior of the aluminized Ni substrate via pack aluminization at 1,000°C for 6.25 h where the process contained different contents ZrO2 powder. The aluminized specimens were cyclically oxidized at 1,000°C with rapid cooling and heating. A scanning electron microscope (SEM) equipped with energy-dispersive X-ray spectroscopy (EDS) and an X-ray diffractometer (XRD) were utilized for phase identification. The coatings consisted of β-NiAl, γ’-Ni3Al and Al-dissolved γ-Ni where thicknesses decreased with increasing ZrO2 contents. A reaction between Al and ZrO2 was suggested for an absence of δ-Ni2Al3. The reduced Zr was incorporated as intermetallics. While the specimen with moderate ZrO2 content showed parabolic oxidation kinetics, a multiple linear kinetics along with a high-exponent power-law oxidation were observed in other doping conditions. A modification of the thermodynamic Al activity can be achieved using less-stable oxides in pack aluminization. Zr could promote the stable α-Al2O3 scale even for a lower Al concentration of aluminides.Circulating tumor cells (CTC) are shed from primary tumor into the patient’s bloodstream and can initiate metastasis in other parts of the body. Existing methods for detecting CTC rely on size filtering and specific cell surface markers which are biased toward certain cancer and cell types. Recent advances in deep learning have shown that artificial neural network models can be trained to accurately classify cell types and distinguish various cell compartments in unlabeled bright-field microscopy images. Several studies have successfully applied this technique to differentiate between spiked-in cancer cells and normal blood cells in

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