A5013667147- Nanoparticle-Based Drug Delivery
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Characterization and Applications of Magnetic Nanoparticles
- Pickering emulsions and particle stabilization
- Fire Detection and Safety Systems
- Biosensors and Analytical Detection
- AI in cancer detection
- Nanomaterials for catalytic reactions
- Sleep and related disorders
- IoT Networks and Protocols
- IoT-based Smart Home Systems
- Iron oxide chemistry and applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced Polymer Synthesis and Characterization
Manisa Celal Bayar University
2024-2025
Bilkent University
2020-2024
University of California, Los Angeles
2024
In this research, a multi-step microfluidic reactor was used to fabricate chitosan - superparamagnetic iron oxide composite nanoparticles (Ch SPIONs), where formation using aimed provide antibacterial property and nanoparticle stability for magnetic resonance imaging (MRI). Monodispersed Ch SPIONs had an average particle size of 8.8 ± 1.2 nm with magnetization value 32.0 emu/g. could be as MRI contrast agent by shortening T2 relaxation parameter the surrounding environment, measured on 3 T...
Magnetomicelles were produced by the self-assembly of magnetite iron oxide nanoflowers and amphiphilic poly(styrene)-b-poly(acrylic acid) block copolymer to deliver a multifunctional theranostic agent. Their bioprocessing cancer cells was investigated in three-dimensional spheroid model over 13-day period compared with nonencapsulated magnetic nanoflowers. A degradation process identified monitored at various scales, exploiting different physicochemical fingerprints. At collective level,...
Magnetic nanoparticles have been extensively explored as theranostic agents both in academic and clinical settings. Their self-assembly into nanohybrids using block copolymers can lead to new nanostructures with high functionalities performances. Herein, we demonstrate a high-throughput scalable method elaborate magnetic micelles by the assembly of iron oxide magnetite nanoflowers, an efficient nanoheater, copolymer Poly(styrene)-block-poly(acrylic acid) via microfluidic-assisted...
Magnetic nanoparticles have been extensively explored as theranostic agents both in academic and clinical settings. Their self-assembly into nanohybrids using block copolymers can lead to new nanostructures with high functionalities performances. Herein, we demonstrate a high-throughput scalable method elaborate magnetic micelles by the assembly of iron oxide magnetite nanoflowers, an efficient nanoheaters, copolymer Poly(styrene)−block−poly(acrylic acid) via microfluidic-assisted...
Fever is one of the main symptoms various illnesses during infancy and it requires continuous supervision especially above 38 degree Celsius as fatal complications may develop. With emerging IoT e-Health technologies, a variety different consumer products are being developed to facilitate fever monitoring for parents. In this study, our aim develop prototype that will continuously track body temperature an infant using RGB thermal camera, provide notification capabilities users. The product...
Motivation: High-resolution (HR) DWI, although beneficial for prostate tissue characterization and cancer diagnosis, suffers from low signal-to-noise ratio (SNR). The common strategy of averaging to increase SNR prolongs the acquisition time (TA). Goal(s): Decreasing number repetitions while maintaining HR DWI. Approach: Eddy Current-Nulled Convex Optimized Diffusion Encoding (ENCODE) combined with random matrix theory (RMT)-based denoising reduce SNR. Results: HR-ENCODE-RMT (TA=2 min 30...
Multi-shell dMRI metrics quantify information on micro-properties of neural tissue and can be used as markers for neurological diseases. The protocols to acquire data often have prolonged acquisition times. In this work, we propose different undersampling strategies that reduce the time half, evaluate how performances multi-shell change under these strategies. results show that, while best performing strategy changes each metric, 3-shell gradient schemes with small variance b-vector density...
Multi-shell diffusion magnetic resonance imaging (dMRI) is a medical method that provides information about the properties of neural microstructure by measuring movement water molecules. It allows resolving orientations complex fibers via spherical sampling q-space extensively and in many directions. From these measurements, various metrics carry especially white matter brain can be computed, used as indicators for diagnosis several neurological diseases. The sheer number measurements taken...