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Fatih Inci

Researcher at Bilkent University

Publications -  89
Citations -  4529

Fatih Inci is an academic researcher from Bilkent University. The author has contributed to research in topics: Medicine & Engineering. The author has an hindex of 33, co-authored 73 publications receiving 3515 citations. Previous affiliations of Fatih Inci include Istanbul Technical University & Harvard University.

Papers
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Photonic crystals: Emerging biosensors and their promise for point-of-care applications

TL;DR: A broad overview of PCs is provided by explaining their structures, fabrication techniques, and sensing principles, and recent applications of PC-based biosensors incorporated with emerging technologies, including telemedicine, flexible and wearable sensing, smart materials and metamaterials.
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Advances in Plasmonic Technologies for Point of Care Applications

TL;DR: This work reviewed SPR, localized surface plasmon resonance (LSPR), and large-scale plAsmonic arrays, an enabling optical technology with applications in disease monitoring, diagnostics, homeland security, food safety, and biological imaging applications.

Advances in Plasmonic Technologies for Point of Care Applications

TL;DR: In this article, the authors present a review of the plasmonic-based platforms for point-of-care (POC) diagnostics, bedside testing, and community-based approaches to respond to these challenges.
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Towards artificial tissue models: past, present, and future of 3D bioprinting.

TL;DR: Bioprinting technology has emerged as a promising 3D biomanufacturing technology, enabling precise control over spatial and temporal distribution of cells and ECM, and has potential to create artificial functional constructs for drug screening and toxicology research, as well as tissue and organ transplantation.
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An integrated double-filtration microfluidic device for isolation, enrichment and quantification of urinary extracellular vesicles for detection of bladder cancer

TL;DR: An integrated double-filtration microfluidic device that isolated and enriched EVs with a size range of 30–200 nm from urine and subsequently quantified the EVs via a microchip ELISA has great potential to be used in conjunction with urine cytology and cystoscopy to improve clinical diagnosis of bladder cancer in clinics and at point-of-care (POC) settings.