Browsing by Author "Kurul, F."

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    Article
    Automated Smartphone Based Cell Analysis Platform
    (Springer Nature, 2025) Avci, M.B.; Kurul, F.; Turkan, M.; Çetin, A.E.
    Cell analysis technologies play a critical role in biomedical research, enabling precise evaluation of essential parameters such as cell viability, density, and confluency. In this article, we introduce Quantella, a smartphone-based platform designed to perform comprehensive cell analysis encompassing these key metrics. Addressing limitations of conventional systems, such as high cost, hardware complexity, and limited adaptability, Quantella integrates low-cost optics, a rinsable flow cell, bluetooth-enabled hardware control, and a cloud-connected mobile application. Its adaptive image-processing pipeline employs multi-exposure fusion, thresholding, and morphological filtering for accurate, morphology-independent segmentation without requiring deep learning or user-defined parameters. System validation studies across diverse cell types showed deviations under 5% from flow cytometry. With the capacity to analyze over 10,000 cells per test, Quantella delivers high-throughput, reproducible results. Its accessible, scalable design makes it a promising tool for biomedical research, diagnostics, and education, particularly in resource-limited settings. © The Author(s) 2025.
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    Portable Optofluidic Device for Dynamic Binding Analysis in Field-Settings
    (SPIE, 2024) Kurul, F.; Avci, M.B.; Yaman, S.; Topkaya, S.N.; Cetin, A.E.
    Compact and portable biosensing technologies play an important role in replacing traditional counterparts that require costly and heavy equipment, as well as complex infrastructure. The integration of these easy-to-use and cheap devices allows for the conducting of biosensing analyses in resource-limited settings. The study produced a portable optofluidic platform that is lightweight (260 g) and compact (16 cm×10 cm×11 cm). It combines subwavelength nanohole arrays, microfluidics technology, and on-chip computational imaging. It records plasmonic diffraction field images with a CMOS imager and an LED light, allowing for a large field of view for refractive index measurement. This LED source generates diffraction patterns on the imager. The microfluidic pump confirms accurate analyte delivery, allowing real-time analysis of diffraction field images to reveal time-dependent binding kinetics of biomolecules. It identifies biomolecular interactions without labelling, allowing for the detection and quantification of biomolecules. Our platform has an outstanding limit-of-detection (LOD) of 5ng/mL for label-free detection of protein IgG. We effectively determined the association and dissociation constants for protein A/G and IgG binding using real-time diffraction field images. The optofluidic biosensor platform is ideal for surface plasmon resonance (SPR) in field applications. It can monitor interactions in real-time, making it useful for studying the way various biological and chemical compounds bind in many areas. © 2024 SPIE.