Ms. Sevim D. Yasar Profile

Sevim D. Yasar

at Izmir Biomedicine and Genome Ctr.

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Publications (2)

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Proceedings Article | 20 June 2024 Poster + Paper

Cell counting platform for life science applications

Meryem Beyza Avci, Fatma Kurul, S. Deniz Yasar, Arif Cetin

Proceedings Volume 13008, 130080R (2024) https://doi.org/10.1117/12.3025744

KEYWORDS: Optofluidics, Image processing, Cameras, Microfluidics, Life sciences, RGB color model, Optical resolution, Image resolution, Error analysis

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ell counting is essential in life sciences, medicine, and pharmacology. Traditional approaches such as hemocytometry, require manual counting cells under a microscope. Although hemocytometry is cost-effective, it is also time-consuming and limited by operator experience. To address the drawbacks mentioned above, automated cell counting technologies have been developed to enhance the accuracy and efficiency of cell counting applications through the capture and processing of cell images. However, a limitation of these technologies is that they rely on counting a relatively small number of cells (100-200), indicating a need for further improvement. Additionally, these devices require specialized equipment such as counting chambers and solutions that are compatible with their hardware settings. In this study, we have developed an optofluidic cell-counting device that addresses these problems. Our optofluidic cell-counting platform significantly enhances test accuracy by scanning more than 2000 cells. The proposed method has error rate of <1% for cell viability and <5% for cell concentration results. Platform could provide the count results within only 1 minute, including sample loading, autofocusing, image recording and processing. Presented platform also has a built-in fluidic component that eliminates the need for an external counting chamber, enabling completely automated sample loading and self-cleaning capabilities compatible with any cleaning solutions. Providing a user-friendly and efficient functionality, our optofluidic platform has the potential to be a crucial resource for cost-effective and precise cell-counting applications

Proceedings Article | 18 June 2024 Presentation

Advancing cellular analyses through a fully automated imaging-based liquid handling platform

Meryem Avci, Sevim Yasar, Arif Cetin

Proceedings Volume 12998, 1299803 (2024) https://doi.org/10.1117/12.3022957

KEYWORDS: Liquids, Imaging systems, Biological research, Profiling, Microbiology, Interfaces, Image processing, Humidity, Drug development, Cultural studies

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Our talk introduces a fully automated imaging-based liquid processing platform to revolutionize traditional pipetting in cell culture studies. This system minimizes operational errors by automating processes, significantly enhancing efficiency. With expedited liquid handling and cell imaging capabilities, it maps cellular information. The platform comprises key modules, including Motion, Pipetting, Imaging, and Software, providing precise XYZ axis movement, fluid transfer, cell imaging, and algorithm-driven post-processing and hardware control. Utilizing a CNC-based Motion Module, the platform navigates well-plates precisely based on g-coding. The Imaging Module displays cells, while the Pipetting Module ensures efficient solution handling. System software, coordinating processes, capturing and processes data, guides investigations into cellular pathways and therapeutic profiling. The platform incorporates an incubator with customizable settings, maintaining optimal conditions for cellular analyses. This comprehensive system signifies a significant leap in laboratory technology, promising heightened precision, efficiency, and adaptability for advancing cellular research.

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