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Meltem Elitas

Researcher at Sabancı University

Publications -  58
Citations -  663

Meltem Elitas is an academic researcher from Sabancı University. The author has contributed to research in topics: Motion control & Glioma. The author has an hindex of 11, co-authored 52 publications receiving 513 citations. Previous affiliations of Meltem Elitas include Yale University & École Polytechnique Fédérale de Lausanne.

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Distribution system state estimation-A step towards smart grid

TL;DR: In this article, the authors present the state-of-the-art on DSSE as an enabler function for smart grid features, and broadly review the development of DSSE, challenges faced by its development, and various DSSE algorithms.
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Sliding Modes in Constrained Systems Control

TL;DR: A sliding-mode-based design framework for fully actuated mechanical multibody system that allows a unified mathematical treatment of task control in the presence of constraints required to be satisfied by the system coordinates is discussed.
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Dielectrophoresis-based purification of antibiotic-treated bacterial subpopulations

TL;DR: The method presented in this study could be used for rapid label-free enrichment of intact persister cells from antibiotic-treated cultures while preserving the metastable persister phenotype and would facilitate the downstream analysis of low-frequency subpopulations of cells using conventional omics techniques, such as transcriptomic and proteomic analysis.
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Dielectrophoretic separation of live and dead monocytes using 3D carbon-electrodes

TL;DR: This approach successfully removed the dead monocytes while preserving the viability of the live monocytes and will reduce the dead-cell contamination risk and achieve more reliable and accurate test results when blood analyses and disease diagnosis are performed with enriched, live monocyte populations.
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Microchip platforms for multiplex single-cell functional proteomics with applications to immunology and cancer research

TL;DR: This work discusses advances in single-cell proteomics platforms, with an emphasis on microchip methods, and examples of how those platforms are being applied to both fundamental biology and clinical studies, focusing on immune-system monitoring and phosphoprotein signaling networks in cancer.