| Single-cell mechanophenotyping in microfluidics to evaluate behavior of U87 glioma cells E Sengul, M Elitas Micromachines 11 (9), 845, 2020 | 12 | 2020 |
| Quantifying heterogeneity according to deformation of the U937 monocytes and U937-differentiated macrophages using 3D carbon dielectrophoresis in microfluidics M Elitas, E Sengul Micromachines 11 (6), 576, 2020 | 9 | 2020 |
| Analysis of U87 glioma cells by dielectrophoresis E Sengul, P Sharbati, M Elitas, M Islam, JG Korvink Electrophoresis 43 (12), 1357-1365, 2022 | 7 | 2022 |
| Long-term migratory velocity measurements of single glioma cells using microfluidics E Sengul, M Elitas Analyst 146 (16), 5143-5149, 2021 | 3 | 2021 |
| Quantifying deformation and migration properties of U87 glioma cells using dielectrophoretic forces M Elitas, M Islam, JG Korvink, E Sengul, P Sharbati, B Ozogul, SV Kaymaz Biosensors 12 (11), 946, 2022 | 2 | 2022 |
| Optimization of U-Net: convolutional networks for U87 human glioblastoma cell line segmentation E Sengul, M Elitas Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 20-24, 2021 | 1 | 2021 |
| Single cell level dielectrophoretic responses & dielectrophoretic deformations of monocytes to quantify population heterogeneity E Sengul, O Kara, Y Yildizhan, R Martinez-Duarte, M Elitas 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 1 | 2020 |
| Dielectrophoretic Spectra of Glioma U87 Cells Using a Microfluidic Gold Electrode Array E Sengul, P Sharbati, M Islam, J Korvink, M Elitas | | 2024 |
Meltem ElitasAssociate Professor of Mechatronics, Sabanci UniversityVerified email at sabanciuniv.edu
