ArticleScientific reports2021
Cell properties assessment using optimized dielectrophoresis-based cell stretching and lumped mechanical modeling.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Machine Learning-Based Detection ofPathogens (Basel, Switzerland) · 2026Article
- Dielectrophoretic Assembly of Customized Colloidal Trimers.ACS nanoscience Au · 2025Article
- Analysis of Cell Dielectrophoretic Properties Using Isomotive Creek-Gap Electrode Device.Sensors (Basel, Switzerland) · 2024Article
- Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis.Sensors (Basel, Switzerland) · 2024Review
- Bio-inspired microfluidics: A review.Biomicrofluidics · 2023Review
- Image-based cell sorting using focused travelling surface acoustic waves.Lab on a chip · 2023Article
- Controlled Transport of Individual Microparticles Using Dielectrophoresis.Langmuir : the ACS journal of surfaces and colloids · 2023Article
- 3D numerical simulation of acoustophoretic motion induced by boundary-driven acoustic streaming in standing surface acoustic wave microfluidics.Scientific reports · 2021Article
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Authors and funding
4 authors.
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Abstract
Cells mechanical property assessment has been a promising label-free method for cell differentiation. Several methods have been proposed for single-cell mechanical properties analysis. Dielectrophoresis (DEP) is one method used for single-cell mechanical property assessment, cell separation, and sorting. DEP method has overcome weaknesses of other techniques, including compatibility with microfluidics, high throughput assessment, and high accuracy. However, due to the lack of a general and explicit model for this method, it has not been known as an ideal cell mechanical property evaluation method. Here we present an explicit model using the most general electromagnetic equation (Maxwell Stress Tensor) for single-cell mechanical evaluation based on the DEP method. For proof of concept, we used the proposed model for differentiation between three different types of cells, namely erythrocytes, peripheral blood mononuclear cells (PBMC), and an epithelial breast cancer cells line (T-47D). The results show that, by a lumped parameter that depends on cells' mechanical and electrical properties, the proposed model can successfully distinguish between the mentioned cell types that can be in a single blood sample. The proposed model would open up the chance to use a mechanical assessment method for cell searching in parallel with other methods.
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