Active cell capturing for organ-on-a-chip systems: a review

Bayareh, Morteza

doi:10.1515/bmt-2022-0232

Cited by 6 publications

(3 citation statements)

References 143 publications

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“…[5] 0.5-2 mm/s A The separation of microparticles/cells is another application of microfluidic devices [19,20]. Like micromixers, these devices work based on passive and active techniques.…”

Section: Ref V or Re P/a Geometrymentioning

confidence: 99%

Micromixing and microparticle separation: A review

2023

Proceeding Book of 1st International Conference on Recent and Innovative Results in Engineering and Technology Icriret 2023

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This review paper presents an overview of micromixing and the separation of microparticles using active and passive approaches. Various techniques are introduced and their main characteristics are compared. This paper reveals that hybrid and active methods can provide higher performance for microfluidic devices; however, passive approaches employ simpler structures. The type of microfluidic devices, their geometry, and the range of Reynolds number (Re) are compared for active and passive devices. Hybrid methods can be utilized to improve the mixing index of micromixers. It can be concluded that the separation of microparticles/cells is based on their size, deformability, density, inlet flow rate, strength of external forces, etc.

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Section: Ref V or Re P/a Geometrymentioning

confidence: 99%

Micromixing and microparticle separation: A review

2023

Proceeding Book of 1st International Conference on Recent and Innovative Results in Engineering and Technology Icriret 2023

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“…By utilizing DEP, cells can be selectively trapped and positioned based on their dielectric properties, size, and shape. Furthermore, the DEP approach can aid in the development of organ-on-a-chip models by allowing the assembly of multiple cell types in spatially organized microenvironments, mimicking the native tissue architecture [ 15 ]. Overall, the DEP-based trapping of single cells in microscopic wells has the potential to improve various aspects of biological research and contribute to the advancement of precision medicine and regenerative therapies.…”

Section: Introductionmentioning

confidence: 99%

Electrokinetic Manipulation of Biological Cells towards Biotechnology Applications

Yan,

Rajestari,

Morse

et al. 2024

Micromachines

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The presented study demonstrates the capability of the template-based electrokinetic assembly (TEA) and guidance to manipulate and capture individual biological cells within a microfluidic platform. Specifically, dielectrophoretic (DEP) focusing of K-562 cells towards lithographically-defined “wells” on the microelectrodes and positioning singles cells withing these “wells” was demonstrated. K-562 lymphoblast cells, are widely used in immunology research. The DEP guidance, particularly involving positive DEP (pDEP), enables the controlled guidance and positioning of conductive and dielectric particles, including biological cells, opening new directions for the accurate and efficient microassembly of biological entities, which is crucial for single cell analysis and other applications in biotechnology. The investigation explores the use of glassy carbon and gold as electrode materials. It was established previously that undiluted physiological buffer is unsuitable for inducing positive DEP (pDEP); therefore, the change of media into a lower ionic concentration is necessary. After pDEP was observed, the cells are resubmerged in the Iscove’s modified Dulbecco’s medium (IMEM), a cell culturing media, and incubated. A dead/alive staining assay was performed on the cells to determine their survival in the diluted buffer for the period required to capture them. The staining assay confirmed the cells’ survival after being immersed in the diluted biological buffer necessary for electrokinetic handling. The results indicate the promise of the proposed electrokinetic bio-sorting technology for applications in tissue engineering, lab-on-a-chip devices, and organ-on-a-chip models, as well as contributing to the advancement of single cell analysis.

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“…By distinguishing between different types of RBCs, healthcare professionals can better understand disease progression, assess the severity of conditions, and tailor treatment strategies accordingly. A more general overview of the techniques and importance of capturing cells of different elasticity can be found in [12,13].…”

Section: Introductionmentioning

confidence: 99%

Classification of Red Blood Cells Using Time-Distributed Convolutional Neural Networks from Simulated Videos

et al. 2023

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The elasticity of red blood cells (RBCs) plays a vital role in their efficient movement through blood vessels, facilitating the transportation of oxygen within the bloodstream. However, various diseases significantly impact RBC elasticity, making it an important parameter for diagnosing and monitoring health conditions. In this study, we propose a novel approach to determine RBC elasticity by analyzing video recordings and using a convolutional neural network (CNN) for classification. Due to the scarcity of available blood flow recordings, computer simulations based on a numerical model are employed to generate a substantial amount of training data. The simulation model incorporates the representation of RBCs as elastic objects within a fluid flow, allowing for a detailed understanding of their behavior. We compare the performance of different CNN architectures, including ResNet and EfficientNet, for video classification of RBC elasticity. Our results demonstrate the potential of using CNNs and simulation-based data for the accurate classification of RBC elasticity.

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Active cell capturing for organ-on-a-chip systems: a review

Cited by 6 publications

References 143 publications

Micromixing and microparticle separation: A review

Micromixing and microparticle separation: A review

Electrokinetic Manipulation of Biological Cells towards Biotechnology Applications

Classification of Red Blood Cells Using Time-Distributed Convolutional Neural Networks from Simulated Videos

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