Generative design of microfluidic channel geometry using evolutionary approach

Nikitin, Nikolay O.; Hvatov, Alexander; Polonskaia, Iana S.; Kalyuzhnaya, Anna V.; Grigorev, Georgii V.; Wang, Xiaohao; Xiang, Qing

doi:10.1145/3449726.3462740

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…The optimized geometry was found to increase the throughslit velocities by 49% [353]. AI applied to the microfluidics design problems remains to be one of the potential growth areas in the near future [354].…”

Section: Hydrodynamic Trappingmentioning

confidence: 97%

Advances in Microfluidics for Single Red Blood Cell Analysis

et al. 2023

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The utilizations of microfluidic chips for single RBC (red blood cell) studies have attracted great interests in recent years to filter, trap, analyze, and release single erythrocytes for various applications. Researchers in this field have highlighted the vast potential in developing micro devices for industrial and academia usages, including lab-on-a-chip and organ-on-a-chip systems. This article critically reviews the current state-of-the-art and recent advances of microfluidics for single RBC analyses, including integrated sensors and microfluidic platforms for microscopic/tomographic/spectroscopic single RBC analyses, trapping arrays (including bifurcating channels), dielectrophoretic and agglutination/aggregation studies, as well as clinical implications covering cancer, sepsis, prenatal, and Sickle Cell diseases. Microfluidics based RBC microarrays, sorting/counting and trapping techniques (including acoustic, dielectrophoretic, hydrodynamic, magnetic, and optical techniques) are also reviewed. Lastly, organs on chips, multi-organ chips, and drug discovery involving single RBC are described. The limitations and drawbacks of each technology are addressed and future prospects are discussed.

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Section: Hydrodynamic Trappingmentioning

confidence: 97%

Advances in Microfluidics for Single Red Blood Cell Analysis

et al. 2023

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Generative design of physical objects using modular framework

Starodubcev

Nikitin

Gavaza

et al. 2023

Engineering Applications of Artificial Intelligence

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Single Red Blood Cell Hydrodynamic Traps via the Generative Design

et al. 2022

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This paper describes a generative design methodology for a micro hydrodynamic single-RBC (red blood cell) trap for applications in microfluidics-based single-cell analysis. One key challenge in single-cell microfluidic traps is to achieve desired through-slit flowrates to trap cells under implicit constraints. In this work, the cell-trapping design with validation from experimental data has been developed by the generative design methodology with an evolutionary algorithm. L-shaped trapping slits have been generated iteratively for the optimal geometries to trap living-cells suspended in flow channels. Without using the generative design, the slits have low flow velocities incapable of trapping single cells. After a search with 30,000 solutions, the optimized geometry was found to increase the through-slit velocities by 49%. Fabricated and experimentally tested prototypes have achieved 4 out of 4 trapping efficiency of RBCs. This evolutionary algorithm and trapping design can be applied to cells of various sizes.

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Generative design of microfluidic channel geometry using evolutionary approach

Cited by 3 publications

References 4 publications

Advances in Microfluidics for Single Red Blood Cell Analysis

Advances in Microfluidics for Single Red Blood Cell Analysis

Generative design of physical objects using modular framework

Single Red Blood Cell Hydrodynamic Traps via the Generative Design

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