Abstract
Microfluidics has demonstrated enormous potential through its role in recent advances in biological sciences. However, designing a new and customized microfluidic platform, gaining a better understanding of its function and the underlying physics still pose significant technical challenges. On the one hand, experimental approaches have been commonly used for the development of microfluidic devices since they are accurate and evidence-based methods. However, these approaches are expensive and laborious. Numerical approaches, on the other hand, are now recognized as a reliable complementary method to reducing cost, time, and effort and being relatively accurate. This paper systematically reviews the capability of numerical approaches in developing efficient microfluidic technologies for cell analysis. Moreover, this paper provides an initial insight for researchers who are interested in establishing numerical approaches for microfluidic cell analysis platforms.
Highlights
Microfluidics handles and analyzes fluids at the submillimeter scales
The present paper aims to fill the noticeable gap in introducing important parameters and processes that could be determined and simulated by time- and cost-saving numerical approaches in cellular microfluidic researches
Experimental approaches are expensive and laborious, concurrently, they are the most accurate and commonly used methods in order to explore the unknowns in cellular microfluidics
Summary
Microfluidics handles and analyzes fluids at the submillimeter scales. The technology allows for the implementation of diverse components ranging from power supply [1] to optical detection [2] on the same device. Microfluidic technology enables the implementation of advanced platforms such as micro-total-analysis systems [3], lab-on-a-chip [4], lab-on-a-disc [5], organ-on-a-chip (OOC) [6], or body-on-a-chip (BOC) [7] for research in life sciences. Some of the significant advantages of microfluidic devices, for biological research, are direct screening, better control of the fluid flow, low consumption of reagents, mimicking the in vivo cellular microenvironment and low sample requirement [8]. In addition to the life sciences, technical sciences play a crucial role in the development and progress of microfluidic.
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