journal article·2025-05-20Open access

Experimental Study on Multi-Cell Counting Using an Inertial Microfluidic Device

Muhammad Zulfiqar, Danish Manshad, Emad Uddin, Aamir Mubashar, Zaib Ali, Muhammad Irfan, Sibghat Ullah, Jingmin Li

Applied Sciences· Volume 15· Issue 10

Abstract

Inertial microfluidics has gained significant attention for cell counting applications due to its simplicity, high throughput, and precision. This study utilized an inertial flow microfluidic device to count blood cell-sized microparticles, simulating normal and diseased conditions. The device could focus on and count cells sized between 7 µm and 16 µm while being observed under optical microscopes, with controlled flow rates from 1 to 15 µL/min. Suspensions of cells with ratios of 600:1 for normal conditions and 400:1 for diseased conditions were studied in microchannels at different flow rates. The methodology for counting involved using a syringe pump for precise flow actuation and employing an image-based particle counting technique through optical microscopy, utilizing the passive technique of inertial microfluidics. Results were compared using two optical microscopes across both suspension types. The key findings showed that at a 600:1 ratio of 8 µm and 15 µm cells, counts of 6.45 × 107 cells/mL and 1.10 × 107 cells/mL, respectively, while in the 400:1 ratio of both cells, counts of 4.5 × 107 cells/mL and 2.16 × 107 cells/mL, respectively, were achieved at optimal parameters. This study employed an inertial flow microfluidic device to count microparticles the size of blood cells. We assessed the counting performance using optical microscopy at two different cell ratios and validated our results against hemocytometer counts. Our findings demonstrate that the channel size 150 µm and the flow rate at 1 µL/min provided the optimal counting accuracy for both particle sizes. This device offers an efficient and adaptable solution for accurate multi-cell counting under optimized conditions and supporting applications in resource-limited medical diagnostics.
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Research context

OpenAlex topics: Innovative Microfluidic and Catalytic Techniques Innovation · 3D Printing in Biomedical Research · Cell Image Analysis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, School of Mechanical and Manufacturing Engineering (SMME), National University of Science and Technology (NUST), H-12, Islamabad 44000, Pakistan

Department of Mechanical Engineering, Capital University of Science and Technology (CUST), Islamabad 46000, Pakistan

Department of Mechanical Engineering, University of Management and Technology (UMT), Sialkot 51310, Pakistan

School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China

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