An optimized PDMS microfluidic device for ultra-fast and high-throughput imaging flow cytometry

Xun Liu, Jiehua Zhou, Ruopeng Yan, Tao Tang, Shubin Wei, Rubing Li, Dan Hou, Yueyun Weng, Du Wang, Hui Shen, Fuling Zhou, Yo Tanaka, Ming Li, Yoichiroh Hosokawa, Yaxiaer Yalikun*, Cheng Lei*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Imaging flow cytometry (IFC) is a powerful tool for cell detection and analysis due to its high throughput and compatibility in image acquisition. Optical time-stretch (OTS) imaging is considered as one of the most promising imaging techniques for IFC because it can realize cell imaging at a flow speed of around 60 m s−1. However, existing PDMS-based microchannels cannot function at flow velocities higher than 10 m s−1; thus the capability of OTS-based IFC is significantly limited. To overcome the velocity barrier for PDMS-based microchannels, we proposed an optimized design of PDMS-based microchannels with reduced hydraulic resistance and 3D hydrodynamic focusing capability, which can drive fluids at an ultra-high flow velocity (of up to 40 m s−1) by using common syringe pumps. To verify the feasibility of our design, we fabricated and installed the microchannel in an OTS IFC system. The experimental results first proved that the proposed microchannel can support a stable flow velocity of up to 40 m s−1 without any leakage or damage. Then, we demonstrated that the OTS IFC is capable of imaging cells at a velocity of up to 40 m s−1 with good quality. To the best of our knowledge, it is the first time that IFC has achieved such a high flow velocity just by using a PDMS-glass chip. Moreover, high velocity can enhance the focusing of cells on the optical focal plane, increasing the number of detected cells and the throughput. This work provides a promising solution for IFC to fully release its capability of advanced imaging techniques by operating at an extremely high screening throughput.

Original languageEnglish
Pages (from-to)3571-3580
Number of pages10
JournalLab on a Chip
Volume23
Issue number16
DOIs
Publication statusPublished - 21 Aug 2023

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