A low-cost, label-free microfluidic scanning flow cytometer for high-accuracy quantification of size and refractive index of particles. Issue 8 (10th March 2023)

• Record Type: Journal Article
• Authors: Reale, Riccardo; Peruzzi, Giovanna; Ghoreishi, Maryamsadat; Stabile, Helena; Ruocco, Giancarlo; Leonetti, Marco
• Is Part Of: Lab on a chip. Volume 23:Issue 8(2023)
• Page Start: 2039
• Page End: 2047
• Publication Date: 2023-03-10
• Subjects: Miniature electronic equipment -- Periodicals; Combinatorial chemistry -- Periodicals; Biotechnology -- Periodicals; 543.0813
• DOI: 10.1039/d2lc01179d
• Languages: English
• ISSNs: 1473-0197

Abstract

Abstract : A microfluidic scanning flow cytometer, enabling measurement of angle-resolved scattered light for high performance single-cell/particle analysis. Abstract : Flow cytometers and fluorescence activated cells sorters (FCM/FACS) represent the gold standard for high-throughput single-cell analysis, but their usefulness for label-free applications is limited by the unreliability of forward and side scatter measurements. Scanning flow cytometers represent an appealing alternative, as they exploit measurements of the angle-resolved scattered light to provide accurate and quantitative estimates of cellular properties, but the requirements of current setups are unsuitable for integration with other lab-on-chip technologies or for point-of-care applications. Here we present the first microfluidic scanning flow cytometer (μSFC), able to achieve accurate angle-resolved scattering measurements within a standard polydimethylsiloxane microfluidic chip. The system exploits a low cost linearly variable optical density (OD) filter to reduce the dynamic range of the signal and to increase its signal-to-noise ratio. We present a performance comparison between the μSFC and commercial machines for the label free characterization of polymeric beads with different diameters and refractive indices. In contrast to FCM and FACS, the μSFC yields size estimates linearly correlated with nominal particle sizes ( R 2 = 0.99) and quantitative estimates of particle refractive indices. The feasibility of using the μSFC for the characterization of biological samples is demonstrated by analyzing a population of monocytes identified based on the morphology of a peripheral blood mononuclear cells sample, which yields values in agreement with the literature. The proposed μSFC combines low setup requirements with high performance, and has great potential for integration within other lab-on-chip systems for multi-parametric cell analysis and for next-generation point-of-care diagnostic applications.