Multiparameter cell-tracking intrinsic cytometry for single-cell characterization. Issue 10 (24th April 2018)

• Record Type: Journal Article
• Authors: Apichitsopa, N.; Jaffe, A.; Voldman, J.
• Is Part Of: Lab on a chip. Volume 18:Issue 10(2018)
• Page Start: 1430
• Page End: 1439
• Publication Date: 2018-04-24
• Subjects: Miniature electronic equipment -- Periodicals; Combinatorial chemistry -- Periodicals; Biotechnology -- Periodicals; 543.0813
• DOI: 10.1039/c8lc00240a
• Languages: English
• ISSNs: 1473-0197

Abstract

Abstract : We introduce a multiparameter intrinsic cytometry approach for single-cell characterization that combines ≥2 label-free measurement techniques onto the same platform. Abstract : An abundance of label-free microfluidic techniques for measuring cell intrinsic markers exists, yet these techniques are seldom combined because of integration complexity such as restricted physical space and incompatible modes of operation. We introduce a multiparameter intrinsic cytometry approach for the characterization of single cells that combines ≥2 label-free measurement techniques onto the same platform and uses cell tracking to associate the measured properties to cells. Our proof-of-concept implementation can measure up to five intrinsic properties including size, deformability, and polarizability at three frequencies. Each measurement module along with the integrated platform were validated and evaluated in the context of chemically induced changes in the actin cytoskeleton of cells. viSNE and machine learning classification were used to determine the orthogonality between and the contribution of the measured intrinsic markers for cell classification.