Multiparameter cell-tracking intrinsic cytometry for single-cell characterization
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c8lc00240a.pdf
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3.92 MB
Format
Adobe PDF
Checksum (MD5)
28ecfad1b463d7020f840929e0eeff51
Author(s)
Apichitsopa, Nicha
Jaffe, Alexander S.
Voldman, Joel
Date Issued
April 2018
Journal
Lab on a Chip
Publisher
Royal Society of Chemistry (RSC)
Citation
Apichitsopa, N., A. Jaffe, and J. Voldman. “Multiparameter Cell-Tracking Intrinsic Cytometry for Single-Cell Characterization.” Lab on a Chip 18, 10 (2018): 1430–1439 © 2018 Royal Society of Chemistry
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-NonCommercial 3.0 Unported
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1039/c8lc00240a
