Large population cell characterization using quantitative phase cytometer

A major challenge in cellular analysis is the phenotypic characterization of large cell populations within a short period of time. Among various parameters for cell characterization, the cell dry mass is often used to describe cell size but is difficult to be measured directly with traditional techn...

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Bibliographic Details
Main Authors: Jin, Di (Contributor), Sung, Yongjin (Contributor), Lue, Niyom (Contributor), Kim, Yang-Hyo (Contributor), So, Peter T. C. (Contributor), Yaqoob, Zahid (Contributor)
Other Authors: Lincoln Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Laser Biomedical Research Center (Contributor)
Format: Article
Language:English
Published: Wiley, 2019-01-15T18:04:57Z.
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Summary:A major challenge in cellular analysis is the phenotypic characterization of large cell populations within a short period of time. Among various parameters for cell characterization, the cell dry mass is often used to describe cell size but is difficult to be measured directly with traditional techniques. Here, we propose an interferometric approach based on line-focused beam illumination for high-content precision dry mass measurements of adherent cells in a non-invasive fashion-we call it quantitative phase cytometry (QPC). Besides dry mass, abundant cellular morphological features such as projected area, sphericity, and phase skewness can be readily extracted from the QPC interferometric data. To validate the utility of our technique, we demonstrate characterizing a large population of ∼104HeLa cells. Our reported QPC system is envisioned as a promising quantitative tool for label-free characterization of a large cell count at single cell resolution. © 2017 International Society for Advancement of Cytometry.
National Institutes of Health (U.S.) (Grant 9P41EB015871-26A1)
National Institutes of Health (U.S.) (Grant 1R01HL121386-01A1)
Hamamatsu Corporation
Singapore-MIT Alliance for Research and Technology (SMART)