Cell refractive index for cell biology and disease diagnosis : Past, present and future

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • P. Y. Liu
  • W. Ser
  • H. F. Chen
  • C. M. Hsieh
  • C. H. Lee
  • K. B. Sung
  • T. C. Ayi
  • P. H. Yap
  • B. Liedberg
  • K. Wang
  • T. Bourouina
  • Y. Leprince-Wang

Detail(s)

Original languageEnglish
Pages (from-to)634-644
Journal / PublicationLab on a Chip
Volume16
Issue number4
Publication statusPublished - 2016
Externally publishedYes

Abstract

Cell refractive index is a key biophysical parameter, which has been extensively studied. It is correlated with other cell biophysical properties including mechanical, electrical and optical properties, and not only represents the intracellular mass and concentration of a cell, but also provides important insight for various biological models. Measurement techniques developed earlier only measure the effective refractive index of a cell or a cell suspension, providing only limited information on cell refractive index and hence hindering its in-depth analysis and correlation. Recently, the emergence of microfluidic, photonic and imaging technologies has enabled the manipulation of a single cell and the 3D refractive index of a single cell down to sub-micron resolution, providing powerful tools to study cells based on refractive index. In this review, we provide an overview of cell refractive index models and measurement techniques including microfluidic chip-based techniques for the last 50 years, present the applications and significance of cell refractive index in cell biology, hematology, and pathology, and discuss future research trends in the field, including 3D imaging methods, integration with microfluidics and potential applications in new and breakthrough research areas.

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.

Citation Format(s)

Cell refractive index for cell biology and disease diagnosis: Past, present and future. / Liu, P. Y.; Chin, L. K.; Ser, W. et al.
In: Lab on a Chip, Vol. 16, No. 4, 2016, p. 634-644.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review