Multi-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution

Kelvin C. M. Lee, Andy K. S. Lau, Anson H. L. Tang, Maolin Wang, Aaron T. Y. Mok, Bob M. F. Chung, Wenwei Yan, Ho C. Shum, Kathryn S. E. Cheah, Godfrey C. F. Chan, Hayden K. H. So, Kenneth K. Y. Wong, Kevin K. Tsia*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

41 Citations (Scopus)
4 Downloads (CityUHK Scholars)

Abstract

A growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost-effective and label-free cellular assays, which provides useful insights into understanding the biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single-cell precision to define cell identities in a large and heterogeneous population of cells—hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multiplexed asymmetric-detection time-stretch optical microscopy (multi-ATOM) that captures and processes quantitative label-free single-cell images at ultrahigh throughput without compromising subcellular resolution. We show that multi-ATOM, based upon ultrafast phase-gradient encoding, outperforms state-of-the-art QPI in permitting robust phase retrieval at a QPI throughput of >10 000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi-ATOM for large-scale, label-free, multivariate, cell-type classification (e.g. breast cancer subtypes, and leukemic cells vs peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi-ATOM could empower new strategies in large-scale biophysical single-cell analysis with applications in biology and enriching disease diagnostics. © 2019 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Original languageEnglish
Article numbere201800479
JournalJournal of Biophotonics
Volume12
Issue number7
Online published4 Feb 2019
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes

Funding

Innovation and Technology Support Programme, Grant/Award Numbers: ITS/090/14, GHP/024/16GD; Research Grants Council of the Hong Kong Special Administrative Region of China, Grant/Award Numbers: HKU 17207715, 17207714, HKU 720112E, HKU 719813E, T12-708/12-N, C7047-16G; University Development Funds of the University of Hong Kong

Research Keywords

  • microfluidics
  • quantitative phase imaging
  • single-cell imaging
  • ultrafast imaging

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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