Interferometric time-stretch microscopy for ultrafast quantitative cellular and tissue imaging at 1 μ m

Andy K. S. Lau, Terence T. W. Wong, Kenneth K. Y. Ho, Matthew T. H. Tang, Antony C. S. Chan, Xiaoming Wei, Edmund Y. Lam, Ho Cheung Shum, Kenneth K. Y. Wong, Kevin K. Tsia

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

75 Citations (Scopus)

Abstract

Quantitative phase imaging (QPI) has been proven to be a powerful tool for label-free characterization of biological specimens. However, the imaging speed, largely limited by the image sensor technology, impedes its utility in applications where high-throughput screening and efficient big-data analysis are mandated. We here demonstrate interferometric time-stretch (iTS) microscopy for delivering ultrafast quantitative phase cellular and tissue imaging at an imaging line-scan rate 20 MHz-orders-of-magnitude faster than conventional QPI. Enabling an efficient time-stretch operation in the 1-μm wavelength window, we present an iTS microscope system for practical ultrafast QPI of fixed cells and tissue sections, as well as ultrafast flowing cells (at a flow speed of up to 8 m/s). To the best of our knowledge, this is the first time that time-stretch imaging could reveal quantitative morphological information of cells and tissues with nanometer precision. As many parameters can be further extracted from the phase and can serve as the intrinsic biomarkers for disease diagnosis, iTS microscopy could find its niche in high-throughput and high-content cellular assays (e.g., imaging flow cytometry) as well as tissue refractometric imaging (e.g., whole-slide imaging for digital pathology). © 2014 Society of Photo-Optical Instrumentation Engineers.
Original languageEnglish
Article number076001
JournalJournal of Biomedical Optics
Volume19
Issue number7
DOIs
Publication statusPublished - Jul 2014
Externally publishedYes

Bibliographical 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 [email protected].

Funding

We thank Hilary K. Y. Mak for preparing the MIHA and HeLa cell lines for us. This work was partially supported by grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKU 7172/12E, HKU 717510E, HKU 717911E, HKU 720112E) and University Development Fund of HKU.

Research Keywords

  • biophotonics
  • cell imaging
  • high throughput.
  • high-speed microfluidic
  • imaging flow cytometry
  • time-stretch imaging
  • ultrafast frame rate

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