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Journal of Biomedical Optics

Interferometric time-stretch microscopy for ultrafast quantitative cellular and tissue imaging at 1 <italic<μ</italic<m
Author(s): Andy K. Lau; Terence T. W. Wong; Kenneth K. Ho; Matthew Y. H. Tang; Antony C. S. Chan; Xiaoming Wei; Edmund Y. Lam; Ho Cheung Shum; Kenneth K. Wong; Kevin K. Tsia
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Paper 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).

Paper Details

Date Published: 1 July 2014
PDF: 7 pages
J. Biomed. Opt. 19(7) 076001 doi: 10.1117/1.JBO.19.7.076001
Published in: Journal of Biomedical Optics Volume 19, Issue 7
Show Author Affiliations
Andy K. Lau, The Univ. of Hong Kong (China)
Terence T. W. Wong, The Univ. of Hong Kong (China)
Kenneth K. Ho, The Univ. of Hong Kong (China)
Matthew Y. H. Tang, The Univ. of Hong Kong (China)
Antony C. S. Chan, The Univ. of Hong Kong (China)
Xiaoming Wei, The Univ. of Hong Kong (China)
Edmund Y. Lam, The Univ. of Hong Kong (China)
Ho Cheung Shum, The Univ. of Hong Kong (China)
Shenzhen Institute of Research and Innovation (China)
Kenneth K. Wong, The Univ. of Hong Kong (China)
Kevin K. Tsia, The Univ. of Hong Kong (China)

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