Share Email Print
cover

Proceedings Paper • new

Ultralarge-scale spinning time-stretch quantitative phase imaging system for label-free cell and tissue imaging (Conference Presentation)
Author(s): Dickson M. D. Siu; Anson H. L. Tang; Kelvin C. M. Lee; Kenneth K. Y. Wong; Kevin K. Tsia
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Continuing development of image-based bioassay is mainly hampered by the lack of throughput to systematically screen a large cell/tissue population under extensive experimental conditions; and the overwhelming reliance on biochemical markers, which are not always effective, especially when there is poor prior knowledge of the markers. Here we demonstrate ultralarge-scale, high-resolution “on-the-fly” quantitative phase imaging (QPI) of single-cells and whole-tissue-slide on a spinning-disk assay platform at an imaging rate of at least 100-times faster than current assays – mitigating the imaging throughput limitation hindered by the fundamental space-bandwidth-product limit of classical optical imaging. The concept takes advantage of the high-speed spinning motion, which naturally provides imaging at an ultrafast rate (<10MHz) that can only be made possible with time-stretch imaging. To demonstrate the capability of the system, we imaged both label-free adherent cells and tissue slices, prepared on the functionalized digital versatile discs (DVDs), across a giga-pixel-FOV exceeding 10mm2 at a resolution of ~ 1μm. Both bright-field and QPI images are generated in real-time with this FOV at a spinning speed of <1,000 rpm. In contrast to the vast majority of current QPI modalities, our platform requires no interferometry and no computationally-intensive iterative method for phase retrieval, favouring continuous high-speed QPI operation in real-time. More importantly, this spinning imaging platform allows generation of a catalogue of label-free biophysical phenotypes of cells/tissues, e.g. cell size, dry mass density, morphology as well as light scattering properties, which could enable a new generation of large-scale in-depth label-free image-based bioassays.

Paper Details

Date Published: 4 March 2019
PDF
Proc. SPIE 10889, High-Speed Biomedical Imaging and Spectroscopy IV, 108890U (4 March 2019); doi: 10.1117/12.2508354
Show Author Affiliations
Dickson M. D. Siu, The Univ. of Hong Kong (Hong Kong, China)
Anson H. L. Tang, The Univ. of Hong Kong (Hong Kong, China)
Kelvin C. M. Lee, The Univ. of Hong Kong (Hong Kong, China)
Kenneth K. Y. Wong, The Univ. of Hong Kong (Hong Kong, China)
Kevin K. Tsia, The Univ. of Hong Kong (Hong Kong, China)


Published in SPIE Proceedings Vol. 10889:
High-Speed Biomedical Imaging and Spectroscopy IV
Kevin K. Tsia; Keisuke Goda, Editor(s)

© SPIE. Terms of Use
Back to Top