Presentation
24 April 2017 Optofluidic time-stretch quantitative phase microscopy for high-throughput label-free single-cell analysis (Conference Presentation)
Author Affiliations +
Proceedings Volume 10074, Quantitative Phase Imaging III; 1007402 (2017) https://doi.org/10.1117/12.2250824
Event: SPIE BiOS, 2017, San Francisco, California, United States
Abstract
The ability to sift through a large heterogeneous population of cells is of paramount importance in a diverse range of biomedical and green applications. Furthermore, the capability of identifying various features of cells in a label-free manner is useful for high-throughput screening. Here we present optofluidic time-stretch quantitative phase microscopy for high-throughput label-free single-cell screening. This method is based on an integration of a hydrodynamic-focusing microfluidic chip, an optical time-stretch microscope for high-speed imaging with a spatial resolution of ~800 nm at a frame rate of ~10 million frames per second, and a digital image processor for image-based characterization, classification, and statistical analysis of biological cells such as blood cells and microalgae. It provides both the opacity (amplitude) and thickness (phase) content of every cell at a high throughput of ~10,000 cells per second. This method is expected to be effective for a diverse range of applications such as cancer detection and biofuel production.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baoshan Guo, Cheng Lei, Takuro Ito, Yiyue Jiang, Yasuyuki Ozeki, and Keisuke Goda "Optofluidic time-stretch quantitative phase microscopy for high-throughput label-free single-cell analysis (Conference Presentation)", Proc. SPIE 10074, Quantitative Phase Imaging III, 1007402 (24 April 2017); https://doi.org/10.1117/12.2250824
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KEYWORDS
Microscopy

Biomedical optics

High speed imaging

Image classification

Image processing

Integrated optics

Microfluidics

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