Poster + Presentation
5 March 2021 High throughput three-dimensional imaging cytometry based on single-shot optical diffraction tomography system
Author Affiliations +
Conference Poster
Abstract
Optical diffraction tomography (ODT) has demonstrated its potential for revealing subcellular structures and quantitative compositions in living cells without chemical staining. Recently, we developed a deep-learning based algorithm to reconstruct the 3D refractive index (RI) maps of cells using a single raw interferogram, measured from an angle-multiplexed ODT system. Using this system, we demonstrated a high throughput 3D image cytometry method, in which a microfluidic chip for controlling cell flow is integrated in the ODT system. By flowing the cells in the chip and minimizing the camera exposure time, we can achieve 3D imaging of over 6,000 cells per second.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanping He, Baoliang Ge, Mo Deng, Yijin Wang, Md Habibur Rahman, Yi Ping Ho, Liting Duan, Zahid Yaqoob, George Barbastathis, Peter T. C. So, and Renjie Zhou "High throughput three-dimensional imaging cytometry based on single-shot optical diffraction tomography system", Proc. SPIE 11654, High-Speed Biomedical Imaging and Spectroscopy VI, 1165415 (5 March 2021); https://doi.org/10.1117/12.2579038
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KEYWORDS
3D image processing

Diffraction

Optical tomography

Tomography

Singular optics

Algorithm development

Microfluidics

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