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Proceedings Paper

FPGA-based real-time signal triggered storage system for ultrafast imaging flow cytometry
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Paper Abstract

Ultrafast imaging flow cytometry can be realized by time-encoded single-pixel imaging technique, with high imaging speed (<10million frame/s) and high throughput (<10,000 cells/s). However, the signal of background image without cells occupies a large part of the acquired data and takes up a lot of storage space. In this paper, a FPGA-based triggering and storage system is proposed, which allows real-time storage of signal of cells with blank background neglected. Moreover, it is easy to implement and of high accuracy, as well as adaptivity to different sampling rate. This system reduces the required storage space and enables efficient storage for ultrafast imaging flow cytometry.

Paper Details

Date Published: 20 November 2019
PDF: 6 pages
Proc. SPIE 11192, Real-time Photonic Measurements, Data Management, and Processing IV, 111920T (20 November 2019); doi: 10.1117/12.2536524
Show Author Affiliations
Honghao Huang, Tsinghua Univ. (China)
Weizhe Meng, Tsinghua Univ. (China)
Wanyue Zhao, Tsinghua Univ. (China)
Minghua Chen, Tsinghua Univ. (China)
Sigang Yang, Tsinghua Univ. (China)
Hongwei Chen, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 11192:
Real-time Photonic Measurements, Data Management, and Processing IV
Ming Li; Bahram Jalali; Mohammad Hossein Asghari, Editor(s)

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