High-throughput Cellular Imaging with High-Speed Asymmetric-Detection Time-Stretch Optical Microscopy under FPGA Platform

被引:0
作者
Ng, Ho-Cheung [1 ,2 ]
Wang, Maolin [1 ]
Chung, Bob M. F. [3 ]
Varma, B. Sharat Chandra [4 ]
Jaiswal, Manish Kumar [1 ]
Ho, Sam M. H. [1 ]
Tsia, Kevin K. [1 ]
Shum, Ho Cheung [3 ]
So, Hayden Kwok-Hay [1 ]
机构
[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Imperial Coll London, Dept Comp, London, England
[3] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
[4] Indian Inst Space Sci & Technol, Dept Avion, Thiruvananthapuram, Kerala, India
来源
2016 INTERNATIONAL CONFERENCE ON RECONFIGURABLE COMPUTING AND FPGAS (RECONFIG16) | 2016年
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中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Asymmetric-Detection Time-Stretch Optical Microscopy (ATOM) is a recently emerged technology that provides ultra-fast cell imaging with a frame rate up to MHz - orders-of-magnitude higher than any classical imaging systems. However, existing measuring instruments are unable to fully exploit the capability of ATOM. For example, the volume of imaging data-set of ATOM quickly increases beyond the capacity of available onboard buffer of a modern high-speed oscilloscope. This paper presents an open source, FPGA-based solution which serves as a dual role of collecting low-level signals from ATOM frontend as well as processing and transferring data to backing store. Optical signals are sampled by a high-speed analog-to-digital converter and the resulting values are collected by an FPGA. The quantized values received are then further processed and divided into four segments for subsequent data transfer with 1 0 Gbit Ethernet. Four computing units are attached to these channels with direct connection in order to reliably receive the data for post-processing. Experiments show that, with decent quality images for single-cell analysis, the proposed system can store 1 0 x more dataset than existing high-end oscilloscope. With 8 x decrease in equipment cost, the proposed FPGA-based system will definitely be beneficial for many bioimaging applications with ATOM technology such as rare cancer cell imaging and identification.
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页数:6
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