High-throughput cellular imaging with high-speed asymmetric-detection time-stretch optical microscopy under FPGA platform

Ho-Cheung Ng, Maolin Wang, Bob M. F. Chung, B. S. C. Varma, M. Jaiswal, S. M. H. Ho, K. Tsia, H. Shum, Hayden Kwok-Hay So
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引用次数: 2

Abstract

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 10 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 10x more dataset than existing high-end oscilloscope. With 8x decrease in equipment cost, the proposed FPGA-based system will definitely be beneficial for many bio imaging applications with ATOM technology such as rare cancer cell imaging and identification.
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FPGA平台下高速非对称检测时间拉伸光学显微镜的高通量细胞成像
非对称检测时间-拉伸光学显微镜(ATOM)是最近出现的一种技术,它提供超高速细胞成像,帧速率高达MHz -比任何经典成像系统都要高几个数量级。然而,现有的测量仪器无法充分利用ATOM的能力。例如,ATOM的成像数据集的容量迅速增加,超过了现代高速示波器可用板载缓冲器的容量。本文提出了一种开源的、基于fpga的解决方案,它既可以从ATOM前端收集低级信号,又可以处理和传输数据到后台存储。光信号由高速模数转换器采样,结果值由FPGA采集。接收到的量化值将被进一步处理并分成4个段,用于随后的10gb以太网数据传输。为了可靠地接收数据进行后处理,四个计算单元与这些通道直接连接。实验表明,对于单细胞分析的高质量图像,该系统可以比现有的高端示波器多存储10倍的数据集。由于设备成本降低了8倍,所提出的基于fpga的系统将绝对有利于许多采用ATOM技术的生物成像应用,例如罕见的癌细胞成像和识别。
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