利用 FPGA 集成提高光学镊子的多功能性。

Applied optics Pub Date : 2024-01-01 DOI:10.1364/AO.505998
Shuo Liu, Xudong Fan, Zhelin Qu, Changfeng Fang, Chao Feng, Xian Zhao, Jun-Lei Wang
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引用次数: 0

摘要

光学镊子的开发旨在扩展其操作功能和模式。然而,过度编程会导致系统运行速度下降,并带来错误或数据传输延迟。在本研究中,我们提出了一种分时光学镊子系统,可实现多种功能的并行操作。为了实现高效的数据传输,我们采用了队列结构和缓冲器。为了评估系统的性能,我们将生物样本与光镊系统和扫描成像技术结合使用。在运行功率稳定程序的同时,我们对捕获参数进行了量化。结果,测量刚度的标准偏差在 x 和 y 方向上减少了 60%,在 z 方向上减少了 30%,这表明校准精度有了显著提高。在整个程序执行过程中,系统保持 110 kHz 的运行速率,数据在主机上不断实时更新。该系统的性能证明了其在生物样本量化和形态重建方面的潜力。
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Improving the multi-functionality of optical tweezers with FPGA integration.

The development of optical tweezers aims to extend their operating function and pattern. However, excessive programming can lead to a decrease in the system's operating speed and introduce bugs or data transmission delays. In this study, we present a time-shared optical tweezers system that allows for parallel operation of multiple functions. To enable efficient data transmission, we employ a queue structure and a buffer. To assess the system's performance, we utilize a biological sample in conjunction with the optical tweezers system and scanning imaging technique. We quantify the trapping parameter while concurrently running power stabilization programs. As a result, the standard deviation of the measured stiffness is reduced by 60% in the x and y directions and 30% in the z direction, indicating a significant improvement in calibration precision. Throughout the program execution, the system maintains an operating rate of 110 kHz, and the data are continuously updated in real time on the host. The system's performance demonstrates its potential for quantification and morphological reconstruction of biological samples.

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