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用于单个运动微生物研究的微型机器人平台。

Microrobotic Platform for Single Motile Microorganism Investigation.

作者信息

Ahmad Belal, Maeda Hironobu, Kawahara Tomohiro, Arai Fumihito

机构信息

Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu 808-0196, Japan.

School of Engineering, Kyushu Institute of Technology, Kitakyushu 804-8550, Japan.

出版信息

Micromachines (Basel). 2017 Sep 30;8(10):295. doi: 10.3390/mi8100295.

Abstract

We propose a microrobotic platform for single motile microorganism observation and investigation. The platform utilizes a high-speed online vision sensor to realize real-time observation of a microorganism under a microscopic environment with a relatively high magnification ratio. A microfluidic chip was used to limit the vertical movement of the microorganism and reduce the tracking system complexity. We introduce a simple image processing method, which utilizes high-speed online vision characteristics and shows robustness against image noise to increase the overall tracking performance with low computational time consumption. The design also considers the future integration of a stimulation system using microtools. Successful long-time tracking of a freely swimming microorganism inside of a microfluidic chip for more than 30 min was achieved notwithstanding the presence of noises in the environment of the cell. The specific design of the platform, particularly the tracking system, is described, and the performance is evaluated and confirmed through basic experiments. The potential of the platform to apply mechanical stimulation to a freely swimming microorganism is demonstrated by using a 50-µm-thick microtool. The proposed platform can be used for long-term observation and to achieve different kinds of stimulations, which can induce new behavior of the cells and lead to unprecedented discoveries in biological fields.

摘要

我们提出了一个用于单个活动微生物观察与研究的微机器人平台。该平台利用高速在线视觉传感器,在具有较高放大倍率的微观环境下实现对微生物的实时观察。使用微流控芯片来限制微生物的垂直移动并降低跟踪系统的复杂性。我们引入了一种简单的图像处理方法,该方法利用高速在线视觉特性,并且对图像噪声具有鲁棒性,从而在低计算时间消耗的情况下提高整体跟踪性能。该设计还考虑了未来使用微工具的刺激系统的集成。尽管细胞环境中存在噪声,但仍成功地在微流控芯片内对自由游动的微生物进行了长达30多分钟的长时间跟踪。描述了该平台的具体设计,特别是跟踪系统,并通过基础实验对其性能进行了评估和验证。通过使用一个50微米厚的微工具,展示了该平台对自由游动微生物施加机械刺激的潜力。所提出的平台可用于长期观察并实现不同类型的刺激,这能够诱导细胞产生新行为,并在生物学领域带来前所未有的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ce/6189944/45f3f2bbb4fd/micromachines-08-00295-g001.jpg

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