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Characterizations of kinetic power and propulsion of the nematode Caenorhabditis elegans based on a micro-particle image velocimetry system

机译:基于微粒图像测速系统的线虫秀丽隐杆线虫动能和推进特性

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摘要

Quantifying the motility of micro-organisms is beneficial in understanding their biomechanical properties. This paper presents a simple image-based algorithm to derive the kinetic power and propulsive force of the nematode Caenorhabditis elegans. To avoid unnecessary disturbance, each worm was confined in an aqueous droplet of 0.5 μl. The droplet was sandwiched between two glass slides and sealed with mineral oil to prevent evaporation. For motion visualization, 3-μm fluorescent particles were dispersed in the droplet. Since the droplet formed an isolated environment, the fluid drag and energy loss due to wall frictions were associated with the worm's kinetic power and propulsion. A microparticle image velocimetry system was used to acquire consecutive particle images for fluid analysis. The short-time interval (Δt < 20 ms) between images enabled quasi real-time measurements. A numerical simulation of the flow in a straight channel showed that the relative error of this algorithm was significantly mitigated as the image was divided into small interrogation windows. The time-averaged power and propulsive force of a N2 adult worm over three swimming cycles were estimated to be 5.2 ± 3.1 pW and 1.0 ± 0.8 nN, respectively. In addition, a mutant, KG532 [kin-2(ce179) X], and a wild-type (N2) worm in a viscous medium were investigated. Both cases showed an increase in the kinetic power as compared with the N2 worm in the nematode growth medium due to the hyperactive nature of the kin-2 mutant and the high viscosity medium used. Overall, the technique deals with less sophisticated calculations and is automation possible.
机译:量化微生物的运动性有助于理解它们的生物力学特性。本文提出了一种简单的基于图像的算法,可得出线虫秀丽隐杆线虫的动能和推进力。为避免不必要的干扰,将每种蠕虫限制在0.5μl的水滴中。将液滴夹在两个载玻片之间,并用矿物油密封以防止蒸发。为了进行运动可视化,将3μm荧光颗粒分散在液滴中。由于液滴形成了隔离的环境,因此由于壁摩擦而引起的流体阻力和能量损失与蠕虫的动能和推进力有关。使用微粒图像测速系统获取连续的颗粒图像以进行流体分析。图像之间的短时间间隔(Δt<20 ms)使准实时测量成为可能。直通道内流动的数值模拟表明,由于将图像分为较小的询问窗口,该算法的相对误差得到了显着缓解。在三个游泳周期中,N2成虫蠕虫的时间平均功率和推进力分别估计为5.2±3.1 pW和1.0±0.8 nN。此外,还研究了突变体KG532 [kin-2(ce179)X]和粘性介质中的野生型(N2)蠕虫。与线虫生长培养基中的N2蠕虫相比,这两种情况均显示出动能的增加,这归因于kin-2突变体的高活性特性和所用的高粘度培养基。总体而言,该技术处理的复杂程度较低,并且可以实现自动化。

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