Low-cost motility tracking system (LOCOMOTIS) for time-lapse microscopy applications and cell visualisation.

Low-cost motility tracking system (LOCOMOTIS) for time-lapse microscopy applications and cell visualisation.
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DOI:
10.1371/journal.pone.0103547
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Routledge E
Routledge E
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lynch AE;Triajianto J;Routledge E

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为了研究细胞的运动而直接观察细胞通常需要昂贵的显微镜设备。然而,数字传感器的最新进展意味着现在可以用标准显微镜的一小部分价格对细胞进行成像。随着低成本成像的出现,高质量的开源分析程序的可用性也有了很大的增加。在本研究中,我们描述了一种可扩展的细胞运动系统的开发和性能,该系统采用廉价的、市售的数字USB显微镜,使用延时成像各种细胞类型,并在概念验证实验中进行跟踪分析。有了这个系统,我们能够在一台个人电脑上使用相同的显微镜同时测量和记录三个独立的分析,并获得与使用标准的、更昂贵的设备的其他研究的质量相当的跟踪结果。在我们的系统中使用的显微镜能够最大放大413.6倍。虽然分辨率低于标准倒置显微镜,但我们发现这种差异在细胞跟踪实验选择的放大倍率(206.8倍)下无法区分。在使用本系统进行的初步细胞培养实验中,测量到的速度(平均µm/min±SE)分别为0.81±0.01(未包被板上的光斑生物phalaria血细胞)、1.17±0.004 (MDA-MB-231乳腺癌细胞)、1.24±0.006 (SC5小鼠Sertoli细胞)和2.21±0.01(聚l -赖氨酸包被板上的光斑生物phalaria血细胞),与之前的报道一致。我们相信,该系统与开源分析软件相结合,表明用于研究细胞运动的高通量延时成像对所有研究人员来说都是一个负担得起的选择。
Direct visualisation of cells for the purpose of studying their motility has typically required expensive microscopy equipment. However, recent advances in digital sensors mean that it is now possible to image cells for a fraction of the price of a standard microscope. Along with low-cost imaging there has also been a large increase in the availability of high quality, open-source analysis programs. In this study we describe the development and performance of an expandable cell motility system employing inexpensive, commercially available digital USB microscopes to image various cell types using time-lapse and perform tracking assays in proof-of-concept experiments. With this system we were able to measure and record three separate assays simultaneously on one personal computer using identical microscopes, and obtained tracking results comparable in quality to those from other studies that used standard, more expensive, equipment. The microscopes used in our system were capable of a maximum magnification of 413.6×. Although resolution was lower than that of a standard inverted microscope we found this difference to be indistinguishable at the magnification chosen for cell tracking experiments (206.8×). In preliminary cell culture experiments using our system, velocities (mean µm/min ± SE) of 0.81±0.01 (Biomphalaria glabrata hemocytes on uncoated plates), 1.17±0.004 (MDA-MB-231 breast cancer cells), 1.24±0.006 (SC5 mouse Sertoli cells) and 2.21±0.01 (B. glabrata hemocytes on Poly-L-Lysine coated plates), were measured and are consistent with previous reports. We believe that this system, coupled with open-source analysis software, demonstrates that higher throughput time-lapse imaging of cells for the purpose of studying motility can be an affordable option for all researchers.
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