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通过二维光纤捕获和背向散射信号统计分析实现单粒子区分:一种探索性方法。

Single Particle Differentiation through 2D Optical Fiber Trapping and Back-Scattered Signal Statistical Analysis: An Exploratory Approach.

作者信息

Paiva Joana S, Ribeiro Rita S R, Cunha João P S, Rosa Carla C, Jorge Pedro A S

机构信息

INESC TEC-INESC Technology and Science, 4200 Porto, Portugal.

Physics and Astronomy Department, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal.

出版信息

Sensors (Basel). 2018 Feb 27;18(3):710. doi: 10.3390/s18030710.

DOI:10.3390/s18030710
PMID:29495502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5876792/
Abstract

Recent trends on microbiology point out the urge to develop optical micro-tools with multifunctionalities such as simultaneous manipulation and sensing. Considering that miniaturization has been recognized as one of the most important paradigms of emerging sensing biotechnologies, optical fiber tools, including Optical Fiber Tweezers (OFTs), are suitable candidates for developing multifunctional small sensors for Medicine and Biology. OFTs are flexible and versatile optotools based on fibers with one extremity patterned to form a micro-lens. These are able to focus laser beams and exert forces onto microparticles strong enough (piconewtons) to trap and manipulate them. In this paper, through an exploratory analysis of a 45 features set, including time and frequency-domain parameters of the back-scattered signal of particles trapped by a polymeric lens, we created a novel single feature able to differentiate synthetic particles (PMMA and Polystyrene) from living yeasts cells. This single statistical feature can be useful for the development of label-free hybrid optical fiber sensors with applications in infectious diseases detection or cells sorting. It can also contribute, by revealing the most significant information that can be extracted from the scattered signal, to the development of a simpler method for particles characterization (in terms of composition, heterogeneity degree) than existent technologies.

摘要

微生物学的最新趋势表明,迫切需要开发具有多种功能的光学微工具,如同时进行操纵和传感。鉴于小型化已被视为新兴传感生物技术最重要的范例之一,包括光纤镊子(OFTs)在内的光纤工具是开发用于医学和生物学的多功能小型传感器的合适候选者。光纤镊子是基于光纤的灵活通用的光工具,其一端经过图案化处理以形成微透镜。这些工具能够聚焦激光束,并对微粒施加足够强的力(皮牛顿)以捕获和操纵它们。在本文中,通过对一个包含45个特征集的探索性分析,包括聚合物透镜捕获的粒子背向散射信号的时域和频域参数,我们创建了一种能够区分合成粒子(聚甲基丙烯酸甲酯和聚苯乙烯)与活酵母细胞的新型单一特征。这种单一统计特征可用于开发无标记混合光纤传感器,应用于传染病检测或细胞分选。它还可以通过揭示可从散射信号中提取的最重要信息,为开发一种比现有技术更简单的粒子表征方法(在组成、异质性程度方面)做出贡献。

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本文引用的文献

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2
Extracellular Vesicle Flow Cytometry Analysis and Standardization.细胞外囊泡流式细胞术分析与标准化
Front Cell Dev Biol. 2017 Aug 30;5:78. doi: 10.3389/fcell.2017.00078. eCollection 2017.
3
Beat-ID: Towards a computationally low-cost single heartbeat biometric identity check system based on electrocardiogram wave morphology.
Sci Rep. 2020 Feb 21;10(1):3171. doi: 10.1038/s41598-020-59661-5.
4
Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine.基于光纤的纳米粒子检测传感方法:通过监督背向散射分析实现,有望应用于生物医学领域。
Int J Nanomedicine. 2019 Apr 2;14:2349-2369. doi: 10.2147/IJN.S174358. eCollection 2019.
5
Fabrication of Multimode-Single Mode Polymer Fiber Tweezers for Single Cell Trapping and Identification with Improved Performance.多模单模聚合物光纤镊子的制作用于单细胞捕获和识别,具有改进的性能。
Sensors (Basel). 2018 Aug 21;18(9):2746. doi: 10.3390/s18092746.
心跳识别(Beat-ID):迈向基于心电图波形形态的计算成本低的单心跳生物特征身份验证系统。
PLoS One. 2017 Jul 18;12(7):e0180942. doi: 10.1371/journal.pone.0180942. eCollection 2017.
4
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Sci Rep. 2017 Jun 30;7(1):4485. doi: 10.1038/s41598-017-04490-2.
5
Origin and Future of Plasmonic Optical Tweezers.表面等离子体光镊的起源与未来
Nanomaterials (Basel). 2015 Jun 12;5(2):1048-1065. doi: 10.3390/nano5021048.
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7
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Biomed Opt Express. 2016 Feb 25;7(3):1042-50. doi: 10.1364/BOE.7.001042. eCollection 2016 Mar 1.
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9
An automatic method for arterial pulse waveform recognition using KNN and SVM classifiers.一种使用KNN和SVM分类器的动脉脉搏波形识别自动方法。
Med Biol Eng Comput. 2016 Jul;54(7):1049-59. doi: 10.1007/s11517-015-1393-5. Epub 2015 Sep 24.
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