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用贝叶斯推理校准光镊

Calibrating optical tweezers with Bayesian inference.

作者信息

Richly Maximilian U, Türkcan Silvan, Le Gall Antoine, Fiszman Nicolas, Masson Jean-Baptiste, Westbrook Nathalie, Perronet Karen, Alexandrou Antigoni

出版信息

Opt Express. 2013 Dec 16;21(25):31578-90. doi: 10.1364/OE.21.031578.

DOI:10.1364/OE.21.031578
PMID:24514731
Abstract

We present a new method for calibrating an optical-tweezer setup that does not depend on input parameters and is less affected by systematic errors like drift of the setup. It is based on an inference approach that uses Bayesian probability to infer the diffusion coefficient and the potential felt by a bead trapped in an optical or magnetic trap. It exploits a much larger amount of the information stored in the recorded bead trajectory than standard calibration approaches. We demonstrate that this method outperforms the equipartition method and the power-spectrum method in input information required (bead radius and trajectory length) and in output accuracy.

摘要

我们提出了一种用于校准光镊装置的新方法,该方法不依赖于输入参数,并且受装置漂移等系统误差的影响较小。它基于一种推理方法,该方法使用贝叶斯概率来推断捕获在光阱或磁阱中的珠子的扩散系数和感受到的势。与标准校准方法相比,它利用了记录的珠子轨迹中存储的大量信息。我们证明,在所需的输入信息(珠子半径和轨迹长度)和输出精度方面,该方法优于均分法和功率谱法。

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1
Calibrating optical tweezers with Bayesian inference.用贝叶斯推理校准光镊
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Auto- and cross-power spectral analysis of dual trap optical tweezer experiments using Bayesian inference.使用贝叶斯推理对双阱光镊实验进行自功率谱和互功率谱分析。
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Pulsed laser manipulation of an optically trapped bead: averaging thermal noise and measuring the pulsed force amplitude.光镊捕获微珠的脉冲激光操纵:平均热噪声并测量脉冲力幅度。
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Counter-propagating dual-trap optical tweezers based on linear momentum conservation.基于线性动量守恒的反向传播双阱光镊
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引用本文的文献

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Optimal calibration of optical tweezers with arbitrary integration time and sampling frequencies: a general framework [Invited].具有任意积分时间和采样频率的光镊的最佳校准:一个通用框架[特邀文章]
Biomed Opt Express. 2023 Nov 28;14(12):6442-6469. doi: 10.1364/BOE.495468. eCollection 2023 Dec 1.
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Enhanced Signal-to-Noise and Fast Calibration of Optical Tweezers Using Single Trapping Events.利用单捕获事件增强光镊的信噪比及快速校准
Micromachines (Basel). 2021 May 17;12(5):570. doi: 10.3390/mi12050570.
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Bayesian inference of the viscoelastic properties of a Jeffrey's fluid using optical tweezers.
贝叶斯推断 Jeffrey 流体的黏弹性性质的光镊。
Sci Rep. 2021 Jan 21;11(1):2023. doi: 10.1038/s41598-021-81094-x.
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Fast Bayesian inference of optical trap stiffness and particle diffusion.快速贝叶斯光学陷阱刚度和粒子扩散推断。
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A Primer on the Bayesian Approach to High-Density Single-Molecule Trajectories Analysis.贝叶斯方法用于高密度单分子轨迹分析入门
Biophys J. 2016 Mar 29;110(6):1209-15. doi: 10.1016/j.bpj.2016.01.018.