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利用寿命信息在嘈杂环境中进行实时 3D 单粒子跟踪。

Leveraging lifetime information to perform real-time 3D single-particle tracking in noisy environments.

机构信息

Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.

Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607-7061, USA.

出版信息

J Chem Phys. 2021 Oct 28;155(16):164201. doi: 10.1063/5.0063634.

DOI:10.1063/5.0063634
PMID:34717352
Abstract

A microscopy platform that leverages the arrival time of individual photons to enable 3D single-particle tracking of fast-moving (translational diffusion coefficient of ≃3.3 µm/s) particles in high-background environments is reported here. It combines a hardware-based time-gating module, which enables the rate of photon processing to be as high as 100 MHz, with a two-photon-excited 3D single-particle tracking confocal microscope to enable high sample penetration depth. Proof-of-principle experiments where single quantum dots are tracked in solutions containing dye-stained cellulose, are shown with tracking performance markedly improved using the hardware-based time-gating module. Such a microscope design is anticipated to be of use to a variety of communities who wish to track single particles in cellular environments, which commonly have high fluorescence and scattering background.

摘要

这里报道了一种利用单光子到达时间的显微镜平台,可实现高背景环境中快速移动(平移扩散系数 ≃3.3 µm/s)粒子的 3D 单颗粒跟踪。它结合了基于硬件的时间门控模块,可将光子处理速率提高到 100 MHz,以及双光子激发的 3D 单颗粒跟踪共焦显微镜,可实现高样品穿透深度。通过在含有染料染色纤维素的溶液中跟踪单量子点的原理验证实验,展示了使用基于硬件的时间门控模块显著改善的跟踪性能。这种显微镜设计有望被希望在细胞环境中跟踪单个粒子的各种研究领域所使用,因为细胞环境通常具有高荧光和散射背景。

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Leveraging lifetime information to perform real-time 3D single-particle tracking in noisy environments.利用寿命信息在嘈杂环境中进行实时 3D 单粒子跟踪。
J Chem Phys. 2021 Oct 28;155(16):164201. doi: 10.1063/5.0063634.
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引用本文的文献

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Perspective: An outlook on fluorescence tracking.观点:荧光追踪展望。
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2
Design and numerical simulation of CuBiO solar cells with graphene quantum dots as hole transport layer under ideal and non-ideal conditions.以石墨烯量子点为空穴传输层的CuBiO太阳能电池在理想和非理想条件下的设计与数值模拟
Sci Rep. 2025 Jan 2;15(1):100. doi: 10.1038/s41598-024-83700-0.
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Combined online Bayesian and windowed estimation of background and signal localization facilitates active-feedback particle tracking in complex environments.
联合在线贝叶斯和窗口化估计背景和信号定位,有助于在复杂环境中进行主动反馈粒子跟踪。
J Chem Phys. 2022 Nov 14;157(18):184108. doi: 10.1063/5.0118317.
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Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective.实时反馈驱动的单颗粒跟踪:综述与展望。
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