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Minimal Path based Particle Tracking in Low SNR Fluorescence Microscopy Images

Published: 13 August 2019 Publication History

Abstract

Single Particle Tracking (SPT) in fluorescence microscopy image is of great importance in the field of computational biology. Automatic or slightly interactive tracking algorithms are essential for the motional analysis of micro particles. Even with prior knowledge, conventional methods may fail when the signal-to-noise ratio (SNR) is too low because they highly depend on the quality of the image and the results of detection. To reliably track particles in the low SNR images, we proposed a novel method based on minimal path theory and attempted to extract complete trajectories between two points. Our method was evaluated on several simulated image sequences and showed its accuracy and robustness in the task of particle tracking.

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  • (2022)Analysis of super-resolution single molecule localization microscopy data: A tutorialAIP Advances10.1063/5.006934912:1(010701)Online publication date: 1-Jan-2022
  • (2021)A Review on Quantitative Analyzing Axonal Transport of Mitochondria2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)10.1109/LifeTech52111.2021.9391884(441-443)Online publication date: 9-Mar-2021

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  1. Minimal Path based Particle Tracking in Low SNR Fluorescence Microscopy Images

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    ICBIP '19: Proceedings of the 4th International Conference on Biomedical Signal and Image Processing
    August 2019
    149 pages
    ISBN:9781450372244
    DOI:10.1145/3354031
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan: Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan
    • Sichuan University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 August 2019

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    Author Tags

    1. Low SNR
    2. Minimal path theory
    3. Single particle tracking

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    View all
    • (2022)Analysis of super-resolution single molecule localization microscopy data: A tutorialAIP Advances10.1063/5.006934912:1(010701)Online publication date: 1-Jan-2022
    • (2021)A Review on Quantitative Analyzing Axonal Transport of Mitochondria2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)10.1109/LifeTech52111.2021.9391884(441-443)Online publication date: 9-Mar-2021

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