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spelling paper:paper_10859195_v48_n1_p1_Levi2023-06-08T16:06:07Z Exploring dynamics in living cells by tracking single particles Levi, Valeria Dynamics Intracellular motion Single particle tracking Tracking algorithm Trajectory fluorescent dye molecular motor photoprotein quantum dot algorithm biomechanics biophysics cell function confocal microscopy fluorescence microscopy fluorescence recovery after photobleaching methodology movement (physiology) physiology review spectrofluorometry statistics Algorithms Biomechanics Biophysics Cell Physiology Fluorescence Recovery After Photobleaching Fluorescent Dyes Luminescent Proteins Microscopy, Confocal Microscopy, Fluorescence Molecular Motor Proteins Movement Quantum Dots Spectrometry, Fluorescence In the last years, significant advances in microscopy techniques and the introduction of a novel technology to label living cells with genetically encoded fluorescent proteins revolutionized the field of Cell Biology. Our understanding on cell dynamics built from snapshots on fixed specimens has evolved thanks to our actual capability to monitor in real time the evolution of processes in living cells. Among these new tools, single particle tracking techniques were developed to observe and follow individual particles. Hence, we are starting to unravel the mechanisms driving the motion of a wide variety of cellular components ranging from organelles to protein molecules by following their way through the cell. In this review, we introduce the single particle tracking technology to new users. We briefly describe the instrumentation and explain some of the algorithms commonly used to locate and track particles. Also, we present some common tools used to analyze trajectories and illustrate with some examples the applications of single particle tracking to study dynamics in living cells. © Humana Press Inc. 2007. Fil:Levi, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10859195_v48_n1_p1_Levi http://hdl.handle.net/20.500.12110/paper_10859195_v48_n1_p1_Levi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Dynamics
Intracellular motion
Single particle tracking
Tracking algorithm
Trajectory
fluorescent dye
molecular motor
photoprotein
quantum dot
algorithm
biomechanics
biophysics
cell function
confocal microscopy
fluorescence microscopy
fluorescence recovery after photobleaching
methodology
movement (physiology)
physiology
review
spectrofluorometry
statistics
Algorithms
Biomechanics
Biophysics
Cell Physiology
Fluorescence Recovery After Photobleaching
Fluorescent Dyes
Luminescent Proteins
Microscopy, Confocal
Microscopy, Fluorescence
Molecular Motor Proteins
Movement
Quantum Dots
Spectrometry, Fluorescence
spellingShingle Dynamics
Intracellular motion
Single particle tracking
Tracking algorithm
Trajectory
fluorescent dye
molecular motor
photoprotein
quantum dot
algorithm
biomechanics
biophysics
cell function
confocal microscopy
fluorescence microscopy
fluorescence recovery after photobleaching
methodology
movement (physiology)
physiology
review
spectrofluorometry
statistics
Algorithms
Biomechanics
Biophysics
Cell Physiology
Fluorescence Recovery After Photobleaching
Fluorescent Dyes
Luminescent Proteins
Microscopy, Confocal
Microscopy, Fluorescence
Molecular Motor Proteins
Movement
Quantum Dots
Spectrometry, Fluorescence
Levi, Valeria
Exploring dynamics in living cells by tracking single particles
topic_facet Dynamics
Intracellular motion
Single particle tracking
Tracking algorithm
Trajectory
fluorescent dye
molecular motor
photoprotein
quantum dot
algorithm
biomechanics
biophysics
cell function
confocal microscopy
fluorescence microscopy
fluorescence recovery after photobleaching
methodology
movement (physiology)
physiology
review
spectrofluorometry
statistics
Algorithms
Biomechanics
Biophysics
Cell Physiology
Fluorescence Recovery After Photobleaching
Fluorescent Dyes
Luminescent Proteins
Microscopy, Confocal
Microscopy, Fluorescence
Molecular Motor Proteins
Movement
Quantum Dots
Spectrometry, Fluorescence
description In the last years, significant advances in microscopy techniques and the introduction of a novel technology to label living cells with genetically encoded fluorescent proteins revolutionized the field of Cell Biology. Our understanding on cell dynamics built from snapshots on fixed specimens has evolved thanks to our actual capability to monitor in real time the evolution of processes in living cells. Among these new tools, single particle tracking techniques were developed to observe and follow individual particles. Hence, we are starting to unravel the mechanisms driving the motion of a wide variety of cellular components ranging from organelles to protein molecules by following their way through the cell. In this review, we introduce the single particle tracking technology to new users. We briefly describe the instrumentation and explain some of the algorithms commonly used to locate and track particles. Also, we present some common tools used to analyze trajectories and illustrate with some examples the applications of single particle tracking to study dynamics in living cells. © Humana Press Inc. 2007.
author Levi, Valeria
author_facet Levi, Valeria
author_sort Levi, Valeria
title Exploring dynamics in living cells by tracking single particles
title_short Exploring dynamics in living cells by tracking single particles
title_full Exploring dynamics in living cells by tracking single particles
title_fullStr Exploring dynamics in living cells by tracking single particles
title_full_unstemmed Exploring dynamics in living cells by tracking single particles
title_sort exploring dynamics in living cells by tracking single particles
publishDate 2007
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10859195_v48_n1_p1_Levi
http://hdl.handle.net/20.500.12110/paper_10859195_v48_n1_p1_Levi
work_keys_str_mv AT levivaleria exploringdynamicsinlivingcellsbytrackingsingleparticles
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