Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments
Abstract Fluorescence correlation spectroscopy (FCS) methods are powerful tools for unveiling the dynamical organization of cells. For simple cases, such as molecules passively moving in a homogeneous media, FCS analysis yields analytical functions that can be fitted to the experimental data to reco...
Guardado en:
Autores principales: | , |
---|---|
Publicado: |
2015
|
Materias: | |
Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00063495_v108_n11_p2613_Angiolini http://hdl.handle.net/20.500.12110/paper_00063495_v108_n11_p2613_Angiolini |
Aporte de: |
id |
paper:paper_00063495_v108_n11_p2613_Angiolini |
---|---|
record_format |
dspace |
spelling |
paper:paper_00063495_v108_n11_p2613_Angiolini2023-06-08T14:31:14Z Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments Mocskos, Esteban Eduardo Levi, Valeria cells cytology diffusion fluorescence microscopy Monte Carlo method Cells Diffusion Microscopy, Fluorescence Monte Carlo Method Abstract Fluorescence correlation spectroscopy (FCS) methods are powerful tools for unveiling the dynamical organization of cells. For simple cases, such as molecules passively moving in a homogeneous media, FCS analysis yields analytical functions that can be fitted to the experimental data to recover the phenomenological rate parameters. Unfortunately, many dynamical processes in cells do not follow these simple models, and in many instances it is not possible to obtain an analytical function through a theoretical analysis of a more complex model. In such cases, experimental analysis can be combined with Monte Carlo simulations to aid in interpretation of the data. In response to this need, we developed a method called FERNET (Fluorescence Emission Recipes and Numerical routines Toolkit) based on Monte Carlo simulations and the MCell-Blender platform, which was designed to treat the reaction-diffusion problem under realistic scenarios. This method enables us to set complex geometries of the simulation space, distribute molecules among different compartments, and define interspecies reactions with selected kinetic constants, diffusion coefficients, and species brightness. We apply this method to simulate single- and multiple-point FCS, photon-counting histogram analysis, raster image correlation spectroscopy, and two-color fluorescence cross-correlation spectroscopy. We believe that this new program could be very useful for predicting and understanding the output of fluorescence microscopy experiments. © 2015 Biophysical Society. Fil:Mocskos, E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Levi, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00063495_v108_n11_p2613_Angiolini http://hdl.handle.net/20.500.12110/paper_00063495_v108_n11_p2613_Angiolini |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
cells cytology diffusion fluorescence microscopy Monte Carlo method Cells Diffusion Microscopy, Fluorescence Monte Carlo Method |
spellingShingle |
cells cytology diffusion fluorescence microscopy Monte Carlo method Cells Diffusion Microscopy, Fluorescence Monte Carlo Method Mocskos, Esteban Eduardo Levi, Valeria Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments |
topic_facet |
cells cytology diffusion fluorescence microscopy Monte Carlo method Cells Diffusion Microscopy, Fluorescence Monte Carlo Method |
description |
Abstract Fluorescence correlation spectroscopy (FCS) methods are powerful tools for unveiling the dynamical organization of cells. For simple cases, such as molecules passively moving in a homogeneous media, FCS analysis yields analytical functions that can be fitted to the experimental data to recover the phenomenological rate parameters. Unfortunately, many dynamical processes in cells do not follow these simple models, and in many instances it is not possible to obtain an analytical function through a theoretical analysis of a more complex model. In such cases, experimental analysis can be combined with Monte Carlo simulations to aid in interpretation of the data. In response to this need, we developed a method called FERNET (Fluorescence Emission Recipes and Numerical routines Toolkit) based on Monte Carlo simulations and the MCell-Blender platform, which was designed to treat the reaction-diffusion problem under realistic scenarios. This method enables us to set complex geometries of the simulation space, distribute molecules among different compartments, and define interspecies reactions with selected kinetic constants, diffusion coefficients, and species brightness. We apply this method to simulate single- and multiple-point FCS, photon-counting histogram analysis, raster image correlation spectroscopy, and two-color fluorescence cross-correlation spectroscopy. We believe that this new program could be very useful for predicting and understanding the output of fluorescence microscopy experiments. © 2015 Biophysical Society. |
author |
Mocskos, Esteban Eduardo Levi, Valeria |
author_facet |
Mocskos, Esteban Eduardo Levi, Valeria |
author_sort |
Mocskos, Esteban Eduardo |
title |
Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments |
title_short |
Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments |
title_full |
Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments |
title_fullStr |
Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments |
title_full_unstemmed |
Exploring the Dynamics of Cell Processes through Simulations of Fluorescence Microscopy Experiments |
title_sort |
exploring the dynamics of cell processes through simulations of fluorescence microscopy experiments |
publishDate |
2015 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00063495_v108_n11_p2613_Angiolini http://hdl.handle.net/20.500.12110/paper_00063495_v108_n11_p2613_Angiolini |
work_keys_str_mv |
AT mocskosestebaneduardo exploringthedynamicsofcellprocessesthroughsimulationsoffluorescencemicroscopyexperiments AT levivaleria exploringthedynamicsofcellprocessesthroughsimulationsoffluorescencemicroscopyexperiments |
_version_ |
1768541778509561856 |