Cargando…

Quantitative diffusion measurements using the open-source software PyFRAP

Fluorescence Recovery After Photobleaching (FRAP) and inverse FRAP (iFRAP) assays can be used to assess the mobility of fluorescent molecules. These assays measure diffusion by monitoring the return of fluorescence in bleached regions (FRAP), or the dissipation of fluorescence from photoconverted re...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bläßle, Alexander, Soh, Gary, Braun, Theresa, Mörsdorf, David, Preiß, Hannes, Jordan, Ben M., Müller, Patrick
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5910415/ https://www.ncbi.nlm.nih.gov/pubmed/29679054 http://dx.doi.org/10.1038/s41467-018-03975-6

Ejemplares similares

FRAP to Characterize Molecular Diffusion and Interaction in Various Membrane Environments
por: Pincet, Frédéric, et al.
Publicado: (2016)

Scale-invariant patterning by size-dependent inhibition of Nodal signalling
por: Almuedo-Castillo, María, et al.
Publicado: (2018)

CyberSco.Py an open-source software for event-based, conditional microscopy
por: Chiron, Lionel, et al.
Publicado: (2022)

Evaluation of Pulsed-FRAP and Conventional-FRAP for Determination of Protein Mobility in Prokaryotic Cells
por: Mika, Jacek T., et al.
Publicado: (2011)

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience
por: Van Geit, Werner, et al.
Publicado: (2016)

pyPhotometry: Open source Python based hardware and software for fiber photometry data acquisition
por: Akam, Thomas, et al.
Publicado: (2019)

Direct Measurement of Diffusion in Olfactory Cilia Using a Modified FRAP Approach
por: Alevra, Mihai, et al.
Publicado: (2012)

Quantitation of Glucocorticoid Receptor DNA-Binding Dynamics by Single-Molecule Microscopy and FRAP
por: Groeneweg, Femke L., et al.
Publicado: (2014)

Dissection of cell cycle–dependent dynamics of Dnmt1 by FRAP and diffusion-coupled modeling
por: Schneider, Katrin, et al.
Publicado: (2013)

PsychoPy—Psychophysics software in Python
por: Peirce, Jonathan W.
Publicado: (2007)

Regulation of Nodal signaling propagation by receptor interactions and positive feedback
por: Preiß, Hannes, et al.
Publicado: (2022)

PyBus -- A Python Software Bus
por: Lavrijsen, W
Publicado: (2005)

Tuning Protein Diffusivity with Membrane Tethers
por: Mörsdorf, David, et al.
Publicado: (2018)

PySOFI: an open source Python package for SOFI
por: Miao, Yuting, et al.
Publicado: (2022)

py2DIC: A New Free and Open Source Software for Displacement and Strain Measurements in the Field of Experimental Mechanics †
por: Belloni, Valeria, et al.
Publicado: (2019)

PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media
por: Aboulhassan, Amal, et al.
Publicado: (2022)

A New FRAP/FRAPa Method for Three-Dimensional Diffusion Measurements Based on Multiphoton Excitation Microscopy
por: Mazza, Davide, et al.
Publicado: (2008)

A two-photon FRAP protocol to measure the stereociliary membrane diffusivity in rat cochlear hair cells
por: George, Shefin S., et al.
Publicado: (2021)

sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker
por: Rhodes, Oliver, et al.
Publicado: (2018)

FRAP Analysis: Accounting for Bleaching during Image Capture
por: Wu, Jun, et al.
Publicado: (2012)

In vivo Study of the Histone Chaperone Activity of Nucleolin by FRAP
por: Gaume, Xavier, et al.
Publicado: (2011)

Universal Approach to FRAP Analysis of Arbitrary Bleaching Patterns
por: Blumenthal, Daniel, et al.
Publicado: (2015)

Validation of Normalizations, Scaling, and Photofading Corrections for FRAP Data Analysis
por: Kang, Minchul, et al.
Publicado: (2015)

Approach to Optimization of FRAP Methodology for Studies Based on Selected Monoterpenes
por: Wojtunik-Kulesza, Karolina A.
Publicado: (2020)

Oxidative stress and biomarker of TNF-α, MDA and FRAP in hypertension
por: Verma, Manish Kumar, et al.
Publicado: (2019)

Mobility of kinetochore proteins measured by FRAP analysis in living cells
por: Watanabe, Reito, et al.
Publicado: (2022)

FRAP Analysis on Red Alga Reveals the Fluorescence Recovery Is Ascribed to Intrinsic Photoprocesses of Phycobilisomes than Large-Scale Diffusion
por: Liu, Lu-Ning, et al.
Publicado: (2009)

PyNomo software dataset for sciences and engineering nomogram construction
por: Martínez-Pagán, Pedro, et al.
Publicado: (2022)

PyRAT: An Open-Source Python Library for Animal Behavior Analysis
por: De Almeida, Tulio Fernandes, et al.
Publicado: (2022)

Photoswitching-Free FRAP Analysis with a Genetically Encoded Fluorescent Tag
por: Morisaki, Tatsuya, et al.
Publicado: (2014)

Distinct modes of perimembrane TRP channel turnover revealed by TIR-FRAP
por: Ghosh, Debapriya, et al.
Publicado: (2014)

Advanced Fluorescence Microscopy Techniques—FRAP, FLIP, FLAP, FRET and FLIM
por: Ishikawa-Ankerhold, Hellen C., et al.
Publicado: (2012)

Theoretical model of mitotic spindle microtubule growth for FRAP curve interpretation
por: Omelyanchuk, Leonid V., et al.
Publicado: (2017)

Salivary FRAP as A Marker of Chronic Kidney Disease Progression in Children
por: Maciejczyk, Mateusz, et al.
Publicado: (2019)

Protocol for detecting chromatin dynamics and screening chromatin relaxer by FRAP assay
por: Long, Qi, et al.
Publicado: (2021)

The Utility of Fluorescence Recovery after Photobleaching (FRAP) to Study the Plasma Membrane
por: Day, Charles A., et al.
Publicado: (2023)

NEuronMOrphological analysis tool: open-source software for quantitative morphometrics
por: Billeci, Lucia, et al.
Publicado: (2013)

PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction
por: Bao, Forrest Sheng, et al.
Publicado: (2011)

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis
por: Giannakopoulos, Theodoros
Publicado: (2015)

PyLandStats: An open-source Pythonic library to compute landscape metrics
por: Bosch, Martí
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_nne1f5ouukc6m4lkoi55a0vlga