Quantitative diffusion measurements using the open-source software PyFRAP

Quantitative diffusion measurements using the open-source software PyFRAP

FRAP analysis often relies on simplified assumptions that can affect measurement accuracy. Here the authors present a Python-based FRAP analysis software using simulations instead of simplified theoretical models to fit the data, which accounts for complex sample geometries and bleach conditions.

Bibliographic Details
Main Authors: Alexander Bläßle, Gary Soh, Theresa Braun, David Mörsdorf, Hannes Preiß, Ben M. Jordan, Patrick Müller
Format: Article
Language:English
Published: Nature Publishing Group 2018-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-03975-6
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spelling doaj-9f8f9734505044aab1244113059f049a2021-05-11T10:01:51ZengNature Publishing GroupNature Communications2041-17232018-04-019111410.1038/s41467-018-03975-6Quantitative diffusion measurements using the open-source software PyFRAPAlexander Bläßle0Gary Soh1Theresa Braun2David Mörsdorf3Hannes Preiß4Ben M. Jordan5Patrick Müller6Friedrich Miescher Laboratory of the Max Planck SocietyFriedrich Miescher Laboratory of the Max Planck SocietyFriedrich Miescher Laboratory of the Max Planck SocietyFriedrich Miescher Laboratory of the Max Planck SocietyFriedrich Miescher Laboratory of the Max Planck SocietyDepartment of Organismic and Evolutionary Biology, Harvard UniversityFriedrich Miescher Laboratory of the Max Planck SocietyFRAP analysis often relies on simplified assumptions that can affect measurement accuracy. Here the authors present a Python-based FRAP analysis software using simulations instead of simplified theoretical models to fit the data, which accounts for complex sample geometries and bleach conditions.https://doi.org/10.1038/s41467-018-03975-6
collection DOAJ
language English
format Article
sources DOAJ
author Alexander Bläßle
Gary Soh
Theresa Braun
David Mörsdorf
Hannes Preiß
Ben M. Jordan
Patrick Müller
spellingShingle Alexander Bläßle
Gary Soh
Theresa Braun
David Mörsdorf
Hannes Preiß
Ben M. Jordan
Patrick Müller
Quantitative diffusion measurements using the open-source software PyFRAP
Nature Communications
author_facet Alexander Bläßle
Gary Soh
Theresa Braun
David Mörsdorf
Hannes Preiß
Ben M. Jordan
Patrick Müller
author_sort Alexander Bläßle
title Quantitative diffusion measurements using the open-source software PyFRAP
title_short Quantitative diffusion measurements using the open-source software PyFRAP
title_full Quantitative diffusion measurements using the open-source software PyFRAP
title_fullStr Quantitative diffusion measurements using the open-source software PyFRAP
title_full_unstemmed Quantitative diffusion measurements using the open-source software PyFRAP
title_sort quantitative diffusion measurements using the open-source software pyfrap
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2018-04-01
description FRAP analysis often relies on simplified assumptions that can affect measurement accuracy. Here the authors present a Python-based FRAP analysis software using simulations instead of simplified theoretical models to fit the data, which accounts for complex sample geometries and bleach conditions.
url https://doi.org/10.1038/s41467-018-03975-6
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