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.

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Autores principales:	Alexander Bläßle, Gary Soh, Theresa Braun, David Mörsdorf, Hannes Preiß, Ben M. Jordan, Patrick Müller
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9f8f9734505044aab1244113059f049a
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spelling	oai:doaj.org-article:9f8f9734505044aab1244113059f049a2021-12-02T15:34:24ZQuantitative diffusion measurements using the open-source software PyFRAP10.1038/s41467-018-03975-62041-1723https://doaj.org/article/9f8f9734505044aab1244113059f049a2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03975-6https://doaj.org/toc/2041-1723FRAP 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.Alexander BläßleGary SohTheresa BraunDavid MörsdorfHannes PreißBen M. JordanPatrick MüllerNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Alexander Bläßle Gary Soh Theresa Braun David Mörsdorf Hannes Preiß Ben M. Jordan Patrick Müller Quantitative diffusion measurements using the open-source software PyFRAP
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.
format	article
author	Alexander Bläßle Gary Soh Theresa Braun David Mörsdorf Hannes Preiß Ben M. Jordan Patrick Müller
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 Portfolio
publishDate	2018
url	https://doaj.org/article/9f8f9734505044aab1244113059f049a
work_keys_str_mv	AT alexanderblaßle quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap AT garysoh quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap AT theresabraun quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap AT davidmorsdorf quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap AT hannespreiß quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap AT benmjordan quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap AT patrickmuller quantitativediffusionmeasurementsusingtheopensourcesoftwarepyfrap
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Quantitative diffusion measurements using the open-source software PyFRAP

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