Frapbot: An open‐source application for FRAP data

We introduce Frapbot, a free‐of‐charge open source software web application written in R, which provides manual and automated analyses of fluorescence recovery after photobleaching (FRAP) datasets. For automated operation, starting from data tables containing columns of time‐dependent intensity valu...

Full description

Saved in:
Bibliographic Details
Published inCytometry. Part A Vol. 91; no. 8; pp. 810 - 814
Main Authors Kohze, Robin, Dieteren, Cindy E.J., Koopman, Werner J.H., Brock, Roland, Schmidt, Samuel
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.08.2017
Subjects
Algorithms
Automation
Cytometry
Data processing
Data recovery
Fluorescence
Fluorescence recovery after photobleaching
Fluorescence Recovery After Photobleaching - methods
Frapbot
Freeware
Geographical variations
Object recognition
Open source software
Pattern recognition
Photobleaching
R language
Software
web‐application
R language
web-application
Frapbot
fluorescence recovery after photobleaching
pattern recognition
Online AccessGet full text

Cover

More Information
Summary:We introduce Frapbot, a free‐of‐charge open source software web application written in R, which provides manual and automated analyses of fluorescence recovery after photobleaching (FRAP) datasets. For automated operation, starting from data tables containing columns of time‐dependent intensity values for various regions of interests within the images, a pattern recognition algorithm recognizes the relevant columns and identifies the presence or absence of prebleach values and the time point of photobleaching. Raw data, residuals, normalization, and boxplots indicating the distribution of half times of recovery (t1/2) of all uploaded files are visualized instantly in a batch‐wise manner using a variety of user‐definable fitting options. The fitted results are provided as .zip file, which contains .csv formatted output tables. Alternatively, the user can manually control any of the options described earlier. © 2017 International Society for Advancement of Cytometry
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1552-4922
1552-4930
DOI:10.1002/cyto.a.23172