Fluorescence recovery after photobleaching data analysis software tools | Advanced fluorescence microscopy
Fluorescence recovery after photobleaching (FRAP) is now widely used to investigate binding interactions in live cells. Although various idealized solutions have been identified for the reaction-diffusion equations that govern FRAP, there has been no comprehensive analysisor systematic approach to serve as a guide for extracting binding information from an arbitrary FRAP curve.
Analyzes, processes and visualizes multi-dimensional microscopy images. BioImageXD puts open-source computer science tools for three-dimensional visualization and analysis into the hands of all researchers, through a user-friendly graphical interface tuned to the needs of biologists. BioImageXD has no restrictive licenses or undisclosed algorithms and enables publication of precise, reproducible and modifiable workflows. It allows simple construction of processing pipelines and should enable biologists to perform challenging analyses of complex processes.
Allows users to analyze fluorescence recovery after photobleaching (FRAP) datasets by firstly, normalizing the overall bleaching and then by, fitting one- or two- component exponential curve to study the fluorescence recovery profile.
Identifies cells of interest on imaging of large cell numbers in quantitative microscopy. Micropilot can automatically process complex fluorescence microscopy-based imaging assays. Users can train the software to detect objects in a fast low-resolution prescanning mode. This software is able to execute more complex imaging assays on selected object positions by following an online reconfiguration of the microscope system.
Evaluates fitting fluorescence recovery after photobleaching (FRAP) curves to quantitatively estimate parameters of protein dynamics. FRAPCalc offers several features like three different ways of normalizing FRAP, curve correction for the acquisition bleaching, weighting for the fitting, evaluation of goodness of fit by chi-square and gamma function or batch fitting for automated averaging of many curves.
Allows computation of diffusion coefficients regardless of bleaching geometry used in the Fluorescence Recovery After Photobleaching (FRAP) series. simFRAP implements a generalized algorithm, for any FRAP geometry, that assumes pure diffusion in two dimensions. The software can facilitate quantitative FRAP measurements for users equipped with standard fluorescence microscopy setups.
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