Data analysis | Fluorescence recovery after photobleaching
Fluorescence recovery after photobleaching (FRAP) is a fluorescence microscopy technique to measure the kinetic of molecular diffusion though tissue or cells. Usually, a molecule of interest is labeled with a fluorescent probe (or fused with a fluorescent reporter) and then an area is photobleached with a laser to inhibit fluorescence and observe its recovery, a sign of molecule redistribution. This technique is commonly used to study protein mobility, cellular exchanges, and protein binding. FRAP software tools are used for data normalization, visualization, simulation of 3 dimensional models, and more.
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.
Provides assistance for the qualitative and quantitative analysis of fluorescence recovery after photobleaching (FRAP) data. easy-FRAP allows data visualization, normalization of the raw recovery curves and curve fitting. This software can also exploit large data sets of raw data under different experimental conditions, exclude low quality data and perform batch analysis. All of this tasks can be run simultaneously.
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.
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.
Manages instrument control, image processing and data analysis. SlideBook can drive hundreds of devices including microscopes, stages, lasers, wheels, piezos, scanners or shutters. It acquires data in 3D format over time, color, and specimen locations in customizable experiment protocols. This tool offers a solution to investigate images and obtain statistical data via a wide variety of algorithms while maintaining original data integrity.
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.