Data compensation software tools | Flow cytometry analysis
The term “compensation,” as it applies to flow cytometric analysis, refers to the process of correcting for fluorescence spillover, i.e., removing the signal of any given fluorochrome from all detectors except the one devoted to measuring that dye. The process of compensation is relatively simple in theory—but there are many subtle aspects that render it much more complex in practice.
A flow cytometry data analysis software.. FlowJo contains a list of loaded samples (experimental data), statistics, gates, and other analyses, as well as tabular and graphical layouts. FlowJo provides features and tools for the creation of histogram and other plot overlays, cell cycle analysis, calcium flux analysis, proliferation analysis, quantitation, cluster identification and backgating display.
Assists users to handle their own data. BD FACSDiva provides a list of tools simplifying the creation of experiments. These different functions concern: (1) data reporting; (2) data acquisition; (3) data analysis; and (4) data management. It provides an assortment of functions that allows users to run manual or batch analysis and includes applications for single-cell or index sorting for stem cell. It can supports more than 10 types of cytometers.
An R package containing two methods to clean flow cytometry files from unwanted events: A) an automatic method that adopts algorithms for the detection of anomalies, B) an interactive method with a graphical user interface implemented into an R shiny application. The general approach behind the two methods consists of three key steps to check and remove suspected anomalies that derive from 1) abrupt changes in the flow rate, 2) instability of signal acquisition, 3) outliers in the lower limit and margin events in the upper limit of the dynamic range. For each file analyzed our software generates a summary of the quality assessment from the aforementioned steps. The software presented is an intuitive solution seeking to improve the results not only of manual but also and in particular of automatic analysis on flow cytometry data. We recommend the usage of flowAI as a first preprocessing step of the data right after they are obtained from the flow cytometry instrument so that all the downstream analyses, from compensation to detection or rare cells, will benefit from it.
Creates methods and data structures for processing large, plate-based FCM data sets by taking advantage of the functionality in flowCore and flowViz. plateCore makes it easier to integrate textual descriptions of plate layouts and also to perform automated gating based on nonparametric analysis of negative control wells.
Manages subsets into a given sample. AutoGate automates the definition of subsets in a model and applies computational methods to define and display statistically valid subsets derived from the submitted data at each analysis. The program furnishes functions for detection, comparison and visualization and allows users to sequentially visualize data and select subsets, and to define and apply gating models.
Enables user-defined experimental analysis via a graphical interface. Attune NxT Software permits to adjust flow rates, compensation and voltages. It can also automate maintenance and instrument performance monitoring. It simplifies data acquisition with a dashboard that provides viewing acquisition status and setting acquisition stopping criteria. This application is used to operate and maintain the Attune NxT acoustic focusing cytometer.
Performs flow cytometry data analysis. Flowing Software provides a set of features able to generate a wide range of plots such as overlay histograms or dot plots. The application also furnishes advanced functions for statistics as well as an event number reducers and various calculators and updaters. The platform can support different standard flow cytometry formats and is also able to handle statistics imported from external software.