Utilizing BD FACS Sortware Designed with You in Mind

BD FACS™ Sortware sorter software is the first software specifically created to support cell sorters. The software provides comprehensive control of the cell sorter from configuration and compensation setup to acquisition, sorting, and analysis.

A better level of control

The software makes it easy for researchers to control the instrument. When the BD FACSJazz™ is in a biological safety cabinet, this comprehensive software control enables the operator to remotely control essential functions such as starting or stopping the fluidics to minimize direct interaction with the instrument.

To maximize reproducibility and accelerate experimental studies, researchers can save and recall previous configurations, instrument states, and parameter settings. A multitasking capability allows researchers to sort cells from a sample, record the information in a data file, and work with a previous data file—all at the same time.

Intuitive workflow

BD FACS Sortware software’s simple, intuitive workflow, and its familiar Microsoft® Windows® interface, allow researchers to focus on their experiment rather than on commands and dialog boxes. Researchers can perform cytometer setup, compensation, data acquisition, gating, analysis, and sorting progressively—or they can choose to return to any step for instant adjustment.

Software controls assist researchers to classify cell populations, perform compensation, monitor sorting, and analyze results. A hierarchical gating structure also makes it easy and intuitive to classify cell populations. In addition, sort controls and event counters are used to monitor sorting, with the ability to pause, resume, reset, and stop the sort streams individually or all at once.

Data and sort analysis tools provide robust, real-time statistics on cell populations and sorting quality control at the individual cell level.

Powerful, intuitive analysis

To support analysis, BD FACS Sortware lets researchers visualize data from experiments in a variety of rich output formats including histograms; overlay histograms; and dot, density, and contour plots—all with linear, log, or biexponential (logicle) scaling.

Graphical data and text can be exported into standard productivity software with drag and drop ease of use for presentation or publication. Results can also be exported and imported as FCS (flow cytometry standard) data files for use with other software applications.

Flow phenotype correlated with gene expression utilizing index sorting
Flow phenotype correlated with gene expression utilizing index sorting
Eighty-four single cells were selected at random to be sorted into a 96-well plate, with a BD FACSJazz, from an unequal mixed population of two cell lines, KG2A and Jurkat, while simultaneously capturing and recording their surface marker staining. Using the index sort feature of BD FACS Sortware, the surface phenotype of a single cell in any well coordinate can be referenced. Subsequent single cell analysis for gene expression (using the Fluidigm Biomark™ HD gene expression platform) for the 84 single cells demonstrated exact correlation between cell types predicted by both technologies. There are 6 single KG2A cells and 78 single Jurkat cells (well locations indicated). Antibodies used were CD2 APC and CD34 PE-Cy7.
Gene expression data (96 simultaneous gene expression targets for each cell) courtesy of Fluidigm Corporation, South San Francisco, CA, USA.

Make exploratory cloning more efficient with index sorting

Index sorting functionality has been completely re-written and extended to put a very powerful analytical technique in the hands of researchers. It is now possible to review the complete flow phenotype of every cell sorted into a multiposition sort device, such as a 96-well tray. Index sort mode creates an FCS file containing all the sort deposition information and tray position information on an event-by-event basis. Each sorted event in the file is “indexed” one-by-one according to the X and Y coordinates of the sort collection device. Post-sorting results can be precisely traced back to the flow characteristics of the specific cell or combinations of cells sorted.

Six-color immunophenotyping
Six-color immunophenotyping
Human peripheral blood lymphocytes stained with six cell-surface markers analyzed with BD FACS™ Sortware (BD FACSJazz with 488-nm, 640-nm, and 405-nm lasers).
A. Histogram
Histograms show cell counts for a single scatter or fluorochrome variable.
B. Dot plot
Dot plots show two variables plotted against each other, useful for identifying subpopulations.
C. Overlay histogram
Overlay histograms show cell counts for a variable, such as fluorescence, for multiple subpopulations.
D. Density plot
Density plots show two variables plotted against each other using color to illustrate heavily concentrated events.
E. Contour plot
Like density plots, contour plots show two variables plotted against each other, but instead use topographic lines to show the boundaries of populations.
F. Analysis of contour plot
Employ topographic lines to define subpopulations or move the cursor over a topographic line for instantaneous subpopulation statistics.

BioMark is a trademark of Fluidigm Corporation.

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