🔸 This is actual program, full version. After purchasing you will receive installation file + license file (patch) for lifetime activation.
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🔸 This particular version can not be updated❗
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🔸 Download FIle Size: 315 MB
🔸 Program available only for Windows OS
FlowJo v10 is a powerful, user-friendly software platform designed for the analysis of flow cytometry data, widely used in immunology, cancer research, stem cell biology, and other life science fields. Developed by BD Biosciences, FlowJo enables researchers to visualize, quantify, and interpret complex cellular data from FCS files, supporting both conventional and high-dimensional cytometric experiments.
The intuitive drag-and-drop workspace, rich graphing tools, and integration with advanced analysis algorithms make it a standard in cytometry labs worldwide.
Comprehensive Flow Cytometry Analysis
Supports a wide range of analysis workflows including gating, compensation, and population comparison.
High-Dimensional Data Tools
Built-in support for t-SNE, UMAP, FlowSOM, and clustering for advanced data reduction and visualization.
Flexible Gating Interface
Easily create, adjust, and manage complex gating strategies using an intuitive graphical interface.
Customizable Reports and Graphs
Generate publication-quality plots, histograms, overlays, and statistics with customizable export options.
Plug-In Architecture
Extend functionality with plug-ins for specialized tasks like cell cycle modeling, proliferation tracking, and kinetics.
Batch Processing and Automation
Apply templates across large sample sets for efficient, reproducible analyses.
FCS Compatibility
Fully compatible with standard FCS 2.0, 3.0, and 3.1 file formats from most cytometers.
Integrated Data Management
Organize experiments, samples, and analyses in a structured, searchable workspace.
Collaboration-Friendly
Save and share workspaces, analysis templates, and results among research teams.
Cross-Platform Support
Available for both Windows and macOS environments.
FlowJo v10 is ideal for biomedical researchers, clinical scientists, and cytometry core facilities seeking a robust and scalable platform for detailed cellular analysis and discovery.
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