GemStone

Data Analysis & Visualization Software

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This website offers a range of software tools for cytometry, including GemStone, ModFit LT, and WinList, designed to improve data analysis and visualization. Users can find updates, resources, and support for these applications, along with new features and improvements to streamline their workflow.

GemStone can be found in Data Analysis & Visualization Software categories.

The most similar products to GemStone are:

ReciPal Promoted → FCS Express → FlowView → Applied Cytometry → Astrolabe →

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Details

GemStone Main Features

• ModFit™
  ModFit allows for automatic and objective analysis of flow and mass cytometry using a special modeling method.
• WinList™
  WinList is the standard tool for analyzing DNA cell cycles and studying cell growth quickly and easily.
• GemStone™
  GemStone 2.1 is a free update that improves user experience with friendly guides and beautiful graphics, making analysis easier.
• Sticky Regions
  WinList has improved sticky regions that help keep your analysis areas in place while you work.
• Contour Regions
  Contour regions in WinList help to visualize data better by showing the shape of data distributions.
• Automated Analysis
  GemStone helps set up automatic analysis, so you don't have to do it manually, saving you time.
• Application Examples
  New examples show how to use ModFit LT for modeling the cell cycle in yeast, helping users learn.
• New Videos for WinList
  There are new instructional videos available to help users understand features like Cen-se and N-Color compensation.
• Large Data File Support
  WinList can handle very large data files efficiently, so you can work with big datasets without issues.
• N-Color™ Compensation
  This feature improves the analysis of complex data files from different sources, making results clearer.
• High-DPI Monitor Support
  WinList 10.1 works well with high-resolution screens, making it easier to see details.
• Cen-se' Dimensionality Reduction
  This feature helps to reduce the complexity of data and visualize it better with clear graphics.

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Technologies Used

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