Volocity Quantitation

Volocity Quantitation provides a comprehensive range of options to analyze structure and function in 3D and 4D image data. Objects can be identified, measured and tracked in 2D, 3D and 4D. Objects and tracks can be viewed as overlays to image data - ideal for relating structure to function, especially in time lapse data sets. This product includes functionality to analyze colocalization, ratioed images and FRET images. You can also create 2D charts and graphs from your measurements, or even 3D interactive charts for a greater understanding of your results.

Discover powerful measurement, tracking and charting features that will help you gain high quality quantitative date for publication. Watch the tutorial now

Volocity Quantitation works by creating a measurement protocol to detect the objects that you wish to measure or track. The protocol is made step-by-step using a combination of criteria – intensity, size and shape are just some of the options you can include. Feedback to your images is displayed in the Measurement view so that you can refine your protocol quickly and easily. Protocols can be saved and applied to multiple volumes as a batch process.

Volocity Quantitation includes a powerful suite of tools to analyze your measurements. The results generated by the measurement protocol are stored in an analysis table. This provides the ability to summarize and extract data from your measurements; for example you may wish to analyze your data for patterns of change in intensity or volume over time at selected points; once the measurements have been made on the sequential volumes, the analysis table will allow the data to be extracted quickly and easily.

Volocity Quantitation provides tracking data including velocity and distance traveled. For convenience each object track is identified by a number and a color in the Measurements table and tracking can be performed both automatically and manually. Volocity Quantitation can quickly and accurately track several hundred objects within a data set.

Tracks can be viewed as feedback to the image data, to help you to relate structure to function. If you are working with 3D data and have Volocity Visualization as well, the feedback overlay will be displayed on the 3D volume for a better understanding of events.