User interface for a flow cytometer system

• US 8,229,707 B2
• Filed: 07/04/2011
• Issued: 07/24/2012
• Est. Priority Date: 08/22/2005
• Status: Active Grant

• Current Assignee: Accuri Cytometers, Inc. (Becton Dickinson & Co)
• Original Assignee: Accuri Cytometers, Inc. (Becton Dickinson & Co)
• Inventors: Olson, David, Rich, Collin A., Goebel, Clement James III
• Primary Examiner(s): Wachsman, Hal
• Application Number:
  US13/175,926
• Publication Number:
  US 20120004859A1
• Time in Patent Office: 386 Days
• Field of Search: 702/189, 702/45, 702/21, 702/32
• US Class Current: 702/189
• CPC Class Codes: G01N 15/1429 Signal processing
• CPC Class Codes: G01N 35/00712 Automatic status testing, e.g. at start-up or periodic
• CPC Class Codes: G01N 35/0092 Scheduling

Abstract

A method of extracting and analyzing a data set from a flow cytometer system of the preferred embodiment comprises the steps of (1) running a sample and saving all collected raw data, (2) viewing raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified data, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified data, and exporting the saved data as many times as necessary and/or desirable.

Claims

1. A method of extracting and manipulating data from a flow cytometer system comprising:

collecting a full dynamic range of input signals from a flow cytometer sample into an initial data set that includes at least a 1;

100,000 ratio between the faintest objects and the brightest objects;

storing the initial data set of the full dynamic range of the input signals from the flow cytometer sample;

allowing modification of the initial data set to manipulate the initial data set across the range of input signals from the flow cytometer sample; and

storing the modified data set.

2. The method of claim 1, wherein collecting the full dynamic range of input signals includes collecting the full dynamic range of input signals to an initial data set that includes at least a 1:

1,000,000 ratio between the faintest objects and the brightest objects.

3. The method of claim 1, further comprising displaying the initial data set on a user interface.

4. The method of claim 3, wherein displaying the initial data set includes permitting a user to observe the initial data set from the full dynamic range of input signals and permitting the user to identify the appropriate modifications for the initial data set.

5. The method of claim 3, wherein displaying the initial data set includes acquiring the initial data set from the flow cytometer system coupled to the user interface and displaying the acquired initial data set on the user interface.

6. The method of claim 1, further comprising exporting at least one of the stored initial data set and the stored modified data set to a different medium than the flow cytometer system.

7. The method of claim 6, wherein exporting at least one of the stored initial data set and the stored modified data set includes permitting a user to transfer the modified data set from the flow cytometer system to a different medium.

8. The method of claim 1, wherein allowing modification of the initial data set includes permitting a user to identify the modifications made to the initial data set.

9. The method of claim 1, wherein collecting the full dynamic range of input signals includes collecting the full dynamic range of input signals to an initial data set with an error rate induced by electric noise of less than one percent.

10. The method of claim 1, wherein collecting the full dynamic range of input signals includes collecting the input signals without accepting a gain amplification level selection from a user.

11. The method of claim 1, wherein storing an initial data set includes storing to an electronic storage unit.

12. The method of claim 1, wherein allowing modification of the initial data set includes permitting a user to manipulate the initial data set across the full dynamic range of input signals from the flow cytometer sample and to generate the modified data set.

13. The method of claim 12, wherein allowing modification of the initial data set further includes permitting the user to

perform real-time comparisons between the initial data set and the modified data set on a single flow cytometer sample.

14. The method of claim 12, wherein allowing modification of the initial data set further includes permitting the user to adjust the bounds of the data in the initial data set.

15. The method of claim 12, wherein allowing modification of the initial data set further includes permitting the user to adjust or undo modifications, to make multiple adjustments on the same initial data set.

16. The method of claim 12, wherein allowing modification of the initial data set further includes permitting the user to generate at least one subset of data that corresponds to one or more sample populations contained within the initial data set.

17. The method of claim 1, wherein allowing modification of the initial data set further includes permitting a user to store settings used to generate a desired subset of data.

18. The method of claim 17, wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.

19. The method of claim 17, wherein allowing modifications of the initial data set further includes applying hierarchical scaling factors to independent data channels.

20. The method of claim 17, wherein storing the modified data set further includes permitting the user to sequentially access previously stored modifications made to the subset of data in the settings.

21. The method of claim 17, wherein storing the modified data set further includes at least one of storing modification parameters corresponding to the modified data set and storing other pertinent information regarding the sample or data acquisition.

22. The method of claim 1, wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.

23. The method of claim 22, wherein utilizing a graphical, menu-driven format includes displaying, in separate graph frames, separate graphs that are generated from the initial data set and the modified data set.

24. The method of claim 22, wherein utilizing a graphical, menu-driven format includes superimposing the initial data set and the modified data set on one another and displaying and distinguishing the data sets in the same graph frame.

25. The method of claim 22, wherein utilizing a graphical, menu-driven format includes displaying, in independent planes of the same graph frame, the consequences of each modification applied to the initial data set in the generation of the modified data set.

26. The method of claim 1, wherein allowing modification of the initial data set further includes utilizing a numerical display format.

27. A method of extracting and manipulating data from a flow cytometer system comprising:

collecting a full dynamic range of input signals from a flow cytometer sample into an initial data set;

storing the initial data set of the full dynamic range of the input signals from the flow cytometer sample;

allowing modification of the initial data set to manipulate the initial data set across the range of input signals from the flow cytometer sample, including permitting a user to identify the modifications made to the initial data set and permitting a user to store settings used to generate a desired subset of data from the initial data set; and

storing the modified data set.