User interface for a flow cytometer system

• US 7,996,188 B2
• Filed: 08/22/2006
• Issued: 08/09/2011
• 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: Rich, Collin A., Olson, David, Goebel, Clement James III
• Primary Examiner(s): Wachsman; Hal D
• Application Number:
  US11/466,391
• Publication Number:
  US 20080228444A1
• Time in Patent Office: 1,813 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 analyzing a data set from a flow cytometer system comprising:

collecting a full dynamic range of input signals from a flow cytometer sample;

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

displaying the initial data set on a user interface;

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

saving the modified data set; and

exporting the saved data set to a different medium than the flow cytometer system;

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 a 1;

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

2. The method of claim 1 wherein collecting the full dynamic range of input signals further 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.

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

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

5. The method of claim 1 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.

6. The method of claim 1 wherein exporting the saved data set includes permitting a user to transfer at least one of the initial data set and the modified data set from the flow cytometer method to the different medium.

7. 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 a modified data set.

8. The method of claim 7 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,

adjust or undo modifications, to make multiple adjustments on the same initial data set, and

generate at least one subset of data that corresponds to one or more sample populations contained within the initial data set.

9. The method of claim 1 wherein allowing modification of the initial data set further includes permitting a user to identify the modifications made to the initial data set and to store settings used to generate a desired subset of data.

10. The method of claim 9 wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.

11. The method of claim 9 wherein allowing modification of the initial data set further includes applying hierarchical scaling factors to independent data channels.

12. The method of claim 9 wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.

13. A method of extracting and analyzing a data set from a flow cytometer system comprising:

collecting a full dynamic range of input signals from a flow cytometer sample;

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

displaying the initial data set on a user interface;

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

saving the modified data set; and

exporting the saved data set to a different medium than the flow cytometer system;

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 a modified data set, 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,

adjust or undo modifications, to make multiple adjustments on the same initial data set, and

generate at least one subset of data that corresponds to one or more sample populations contained within the initial data set.

14. The method of claim 13 wherein allowing modification of the initial data set further includes permitting the user to adjust the bounds of the data.

15. The method of claim 13 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 a 1:

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

16. The method of claim 15 wherein collecting the full dynamic range of input signals further 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.

17. The method of claim 13 wherein collecting the full dynamic range input signals further includes collecting the input signals without accepting a gain amplification level selection from a user.

18. The method of claim 13 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.

19. The method of claim 18 wherein allowing modification of the initial data set further includes permitting a user to identify the modifications made to the initial data set and to store settings used to generate a desired subset of data.

20. The method of claim 19 wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.

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

22. The method of claim 13 wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.

23. A method of extracting and analyzing a data set from a flow cytometer system comprising:

collecting a full dynamic range of input signals from a flow cytometer sample;

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

displaying the initial data set on a user interface;

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

saving the modified data set; and

exporting the saved data set to a different medium than the flow cytometer system;

wherein allowing modification of the initial data set further includes permitting a user to identify the modifications made to the initial data set and to store settings used to generate a desired subset of data.

24. The method of claim 23 wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.

25. The method of claim 23 wherein allowing modifications of the initial data set further includes applying hierarchical scaling factors to independent data channels.

26. The method of claim 23 wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.

27. The method of claim 26 wherein utilizing a graphical, menu-driven format includes displaying separate graphs that are generated from the initial data set and the modified data set in separate frames.

28. The method of claim 26 wherein utilizing a graphical, menu-driven format includes superimposing the initial data set and the modified data set on one another and displaying them in the same graph frame, distinguishing each data set.

29. The method of claim 26 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.

30. The method of claim 23 wherein allowing modification of the initial data set further includes utilizing a numerical display format.

31. The method of claim 23 wherein saving the modified data set further includes permitting the user to sequentially access the previously saved alterations made to the subset of data in the settings.

32. The method of claim 23 wherein saving the modified data set further includes saving the corresponding modification parameters and saving other pertinent information regarding the sample or data acquisition.

33. The method of claim 23 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 a 1:

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

34. The method of claim 23 wherein collecting the full dynamic range of input signals further 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.

35. The method of claim 23 wherein collecting the full dynamic range input signals further includes collecting the input signals without accepting a gain amplification level selection from a user.

36. The method of claim 35 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.