System and method for creating a flow cytometer network

• US 9,551,600 B2
• Filed: 06/14/2011
• Issued: 01/24/2017
• Est. Priority Date: 06/14/2010
• Status: Active Grant

• Current Assignee: Accuri Cytometers, Inc. (Becton, Dickinson & Co)
• Original Assignee: Accuri Cytometers, Inc. (Becton, Dickinson & Co)
• Inventors: Howes, Grant C., Rich, Collin A.
• Primary Examiner(s): Satanovsky, Alexander
• Assistant Examiner(s): KUAN, JOHN CHUNYANG
• Application Number:
  US13/697,739
• Publication Number:
  US 20130080082A1
• Time in Patent Office: 2,051 Days
• US Class Current: 1/1
• CPC Class Codes: G01F 1/00 Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow measuring a proportion of the volume flow G01F5/00
• CPC Class Codes: G01F 25/10 of flowmeters
• CPC Class Codes: G01N 15/14 Optical investigation techniques, e.g. flow cytometry
• CPC Class Codes: G01N 35/00871 Communications between instruments or with remote terminals
• CPC Class Codes: G06F 17/00 Digital computing or data processing equipment or methods, specially adapted for specific functions information retrieval, database structures or file system structures therefor G06F16/00
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics

Abstract

A system for creating a flow cytometer network includes: a flow cytometer with an interrogation zone and a fixed gain detection system that collects sample data from the interrogation zone; a flow cytometer data center that stores and manages sample-related data from the flow cytometer; and a network communication module that communicates sample-related data between the flow cytometer and the data center. The system may include a second flow cytometer and a second network communication module, where the first and second flow cytometers are calibrated to have substantially identical fixed gain settings. A method for creating a flow cytometer network includes: calibrating first and second flow cytometers with a calibration solution; collecting sample data with a fixed gain detection system; uploading data to a flow cytometer data center; retrieving data from the data center; and performing data analysis on the retrieved data.

Claims

1. A system for creating a flow cytometer network, comprising:

a first and second flow cytometers, each flow cytometer respectively including;

an interrogation zone through which a flow cytometer sample passes; and

a fixed gain detection system configured to use a fixed gain setting for collecting for the sample a sample data set of photonic inputs from the interrogation zone;

a flow cytometer data center that stores and manages sample-related data from the first and second flow cytometers, the flow cytometer data center comprising an analysis module configured to perform data analysis by directly comparing the sample data sets from the first and the second flow cytometers without compensating for differences between the fixed gain settings of the first and the second flow cytometers, and without compensating for differences in calibration settings of the first and the second flow cytometers; and

a network communication module communicatively coupled to at least one of the first and the second flow cytometers and the flow cytometer data center, wherein the network communication module communicates sample-related data between the at least one of the first and the second flow cytometers and the flow cytometer data center.

2. The system of claim 1, wherein the fixed gain detection system of the first flow cytometer is configured to collect a sample data set that includes a wide dynamic range of photonic inputs.

3. The system of claim 2, wherein the fixed gain detection system of the first flow cytometer is configured to collect a sample data set that includes at least a 1:

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

4. The system of claim 3, wherein the fixed gain detection system of the first flow cytometer is configured to collect a sample data set that includes at least a 1:

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

5. The system of claim 1, wherein the network communication module automatically uploads sample-related data to the flow cytometer data center.

6. The system of claim 1, wherein the first and the second flow cytometers each includes a user interface through which a user may selectively upload sample-related data to the flow cytometer data center.

7. The system of claim 6, wherein the user interface enables the user to download uploaded sample-related data from the flow cytometer data center.

8. The system of claim 1, wherein the flow cytometer data center includes a server and a database, and is network-accessible.

9. The system of claim 8, wherein the flow cytometer data center includes a web application interface.

10. The system of claim 8, wherein the flow cytometer data center stores data analysis information.

11. The system of claim 10, wherein the flow cytometer data center further stores at least one of:

the sample data set, a calibration file, and sample information.

12. The system of claim 8, wherein the flow cytometer data center is communicatively coupled to a plurality of flow cytometers.

13. The system of claim 7, wherein the flow cytometer data center includes an application programming interface (API).

14. The system of claim 1, wherein the first and second flow cytometers are calibrated with substantially identical calibration solutions.

15. The system of claim 1, wherein the first and second flow cytometers have substantially identical gain settings.

16. A method for creating a flow cytometer network, comprising:

calibrating a first flow cytometer with a calibration solution;

calibrating a second flow cytometer with the calibration solution;

collecting, at the first flow cytometer a first sample data set for a first sample using a first fixed gain detection system with a first fixed gain setting;

collecting, at the second flow cytometer a second sample data set for a second sample using a second fixed gain detection system with a second fixed gain setting;

uploading the first and the second sample data sets to a flow cytometer data center;

retrieving flow cytometry data from the flow cytometer data center; and

performing, at the flow cytometer data center, data analysis by directly comparing the first and the second sample data sets without compensating for differences between the first fixed gain setting and the second fixed gain setting, and without compensating for differences in calibration settings of the first and the second flow cytometers.

17. The method of claim 16, wherein collecting a sample data set includes collecting sample data without accepting a gain amplification level selection from a user.

18. The method of claim 16, wherein collecting a sample data set with a fixed gain detection system includes collecting photonic inputs from an interrogation zone across a wide dynamic range that includes a 1:

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

19. The method of claim 16, wherein uploading the first and the second sample data sets includes uploading data analysis information.

20. The method of claim 16, wherein uploading the first and the second sample data sets includes uploading to the flow cytometer data center at least one of:

a calibration file, the sample data set, sample information, and laboratory information.

21. The method of claim 16, wherein performing data analysis on data includes analyzing data collected from two or more flow cytometers.

22. The method of claim 16, further comprising uploading the data analysis to the flow cytometer data center.

23. A method for creating a flow cytometer network, comprising:

calibrating a first flow cytometer with a calibration solution;

calibrating a second flow cytometer with the calibration solution;

collecting, at the first flow cytometer a first sample data set for a first sample using a first fixed gain detection system with a first fixed gain setting, wherein collecting the first sample data set includes collecting photonic inputs from an interrogation zone of the first flow cytometer across a wide dynamic range that includes at least a 1;

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

collecting, at the second flow cytometer a second sample data set for a second sample using a second fixed gain detection system with a second fixed gain setting, wherein collecting the second sample data set includes collecting photonic inputs from an interrogation zone of the second flow cytometer across a wide dynamic range;

uploading the first and the second sample data sets to a flow cytometer data center;

retrieving flow cytometry data from the flow cytometer data center; and

performing, at the flow cytometer data center, data analysis by directly comparing the first and the second sample data sets without compensating for differences between the first fixed gain setting and the second fixed gain setting.

24. The method of claim 23, wherein collecting sample data includes collecting sample data with a fixed gain detection system, without accepting a gain amplification level selection from a user.

25. A method for creating a flow cytometer network, comprising:

calibrating a first flow cytometer with a calibration solution;

calibrating a second flow cytometer with the calibration solution;

collecting, at the first flow cytometer a first sample data set for a first sample using a first fixed gain detection system with a first fixed gain setting, wherein collecting the first sample data set includes collecting photonic inputs from an interrogation zone across a wide dynamic range that includes a 1;

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

collecting, at the second flow cytometer a second sample data set for a second sample using a second fixed gain detection system with a second fixed gain setting;

uploading the first and the second sample data sets to a flow cytometer data center;

retrieving flow cytometry data from the flow cytometer data center; and

performing, at the flow cytometer data center, data analysis by directly comparing the first and the second sample data sets without compensating for differences between the first fixed gain setting and the second fixed gain setting, and without compensating for differences in calibration settings of the first and the second flow cytometers.