Systems and methods for diagnosing a fluidics system and determining data processing settings for a flow cytometer
US-10001434-B2 · Jun 19, 2018 · US
US10520418B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10520418-B2 |
| Application number | US-201815984695-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 21, 2018 |
| Priority date | Mar 6, 2014 |
| Publication date | Dec 31, 2019 |
| Grant date | Dec 31, 2019 |
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The present set of embodiments relates to systems and methods for diagnosing a fluidics system and determining data processing settings for a flow cytometer. Systems and methods for diagnosing a fluidics system require accurate measurement and interpretation of fluctuations within the fluid delivery system. Systems and methods for determining data processing settings require an accurate measurement of peak times among various channels and being able to adjust time delay settings wherein peak time is the measurement of time elapsed from the beginning of the data collection time window to the highest peak in the window.
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What is claimed is: 1. A fluidic diagnostic system for a flow cytometer comprising: a flow cell configured to flow calibration particles; at least two light sources each configured to emit a light beam, wherein each light beam is associated with a channel, and wherein the light beams pass through the flow cell; a detector associated with each channel, wherein each detector is configured to collect light emitted from each of the set of calibration beads; a memory buffer configured to record data from each of the detectors; a trigger channel configured to initiate a transfer of data from a first data collection time window associated with the trigger channel when a data signal threshold for the trigger channel is exceeded; a second channel configured to transfer data from a second data collection time window associated with the second channel when the data signal threshold for the trigger channel is exceeded; a trigger processor configured to: transfer the data from the first data collection time window to a data storage each time the data signal intensity threshold is exceeded; and transfer the data from the second data collection time window to the data storage each time the data signal intensity threshold is exceeded; and a computer processor configured to compare a distribution of data intensity peak times within the second data collection time window to a system specification to determine a diagnostic parameter. 2. The system in claim 1 , further comprising a field programmable gate array wherein the memory buffer and the trigger processor are subcomponents of the field programmable gate array. 3. The system in claim 1 , wherein the system specification is 1 standard deviation. 4. The system in claim 1 , wherein the system specification is 2 standard deviations. 5. The system in claim 1 , wherein the system specification is 3 standard deviations. 6. The system in claim 1 , wherein the system specification is 4 standard deviations. 7. The system in claim 1 , wherein the system specification is a Gaussian distribution. 8. The system in claim 1 , wherein the system specification is a Poisson distribution. 9. The system in claim 1 , wherein the light emitted is fluorescent. 10. The system of claim 1 , wherein the light emitted is scattered. 11. The system in claim 1 , wherein the data collection time windows are between about 80 to about 120 ADC points wide. 12. The system in claim 1 , wherein the data collection time windows are between about 320 to about 360 ADC points wide. 13. The system in claim 1 , wherein the diagnostic parameter relates to a fluid pressure. 14. The system in claim 1 , wherein the diagnostic parameter relates to a mechanical perturbation in a pump. 15. The system in claim 1 , wherein the diagnostic parameter relates to a particle arrival time. 16. The system in claim 1 , wherein the diagnostic parameter relates to laminar flow stability. 17. The system in claim 1 , wherein the computer processor is additionally configured to calculate a time delay based on the distribution of data intensity peak times in the second data collection time window. 18. The system in claim 17 , wherein the time delay is calculated to modify the size of the second data collection time window. 19. The system in claim 17 , wherein the time delay is calculated to shift the second data collection time window. 20. The system in claim 17 , wherein the time delay is calculated to modify the size of and shift the second data collection time window.
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