System and method for determining an immune activation state
A system or method for detecting an immune system activation state in a patient can include a sample preparation system configured to isolate white blood cells from a sample of the patient, a cytometry module configured to determine biophysical properties of the white blood cells of the sample, and an analysis module configured to analyze the biophysical properties.
1. A system for detecting an immune system activation state in a patient comprising:
a sample preparation system configured to:
lyse red blood cells from a blood sample of the patient;
quench the lysing reaction before white blood cells from the blood sample are damaged;
separate the white blood cells from the lysed red blood cells; and
maintain a temperature of the blood sample between 24-26° C.;
a cytometer configured to determine biophysical properties of the white blood cells of the sample, the cytometer comprising a microfluidic channel comprising:
an inlet configured to receive the separated white blood cells;
a focusing region fluidly connected to the inlet through a filter, the focusing region configured to align the white blood cells;
a deformation region fluidly connected to the focusing region, the deformation region configured to deform the white blood cells; and
an outlet fluidly connected to the deformation region through a second filter; and
a processor configured to detect the immune system activation state in the patient based on the biophysical properties.
2. The system of claim 1 , wherein the cytometer further comprises a thermal system that maintains the microfluidic channel at a temperature between 24.5° C. and 25.5° C.
3. The system of claim 1 , wherein the cytometer further comprises an imaging system configured to acquire images of the deformation region.
4. The system of claim 3 , wherein a frame rate of an image sensor of the imaging system is at least 50,000 frames/second.
5. The system of claim 3 , wherein the imaging system is further configured to acquire images of white blood cells in a channel upstream of the deformation region.
6. The system of claim 5 , wherein the images of white blood cells in the channel are used to determine a flow rate of sample through the microfluidic channel.
7. The system of claim 6 , wherein when the determined flow rate is outside a threshold flow rate range, the blood sample is not analyzed.
8. The system of claim 1 , wherein lysing the red blood cells does not change an activation state of the white blood cells.
9. The system of claim 1 , wherein a flow of the blood sample within the cytometer module is established using compressed air with a pressure of 91±3 PSI.
10. The system of claim 1 , wherein the biophysical properties comprise at least one of a trajectory parameter, a cell count, or a leukocyte subpopulation.
11. The system of claim 10 , wherein the trajectory parameter comprises an oscillation of a centroid of a cell of the white blood cells.
12. The system of claim 1 , wherein the processor uses a machine learning algorithm trained to detect immune system activation state in the patient based on the biophysical properties.
13. The system of claim 12 , wherein the analysis module processor comprises a graphics processing unit accelerated computation.
14. A system for detecting an immune system activation state in a patient comprising:
a sample preparation system configured to:
lyse red blood cells from a blood sample of the patient;
quench the lysing reaction before white blood cells from the blood sample are damaged;
separate the white blood cells from the lysed red blood cells; and
maintain a temperature of the blood sample between 24-26° C.;
a cytometer configured to determine biophysical properties of the white blood cells of the sample; and
a processor configured to detect the immune system activation state in the patient based on the biophysical properties, wherein the biophysical properties comprise a trajectory parameter, wherein the trajectory parameter comprises an oscillation of a centroid of a cell of the white blood cells.
15. The system of claim 14 , wherein the cytometer comprises a microfluidic channel comprising:
an inlet configured to receive the separated white blood cells;
a focusing region fluidly connected to the inlet through a filter, the focusing region configured to align the white blood cells;
a deformation region fluidly connected to the focusing region, the deformation region configured to deform the white blood cells; and
an outlet fluidly connected to the deformation region through a second filter.
16. The system of claim 15 , wherein the cytometer further comprises a thermal system that maintains the microfluidic channel at a temperature between 24.5° C. and 25.5° C.
17. The system of claim 15 , wherein the cytometer further comprises an imaging system configured to acquire images of the deformation region.
18. The system of claim 17 , wherein a frame rate of an image sensor of the imaging system is at least 50,000 frames/second.
19. The system of claim 17 , wherein the imaging system is further configured to acquire images of white blood cells in a channel upstream of the deformation region.
20. The system of claim 19 , wherein the images of white blood cells in the channel are used to determine a flow rate of sample through the microfluidic channel.
21. The system of claim 20 , wherein when the determined flow rate is outside a threshold flow rate range, the blood sample is not analyzed.
22. The system of claim 14 , wherein lysing the red blood cells does not change an activation state of the white blood cells.
23. The system of claim 14 , wherein the biophysical properties further comprise at least one of a cell count or a leukocyte subpopulation.
24. The system of claim 14 , wherein the processor uses a machine learning algorithm trained to detect immune system activation state in the patient based on the biophysical properties.