Systems, apparatuses, and methods to measure deformability of red blood cells in microfluidic channels

1 . A system, comprising:

one or more deformability devices having one or more microfluidic channels with at least one cross-sectional dimension smaller than a nominal thickness of a red blood cell, wherein the one or more microfluidic channels with the at least one cross-sectional dimension is configured to deform red blood cells of a blood sample that flow through the one or more microfluidic channels;

at least one digital holographic imager configured to generate a sequence of digital holography images or videos of the red blood cells of the blood sample that flow through the one or more microfluidic channels; and

at least one processor operationally coupled to the at least one digital holographic imager and configured to:

receive the sequence of digital holography images or videos; and

analyze the generated sequence of digital holography images or videos to quantify and characterize deformability of the red blood cells that transition through the one or more microfluidic channels.

2 . The system of claim 1 , wherein the one or more microfluidic channels have an interior surface that is coated with a plurality of endothelial cells.

3 . The system of claim 1 , wherein the one or more microfluidic channels comprise at least one inlet and at least one outlet, wherein the at least one inlet is configured to receive the blood sample and the at least one outlet is configured to discharge the red blood cells.

4 . The system of claim 1 , wherein to quantify and characterize deformability of the red blood cells within the one or more microfluidic channels, the at least one processor is further configured to measure transit speed or transit times of the red blood cells.

5 . The system of claim 4 , wherein a speed distribution of the red blood cells of the blood sample is determined based at least on the transit speed measured or transit times measured of the red blood cells to indicate a severity of a hematologic disease in the blood sample.

6 . The system of claim 5 , wherein the speed distribution comprises one or more distribution metrics including one or more of shape, outliers, average speed, maximum speed, standard deviation, and skewness.

7 . The system of claim 5 , wherein, to quantify and characterize the deformability of the red blood cells deformed, the at least one processor is further configured to generate a score or relative indicator of a health status or indicate an efficacy of a medical treatment based on the severity of the hematologic disease in the blood sample.

8 . The system of claim 7 , further comprising at least one user device, wherein the at least one user device is configured to receive a report related to the health status.

9 . The system of claim 1 , wherein the at least one digital holographic imager comprises a lensless in-line digital holography configuration to generate the sequence of digital holography images or videos.

10 . The system of claim 1 , wherein the at least one processor is further configured to analyze the generated sequence of digital holography images or videos using an Artificial Intelligence/Machine Learning module to track the red blood cells within the one or more microfluidic channels.

11 . The system of claim 1 , wherein the red blood cells are unstained and untagged.

12 . A method, comprising:

deforming, with a deformability device, red blood cells of a blood sample flowing through one or more microfluidic channels of the deformability device, wherein the one or more microfluidic channels comprising at least one cross-sectional dimension smaller than a nominal thickness of a red blood cell;

generating, via at least one digital holographic imager, a sequence of digital holography images or videos of the red blood cells of the blood sample flowing through the one or more microfluidic channels; and

analyzing, via at least one processor, the generated sequence of digital holography images or videos to quantify and characterize deformability of the red blood cells transiting through the one or more microfluidic channels.

13 . The method of claim 12 , wherein the one or more microfluidic channels have an interior surface that is coated with a plurality of endothelial cells.

14 . The method of claim 12 , wherein analyzing the generated sequence of digital holography images or videos to quantify and characterize deformability of the red blood cells within the one or more microfluidic channels comprises measuring transit speed or transit times of the red blood cells.

15 . The method of claim 14 , further comprising:

determining, via the at least one processor, a speed distribution of the red blood cells based at least in part on the transit speed measured or transit times measured of the red blood cells, to indicate a severity of a hematologic disease in the blood sample.

16 . The method of claim 15 , wherein the speed distribution comprises one or more distribution metrics including one or more of shape, outliers, average speed, maximum speed, standard deviation, and skewness.

17 . The method of claim 12 , wherein the at least one digital holographic imager comprises a lensless in-line digital holography configuration to generate the sequence of digital holography images or videos.

18 . The method of claim 12 , further comprising:

analyzing, via the at least one processor, the generated sequence of digital holography images or videos using an Artificial Intelligence/Machine Learning module to track the red blood cells within the one or more microfluidic channels.

19 . The method of claim 12 , wherein analyzing the generated sequence of digital holography images or videos to quantify and characterize deformability of the red blood cells includes generating a score or relative indicator of a health status or indicating an efficacy of a medical treatment based on a severity of a hematologic disease in the blood sample.

20 . The method of claim 19 , further comprising:

transmitting, to at least one user device, a report related to the health status.