Granted Patent
B2
US 12,478,966 · App. 18/637,954 · Granted Nov 25, 2025
System and method for immune activity determination
Inventors:
Henry Tat Kwong Tse (San Francisco, CA); Ajay M. Shah (San Francisco, CA); Lionel Guillou (San Francisco, CA); Roya Sheybani (San Francisco, CA); Christopher Dahlberg (San Francisco, CA); Anne E. Jensen (San Francisco, CA)
Assignee:
CytoVale Inc.
B01L3/502761B01L3/502715B01L3/502746B01L3/502753G06N3/02G06T7/0012B01L2200/0631B01L2200/0652B01L2200/0668B01L2200/0684B01L2200/0694B01L2200/12B01L2300/0877B01L2300/0887B01L2300/185B01L2400/0409B01L2400/0415B01L2400/0436G06T2207/30024G06T2207/30104
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Abstract
A system and method for determining a trajectory parameter of particles, comprising receiving a plurality of particles at a microfluidic channel, applying a force to each particle of the microfluidic channel, acquiring a dataset of each particle, measuring a trajectory of the particle, and determining a trajectory parameter of the particles.
Claims (29)
1 . A system for determining a sepsis condition of a patient, comprising:
a microfluidic channel comprising:
an inlet;
a focusing region configured to align cells from a patient sample;
a first branch and a second branch, wherein a plurality of the cells from the patient are directed through either the first branch or the second branch; and
a deformation region wherein the first branch and the second branch intersect within the deformation region, wherein cells from the patient sample undergoes a deformation within the deformation region;
an image acquisition system comprising a field of view that overlaps the deformation region; and
a processor configured to:
determine a trajectory of each cell passing through the deformation region, wherein the trajectory comprises a series of discrete positions of the cell as the cell passes through the deformation region, and wherein the trajectory comprises an oscillation of a centroid of the cell; and
determine one or more trajectory parameters associated with each cell of the patient subject, wherein the trajectory parameters comprise at least one of a difference, sum, amplitude, maximum, and average value of one or more positions of the trajectory; and
determine the sepsis condition of the patient based on the trajectory parameters.
2 . The system of claim 1 , wherein the focusing region comprises an inertial focusing region.
3 . The system of claim 2 , wherein the focusing region comprises alternating regions with small radius of curvature and larger radius of curvature.
4 . The system of claim 1 , wherein the first branch and the second branch each include a second focusing region.
5 . The system of claim 1 , wherein the oscillation of the centroid of the cell is in a direction orthogonal to a flow direction of the cell.
6 . The system of claim 1 , further comprising a temperature regulator configured to maintain the microfluidic channel within a target range of a target temperature.
7 . The system of claim 1 , wherein a frame rate of the image acquisition system is at least 100,000 frames per second.
8 . The system of claim 1 , wherein the trajectory is determined from a plurality of images of each cell.
9 . The system of claim 1 , wherein the oscillation of the centroid of the cell is based at least on a plurality of peaks of the oscillation.
10 . The system of claim 9 , wherein at least one of the plurality of peaks is discarded before determining at least one of the one or more trajectory parameters.
11 . The system of claim 1 , wherein the sepsis condition of the patient is based on a structural parameter of a cell of the plurality of cells.
12 . The system of claim 11 , wherein the structural parameter comprises a shape of the cell, an aspect ratio of the cell, a size of the cell, a constituent structure of the cell, a constituent morphology of the cell, or an internal structural of the cell.
13 . The system of claim 1 , wherein the processor is configured to determine if a cell of the plurality of cells is present in an image captured by the image acquisition system.
14 . The system of claim 13 , wherein the determining if the cell is present in the image is based on a segmentation of the image.
15 . The system of claim 1 , wherein the sepsis condition of the patient is based in part on an output of a model configured to output the sepsis condition of the patient based at least on the trajectory parameters.
16 . The system of claim 15 , wherein the model comprises a neural network.
17 . The system of claim 15 , wherein the model comprises a logistic regression model.
18 . The system of claim 15 , wherein the output of the model is a numerical index.
19 . The system of claim 15 , wherein the model was trained on a dataset comprising a plurality of patients determined to have sepsis.
Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded May 2, 2024
From: TSE, HENRY TAT KWONG; SHAH, AJAY M.; GUILLOU, LIONEL; SHEYBANI, ROYA; DAHLBERG, CHRISTOPHER; JENSEN, ANNE E.
To: CYTOVALE INC.
Reel/Frame 067299/0639 →
Continuity (4)
Provisional Application
62881283
· Jul 31, 2019
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