Method and system for counting particles in a laminar flow with an imaging device

• US 8,798,338 B2
• Filed: 01/09/2006
• Issued: 08/05/2014
• Est. Priority Date: 01/09/2006
• Status: Active Grant

• Current Assignee: University of Wyoming
• Original Assignee: University of Wyoming
• Inventors: Johnson, Paul E.
• Primary Examiner(s): Seth, Manav
• Application Number:
  US11/328,033
• Publication Number:
  US 20070159627A1
• Time in Patent Office: 3,130 Days
• Field of Search: 382/128, 210/745, 356/73
• US Class Current: 382/128
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 15/1459 the analysis being performed on a sample stream
• CPC Class Codes: G01N 2015/1486 Counting the particles

Abstract

An invention is described which allows measurement of the concentration of fluorescent particles in a flowing (laminar) fluid by imaging the flow with a video camera. A beam of illumination is used to illuminate the target particles. Imaging optics are arranged to view the focal plane to form an image of the multiple fluorescent sample particles in the flow stream; a camera records the image formed by the imaging optics, and a counting algorithm enumerates the particles. Operational parameters of the system are adjusted according to an initial estimate of particle density, for example flow rate, exposure time, and sampling interval. In addition, the counting algorithm is selected according to the estimated particle density.

Claims

1. A method of enumerating particles in a flow wherein the flow is monitored by an imaging system including an imaging device having a focal plane that images an illuminated cross-section of the flow, the method comprising the steps of:

(a) imaging one or more frames with the imaging device;

(b) making a preliminary estimate of particle density, using a default counting algorithm, based upon an imaged frame;

(c) determining into which of two or more predetermined categories of density the particle density of the imaged frame falls;

(d) adjusting at least one of the following elements according to the determined density category—

the counting algorithm;

a parameter of the imaging system; and

/or

the flow speed; and

(e) enumerating particles in the flow after making the adjustment of step (d);

wherein the adjusting step adjusts the counting algorithm by selecting between counting algorithms designed to operate at different particle density categories;

wherein the counting algorithms comprise a Lower Particle Density Algorithm and a High Particle Density Algorithm; and

wherein the Lower Particle Density Algorithm implements the steps of—

differencing two successive image frames;

flagging groups of pixels above a predetermined threshold of intensity;

counting flagged groups as particles; and

correcting counts for spatial confusion.

2. The method of claim 1, wherein the step of counting particles further includes the step of using size of a flagged group to discriminate particles.

3. The method of claim 1 wherein the step of correcting counts for spatial confusion reduces the count according to a predetermined criterion based on distance between counted particles.

4. The method of claim 1 wherein the Lower Particle Density Algorithm is divided into a Low Particle Density Algorithm and an Intermediate Particle Density Algorithm, and wherein the Intermediate Particle Density Algorithm further includes the steps of determining which counted particles are likely to have been counted in previous frames, and decrementing the count accordingly.

5. The method of claim 4 wherein the adjusting step also adjusts the exposure time and the sampling time of the imaging system as follows:

for the Low Particle Density Algorithm the adjusting step sets the pump speed to high and the exposure time to long;

for the Intermediate Particle Density Algorithm the adjusting step sets the pump speed to medium and the exposure time to medium;

for the High Particle Density Algorithm the adjusting step sets the pump speed to low and the exposure time to fast.

6. The method of claim 4 wherein the Intermediate Particle Density Algorithm includes the step of tracking the x,y coordinates of successive images in order to count a moving particle detected in successive frames as a single particle.

9. The method in claim 6 wherein the brightness of a particle detected in multiple frames is taken to be its'"'"' maximum measured brightness.

7. A method of enumerating particles in a flow wherein the flow is monitored by an imaging system including an imaging device having a focal plane that images an illuminated cross-section of the flow, the method comprising the steps of:

(a) imaging one or more frames with the imaging device;

(b) making a preliminary estimate of particle density, using a default counting algorithm, based upon an imaged frame;

(c) determining into which of two or more predetermined categories of density the particle density of the imaged frame falls;

(d) adjusting at least one of the following elements according to the determined density category

the counting algorithm,

a parameter of the imaging system; and

/or

the flow speed; and

(e) enumerating particles in the flow after making the adjustment of step (d);

wherein the adjusting step adjusts the counting algorithm by selecting between counting algorithms designed to operate at different particle density categories;

wherein the counting algorithms comprise a Lower Particle Density Algorithm and a High Particle Density Algorithm; and

wherein the High Particle Density Algorithm includes the steps of—

flagging groups of pixels above a predetermined threshold of intensity;

counting flagged groups as particles; and

applying a spatial confusion correction factor to the count according to a formula based upon the count.

8. The method of claim 7, further including the step of high pass filtering the frames prior to the flagging step.