Method and an apparatus for differentiating a sample of biological cells

• US 5,436,978 A
• Filed: 12/06/1993
• Issued: 07/25/1995
• Est. Priority Date: 08/10/1989
• Status: Expired due to Term

• Current Assignee: IRIS International Inc. (Danaher Corporation)
• Original Assignee: IRIS International Inc. (Danaher Corporation)
• Inventors: Kasdan, Harvey L.
• Primary Examiner(s): Boudreau, Leo H.
• Application Number:
  US08/164,684
• Time in Patent Office: 596 Days
• Field of Search: 382/6, 382/8, 382/1, 382/17, 382/18, 382/51, 348/79, 348/80, 364/413.13, 356/39
• US Class Current: 382/133
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 15/1468 with spatial resolution of the texture or inner structure of the particle
• CPC Class Codes: G01N 2015/016 White blood cells
• CPC Class Codes: G06V 20/69 Microscopic objects, e.g. biological cells or cellular parts

Abstract

A method for quickly and easily identifying the five basic components of leukocyte cells: basophils, eosinophils, neutrophils, monocytes and lymphocytes is disclosed. The method measures the size of each of the cells. Computation of the quantile feature of the cells and their color is then made. BA and EO cells are differentiated from LY and MO and NE cells using the present method. BA and EO cells can also be differentiated from LY, MO, and NE cells using methods of the prior art. Once BA and EO cells have been differentiated from the five leukocyte cells, LY cells can be differentiated from MO and NE cells based upon the size of the LY cells. The average color intensity of the LY cells determined is then used as the threshold to differentiate MO cells from NE cells.

Claims

1. A method of differentiating a sample of a plurality of different types of biological cells from one another in a field of view, said method comprising the steps of:

forming an image of said sample;

segmenting said image to form a plurality of pixels;

determining the boundary of each cell in said field of view;

measuring the intensity values of each individual pixel within the boundary of each cell for a plurality of different colors;

computing one or more ratios of the intensity values of the different colors measured for each pixel; and

identifying one or more of said different types of cells based upon said ratio computed.

2. The method of claim 1 wherein said biological cells are White Blood Cells (WBC).

3. The method of claim 2 wherein said WBC cells comprise:

Lymphocyte (LY) cells, monocyte (MO) cells, and neutrophil (NE) cells.

4. The method of claim 1 wherein said plurality of different colors are:

red, blue and green.

5. The method of claim 1 wherein said computing step computes a plurality of ratios.

6. The method of claim 5 further comprising the step of:

measuring the intensity values of the pixels outside the boundary of each cell for said same plurality of different colors; and

computing the normalized intensity values of the pixels within the boundary of each cell, prior to computing the ratio therefor.

7. The method of claim 5 further comprising the step of:

measuring the size of each cell;

differentiating one type of cell from other types of cells based upon the size of each cell measured;

after the step to determine the boundary of each cell.

8. The method of claim 7 further comprising the step of:

measuring the intensity values of the pixels outside the boundary of each cell for said same plurality of different colors; and

computing the normalized intensity values of the pixels within the boundary of each cell, prior to computing the ratio therefor.

9. The method of claim 8 wherein said plurality of different colors are:

red, blue and green.

10. The method of claim 1 further comprising the step of:

computing a plurality of quantiles of the ratios computed; and

identifying one or more of said different types of cells based upon said quantiles of ratios computed.