Apparatus for the identification of free-lying cells

• US 6,134,354 A
• Filed: 07/22/1998
• Issued: 10/17/2000
• Est. Priority Date: 09/20/1994
• Status: Expired due to Term

• Current Assignee: Tripath Imaging Incorporated (Becton, Dickinson & Co)
• Original Assignee: Tripath Imaging Incorporated (Becton, Dickinson & Co)
• Inventors: Meyer, Michael G., Oh, Seho, Lee, Shih-Jong J., Kuan, Chih-Chau L., Bannister, Wendy R., Wilhelm, Paul S.
• Primary Examiner(s): Tran, Phuoc
• Application Number:
  US09/121,012
• Time in Patent Office: 818 Days
• Field of Search: 382/133, 382/134, 382/173, 382/270, 382/274, 382/275, 382/308
• US Class Current: 382/270
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 2015/1497 Particle shape
• CPC Class Codes: G06V 20/69 Microscopic objects, e.g. biological cells or cellular parts

Abstract

A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.

Claims

1. A free-lying cell segmenter comprising:

(a) a means for acquiring at least one image of a biological specimen having an image output;

(b) a means for creating a contrast enhanced image having an enhanced image output wherein the means for creating a contrast enhanced image is connected to receive the at least one image;

(c) a means for image thresholding having a thresholded image output wherein the means for image thresholding is connected to receive the contrast enhanced image; and

(d) a means for object refinement having a refined object output wherein the means for object refinement is connected to receive the thresholded image output; and

wherein the means for object refinement performs a morphological operation on the thresholded image output.

2. The free-lying cell segmenter of claim 1 wherein the means for creating a contrast enhanced image further comprises a computer processor.

3. The free-lying cell segmenter of claim 1 wherein the means for creating a contrast enhanced image further comprises a means for computing the difference between an original image and a normalized background.

4. The free-lying cell segmenter of claim 1 wherein the means for image thresholding further comprises a computer processor.

5. The free-lying cell segmenter of claim 1 wherein the means for image thresholding further comprises a means for determining whether the brightness of an object lies within a predetermined range.

6. The free-lying cell segmenter of claim 1 wherein the means for object refinement further comprises a computer processor.

7. The free-lying cell segmenter of claim 1 wherein the means for object refinement further comprises a means for identifying the size, shape, and location of objects.

8. The free-lying cell segmenter of claim 1 further comprising a computer processor.

9. A method for segmenting free-lying cells in an image of a biological specimen comprising the steps of:

(a) acquiring an image of the biological specimen;

(b) creating a contrast enhanced image from the image of the biological specimen;

(c) image thresholding the contrast enhanced image to generate a thresholded image; and

(d) object refining the thresholded image to generate a free-lying cell segmented image using a morphological operation on the thresholded image.

10. The method of claim 9 further comprising the step of computing the difference between the image of the biological specimen and a normalized background.

11. The method of claim 9 further comprising the step of determining whether the brightness of an object lies within a predetermined range.

12. The method of claim 9 further comprising the step of identifying the size, shape, and location of objects.