Method and apparatus for automated image analysis of biological specimens
First Claim
1. A method, comprising:
- identifying a sample area of a sample holder, the sample area including a biological sample;
receiving image data indicative of a first portion of the sample area, the image data including first color pixel data and second color pixel data for each of a plurality of pixels;
transforming the image data to generate transformed pixel data for each of the plurality of pixels which is in a different format than said image data, and which transformed pixel data includes information indicative of both a value of the first color pixel data and a value of the second color pixel data for the associated pixel; and
using the transformed image data to identify biological objects of interest in the image;
wherein identifying the sample area of the sample holder comprises;
obtaining image information of the sample, the image information including texture information;
determining imaging parameters indicative of a location of an outer edge of the biological sample using the texture information; and
identifying the sample area of the sample holder using the location of the outer edge of the biological sample.
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Abstract
A method and apparatus for automated cell analysis of biological specimens automatically scans at a low magnification to acquire images which are analyzed to determine candidate cell objects of interest. The low magnification images are converted from a first color space to a second color space. The color space converted image is then low pass filtered and compared to a threshold to remove artifacts and background objects from the candidate object of interest pixels of the color converted image. The candidate object of interest pixels are morphologically processed to group candidate object of interest pixels together into groups which are compared to blob parameters to identify candidate objects of interest which correspond to cells or other structures relevant to medical diagnosis of the biological specimen. The location coordinates of the objects of interest are stored and additional images of the candidate cell objects are acquired at high magnification. The high magnification images are analyzed in the same manner as the low magnification images to confirm the candidate objects of interest which are objects of interest. A high magnification image of each confirmed object of interest is stored for later review and evaluation by a pathologist.
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Citations
30 Claims
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1. A method, comprising:
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identifying a sample area of a sample holder, the sample area including a biological sample; receiving image data indicative of a first portion of the sample area, the image data including first color pixel data and second color pixel data for each of a plurality of pixels; transforming the image data to generate transformed pixel data for each of the plurality of pixels which is in a different format than said image data, and which transformed pixel data includes information indicative of both a value of the first color pixel data and a value of the second color pixel data for the associated pixel; and using the transformed image data to identify biological objects of interest in the image;
wherein identifying the sample area of the sample holder comprises;obtaining image information of the sample, the image information including texture information; determining imaging parameters indicative of a location of an outer edge of the biological sample using the texture information; and identifying the sample area of the sample holder using the location of the outer edge of the biological sample. - View Dependent Claims (2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14)
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6. The method of claisn 5, further comprising:
digitizing the image information corresponding to the first portion of the sample area to obtain the image data indicative of the first portion of the sample area.
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15. An article comprising a machine-readable medium embodying information Indicative of instructions that when performed by one or more machines result in operations comprising:
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automatically identifying a sample area of a sample holder, the sample area including a biological sample, said automatically identifying comprising analyzing an image of the sample area to determine image texture features which indicate undesirable, non-biological portions, and removing information caused by said non-biological portions; receiving image data indicative of a first portion of the sample area, the image data including first color pixel data and second color pixel data for each of a plurality of pixels; and using the image data as information indicative of both a value of the first color pixel data and a value of the second color pixel data for the associated pixel. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification