US2013163845A1PendingUtilityA1
System For Detecting Infectious Agents Using Computer-Controlled Automated Image Analysis
Est. expiryJun 4, 2021(expired)· nominal 20-yr term from priority
C12Q 1/04G06V 20/69G06V 20/698G06T 2207/30024G06T 7/0012G06K 9/00147G01N 15/1433
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Claims
Abstract
A method for providing quantitative information regarding the extent of infection of host cells by an infectious agent. A microscope image of a specimen of a bodily fluid is analyzed using image processing techniques to quantify the percentage of the area of the specimen that is infected.
Claims
exact text as granted — not AI-modifiedWhat is claimed:
1 . A computer software product, comprising a computer-readable storage medium having fixed therein a sequence of instructions which, when executed by a computer, direct the performance of a method which comprises:
a) acquiring a microscope image of an optical field of a substrate having fixed thereon a monolayer of animal cells which either produce or are treated to produce a first signal specific to an animal cell of interest and treated to produce a second signal specific to an infectious agent of interest, if present, and transferring the image to an ROB image; b) transferring the Red component of the RGB image to a new monochrome grey image; c) transforming the grey level image to a binary image using a cut off point set to a value indicative of the expected size of the animal cells of interest; d) operating on the binary image to remove noise and fill holes; e) measuring size of the image of step d), selecting and recording areas representative of the animal cells of interest; f) transferring the Red component of the original ROB image to a second binary image using an expected value indicative of the infectious agent of interest; g) transferring the Green component of the original RGB image to grey level; h) forming a new grey level image using all pixels having a value equal to a set value M and any grey level value in the Green component in the original RGB image equal to a set value N; i) transforming the new grey level images to a third binary image; j) operating on the third binary image to remove noise and fill holes; k) recording the area of the third binary image after step j); and l) determining whether or not, each identified animal cell is occupied by an infectious agent of interest.
2 . The computer software product in accordance with claim 1 , wherein the method further comprises calculating the extent of each animal cell occupied by said infectious agent.
3 . The computer software product in accordance with claim 1 , further comprising a computer-readable storage medium having fixed therein a sequence of instructions which, when executed by a computer, direct the performance of a method which comprises:
a) acquiring a microscope image of an optical field of a substrate having fixed thereon a sample of a body fluid or tissue from an animal patient suspected of containing an infectious agent of interest, which sample either produces or is treated to produce a first signal specific to an infectious agent of interest, if present, and transferring the image to an RGB image; b) transferring the RGB image to an HLS image and transforming the HIS image to a new monochrome grey level image; c) transforming the grey level image to a binary image; d) operating on the binary image using at least one filter to identify blobs; and e) selecting blobs based on the expected size of area of an infectious agent to determining whether or not an infectious agent of interest is present in the sample.Cited by (0)
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