Systems and methods for automated analysis of cells and tissues

Patent metadata

Field	Value
Publication number	US-11315250-B2
Application number	US-201916286429-A
Country	US
Kind code	B2
Filing date	Feb 26, 2019
Priority date	Apr 20, 2001
Publication date	Apr 26, 2022
Grant date	Apr 26, 2022

Abstract

Systems and methods for rapidly analyzing cell containing samples, for example to identify morphology or to localize and quantitate biomarkers are disclosed.

First claim

What is claimed is:

1. A method, performed by a computer executing application software including executable instructions stored in a non-transitory computer readable medium, for localizing and quantitating a particular biomarker within a first marker defined subcellular compartment relative to a second marker defined subcellular compartment present in individual cells of interest contained in a tissue sample, the tissue sample being incubated with a first stain specifically labeling the first marker defined subcellular compartment, a second stain specifically labeling the second marker defined subcellular compartment, and a third stain specifically labeling the biomarker, said method performed by the computer executing the application software comprising:
(a) image processing (i) a first captured image of the first marker defined subcellular compartment incubated with the first stain, (ii) a second captured image of the second marker defined subcellular compartment incubated with the second stain, and (iii) a third captured image of the biomarker incubated with the third stain, each of the first image, the second image and the third image comprising a plurality of pixels, to determine a pixel intensity of each of a plurality of pixels in each of the first through third captured images and to determine a threshold pixel intensity;
(b) setting an intensity of each pixel having a pixel intensity below the threshold pixel intensity to zero, and setting an intensity of each pixel having a pixel intensity at or above the threshold pixel intensity to a maximum pixel intensity, and generating a mask with mask pixels which correspond respectively to the pixels set to the maximum pixel intensity;
(c) applying the mask generated in (b) to each of the first image, the second image and the third image, a region of interest in each image corresponding to locations of each of the mask pixels;
(d) assigning pixels at respective pixel locations in the region of interest in the first image and the second image to the first marker defined subcellular compartment incubated with the first stain, the second marker defined subcellular compartment incubated with the second stain, or neither, based on pixel intensities at each pixel location;
(e) determining, in the third image based on the assigning of pixels in (d), an amount of the third stain specifically labeling the biomarker in each of the first marker defined subcellular compartment and the second marker defined subcellular compartment, as to thereby localize and quantitate the biomarker in the first subcellular compartment relative to the second subcellular compartment.

2. The method of claim 1 , wherein the threshold pixel intensity is determined in (a) based on a background in the first image, the second image or the third image, the background corresponding to a most common pixel intensity or a second most common pixel intensity.

3. The method of claim 1 , wherein the threshold pixel intensity is determined in (a) based on a background in the first image, the second image or the third image, the background corresponding to a pixel intensity which is less than half the maximum pixel intensity.

4. The method of claim 1 , wherein the mask generated in (b) is dilated or eroded to match a user-defined value.

5. The method of claim 1 , wherein the first image, the second image and the third image include 1024×1024 pixel locations.

6. The method of claim 1 , wherein the first image, the second image and the third image are captured by an optical or non-optical imaging device.

7. The method of claim 1 , wherein (d) includes assigning those pixel locations having a pixel intensity indicative of:
i) the first stain only, to the first compartment;
ii) the second stain only, to the second compartment;
iii) both the first and the second stain, to the compartment for which the pixel intensity is greater or to neither compartment if the pixel intensity is substantially equal.

8. The method of claim 1 , further comprising:
reiteratively analyzing the first and the second stain pixel intensity in each of the pixel locations assigned to each of the first compartment and the second compartment and reassigning each pixel location based on a weighted ratio of the first stain pixel intensity relative to the second stain pixel intensity to reach a 95% degree of accuracy in the assignment of the pixel location.

9. The method of claim 1 , wherein (e) includes
analyzing in the third image the pixel locations assigned to the first subcellular compartment or the second subcellular compartment in step (d) so as to identify those pixel locations having a pixel intensity value indicative of the third stain, and determining the total pixel intensity value of the third stain at the pixel locations assigned to each of the first and second subcellular compartment.

10. The method of claim 1 , wherein the subcellular compartment is selected from the group consisting of a cell nucleus, a cytoplasm, a nuclear membrane, a cellular membrane, a mitochondria, an endoplasmic reticulum, a peroxisome and a lysosome.

11. The method of claim 1 , wherein the biomarker is selected from the group consisting of a protein, a peptide, a nucleic acid, a lipid or a carbohydrate.

12. The method of claim 1 , wherein each of the first, the second and the third stain comprises a fluorophore.

13. The method of claim 1 , wherein the quantitation of the biomarker present within the first or the second subcellular compartment comprises summing the pixel intensity values of the third stain at the pixel locations within such subcellular compartment and dividing the sum by the number of pixels in such subcellular compartment.

14. The method of claim 1 , wherein a pixel location not assigned to the first or the second subcellular compartment is assigned to a third subcellular compartment.

15. The method of claim 1 , further comprising:
after step (c) but before step (d) performing a pseudo-deconvolution step comprising:
obtaining an out-of-focus image of each of the first, the second and the third stain in the tissue sample wherein each image has an out-of-focus intensity value for each pixel location; and
subtracting the out-of-focus intensity value for each pixel location from the intensity value at such pixel location in the first, the second and the third images, so as to thereby obtain a processed image for each stain, corrected for background.

16. A system for localizing and quantitating a particular biomarker within a first marker defined subcellular compartment relative to a second marker defined subcellular compartments present in individual cells of interest contained in a tissue sample, the tissue sample being incubated with a first stain specifically labeling the first marker defined subcellular compartment, a second stain specifically labeling the second marker defined subcellular compartment, and a third stain specifically labeling the biomarker, said system comprising:
an optical imaging device configured to obtain an image, said image comprising pixel locations, of the tissue sample; and
a computer coupled to the optical imaging device and configured to acquire the image from the optical imaging device, the computer including a non-transitory computer readable medium storing one or more instructions executable by a processor perform a method comprising:
(a) determining a pixel intensity of each of a plurality of pixels in (i) a first captured image of the first marker defined subcellular compartment incubated with the first stain, (ii) a second captured image of the second marker defined subcellular comp

Assignees

• Rimm David
• Camp Robert
• Univ Yale

Inventors

• Rimm David
• Camp Robert

Classifications

• G01N21/6458 Primary

  Fluorescence microscopy (fluorescence microscopes per se G02B21/0076 and G02B21/16) · CPC title

• G06T2207/30024

  Cell structures in vitro; Tissue sections in vitro · CPC title

• G06T2207/20036

  Morphological image processing · CPC title

• G02B21/16

  adapted for ultraviolet illumination {; Fluorescence microscopes (G02B21/0076 takes precedence)} · CPC title

• G06T2207/30072

  Microarray; Biochip, DNA array; Well plate · CPC title