IP Library › Granted Patent US 12,374,464
Granted Patent B2
US 12,374,464 · App. 18/390,488 · Granted Jul 29, 2025

Apparatus, systems, and methods for rapid cancer detection

Inventors: Satabhisa Mukhopadhyay (Brookline, MA); Tathagata Dasgupta (Newton, MA)
Assignee: 4D Path Inc.
G16H50/20G06T7/0012G06T7/10G06V20/695G16H10/40G16H30/20G16H30/40G16H50/30G06T2207/10024G06T2207/10048G06T2207/30004G06T2207/30024
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Quick Facts
Patent No.
US 12,374,464
App. No.
18/390,488
Granted
Jul 29, 2025
Kind
B2
Abstract

Presented herein are systems, methods, and apparatus that analyze molecular imprints for detecting cancerous cells. Embodiments of the present disclosure include systems, methods, and apparatus that analyze metabolic imprints of cells for cancer detection. In certain embodiments, the methods/systems comprise extracting thermal and thermodynamic quantities and properties from the molecular imprints. The thermal/thermodynamic quantities and/or further-processed quantities can be mapped on a universal cancer diagnostic scale for disease stratification, thereby providing/determining a normality status of the subject cells.

Claims (46)

1. A method comprising:

receiving, by a processor, an image representing a plurality of cells that have each been identified in an area of the image and segmented into a nucleus region and a cellular region;

processing the image to generate a nuclear contrast feature that characterizes, for each of the plurality of cells, a temperature difference between the nucleus region and the cellular region based on a difference between pixel intensity values corresponding to the nucleus region and the cellular region in the image;

generating a nuclear area feature based on a ratio of an area of the nucleus region to a nucleus volume projection;

calculating, by the processor for each of the plurality of cells, an information surface value derived as a function of both:

(i) the nuclear contrast feature that characterizes the temperature difference between the nucleus region and the cellular region; and

(ii) the nuclear area feature that is based on the ratio of the area of the nucleus region to the nucleus volume projection;

dividing, by the processor based at least in part on the information surface values, the plurality of cells into one or more subgroups, the subgroups corresponding to one or more cell cycle stages.

2. The method of claim 1 , further comprising identifying, by the processor based on the plurality of information surface values, one or more intrinsic cell cycle times of the plurality of cells.

3. The method of claim 2 , wherein dividing the plurality of cells into one or more subgroups further comprises:

dividing the plurality of cells into one or more cell groups based on both the one or more cell cycle stages and the one or more intrinsic cell cycle times.

4. The method of claim 3 , further comprising determining, by the processor, an ensemble average of local specific heats of the plurality of cells in the one or more subgroups.

5. The method of claim 4 , further comprising integrating, by the processor, the ensemble average of local specific heat of the plurality of cells in the one or more subgroups over one or more of cell cycle stage and intrinsic cell cycle time.

6. The method of claim 3 , further comprising determining, by the processor, a log thermal capacity of local specific heat of the plurality of cells in the one or more subgroups.

7. The method of claim 6 , further comprising integrating, by the processor, the log thermal capacity of local specific heat of the plurality of cells in the one or more subgroups over one or more of cell cycle stage and intrinsic cell cycle time.

8. A system comprising:

one or more computers; and

one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:

receiving, by a processor, an image representing a plurality of cells that have each been identified in an area of the image and segmented into a nucleus region and a cellular region;

processing the image to generate a nuclear contrast feature that characterizes, for each of the plurality of cells, a temperature difference between the nucleus region and the cellular region based on a difference between pixel intensity values corresponding to the nucleus region and the cellular region in the image;

generating a nuclear area feature based on a ratio of an area of the nucleus region to a nucleus volume projection;

calculating, by the processor for each of the plurality of cells, an information surface value derived as a function of both:

(i) the nuclear contrast feature that characterizes the temperature difference between the nucleus region and the cellular region; and

(ii) the nuclear area feature that is based on the ratio of the area of the nucleus region to the nucleus volume projection;

dividing, by the processor based at least in part on the information surface values, the plurality of cells into one or more subgroups, the subgroups corresponding to one or more cell cycle stages.

9. The system of claim 8 , wherein the operations further comprise identifying, by the processor based on the plurality of information surface values, one or more intrinsic cell cycle times of the plurality of cells.

10. The system of claim 9 , wherein dividing the plurality of cells into one or more subgroups further comprises:

dividing the plurality of cells into one or more cell groups based on both the one or more cell cycle stages and the one or more intrinsic cell cycle times.

11. The system of claim 10 , wherein the operations further comprise determining, by the processor, an ensemble average of local specific heats of the plurality of cells in the one or more subgroups.

12. The system of claim 11 , wherein the operations further comprise integrating, by the processor, the ensemble average of local specific heat of the plurality of cells in the one or more subgroups over one or more of cell cycle stage and intrinsic cell cycle time.

13. The system of claim 10 , wherein the operations further comprise determining, by the processor, a log thermal capacity of local specific heat of the plurality of cells in the one or more subgroups.

14. The system of claim 13 , wherein the operations further comprise integrating, by the processor, the log thermal capacity of local specific heat of the plurality of cells in the one or more subgroups over one or more of cell cycle stage and intrinsic cell cycle time.

15. One or more non-transitory computer storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

receiving, by a processor, an image representing a plurality of cells that have each been identified in an area of the image and segmented into a nucleus region and a cellular region;

processing the image to generate a nuclear contrast feature that characterizes, for each of the plurality of cells, a temperature difference between the nucleus region and the cellular region based on a difference between pixel intensity values corresponding to the nucleus region and the cellular region in the image;

generating a nuclear area feature based on a ratio of an area of the nucleus region to a nucleus volume projection;

calculating, by the processor for each of the plurality of cells, an information surface value derived as a function of both:

(i) the nuclear contrast feature that characterizes the temperature difference between the nucleus region and the cellular region, and

(ii) the nuclear area feature that is based on the ratio of the area of the nucleus region to the nucleus volume projection;

dividing, by the processor based at least in part on the information surface values, the plurality of cells into one or more subgroups, the subgroups corresponding to one or more cell cycle stages.

16. The non-transitory computer storage media of claim 9 , wherein the operations further comprise identifying, by the processor based on the plurality of information surface values, one or more intrinsic cell cycle times of the plurality of cells.

17. The non-transitory computer storage media of claim 16 , wherein dividing the plurality of cells into one or more subgroups further comprises;

dividing the plurality of cells into one or more cell groups based on both the one or more cell cycle stages and the one or more intrinsic cell cycle times.

18. The non-transitory computer storage media of claim 17 , wherein the operations further comprise determining, by the processor, an ensemble average of local specific beats of the plurality of cells in the one or more subgroups.

19. The non-transitory computer storage media of claim 18 , wherein the operations further comprise integrating, by the processor, the ensemble average of local specific heat of the plurality of cells in the one or more subgroups over one or more of cell cycle stage and intrinsic cell cycle time.

20. The non-transitory computer storage media of claim 17 , wherein the operations further comprise determining, by the processor, a log thermal capacity of local specific heat of the plurality of cells in the one or more subgroups.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 11, 2024
From: MUKHOPADHYAY, SATABHISA; DASGUPTA, TATHAGATA; RAY, SUPRATIM GUHA
To: 4D PATH INC.
Reel/Frame 066715/0180 →
Continuity (5)
Continuation 17506192 · Oct 20, 2021
Continuation 16688910 · Nov 19, 2019
Continuation 15965664 · Apr 27, 2018
Provisional Application 62491774 · Apr 28, 2017
Related Publication 20240363242A1 · Oct 31, 2024
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