Granted Patent B2

US 12,327,618 · App. 18/607,070 · Granted Jun 10, 2025

Inventors: Matthew O. Leavitt (Salt Lake City, UT); Sorin Musat (Bucharest, RO)

Assignee: LEAVITT MEDICAL, INC.

G16H10/40A61B6/5252A61B8/5292B01L3/508G01N1/312G01N35/00029G01N35/00732G01N35/00871G16H10/60G16H30/40G16H50/20G16H80/00H04M17/307B01L2300/021B01L2300/12G01N2035/00772G01N2035/00831G01N2035/00851G01N2035/00881

Abstract

Claims (24)

1. A method for tissue sample processing, comprising:

providing a matrix for receiving a tissue sample, wherein the matrix has a sectionable code and

measurement marks positioned in the matrix at predetermined initial intervals, and wherein the matrix is configured to exhibit a shrinkage rate substantially the same as a shrinkage rate of the tissue sample when subjected to a pathological process; taking a first image of the tissue sample in the matrix; transmitting the first image to a central network including at least a processor and a database;

wherein the processor is programmed to process images of the tissue sample and matrix so as to one or more of: interpret measurement marks, distinguish between the tissue sample and adjacent portions of the matrix, measure features of the tissue sample, or identify the sectionable code in the matrix;

and wherein the processor further is programmed to correlate the tissue sample and images thereof with a particular sectionable code in the corresponding matrix, for digitally registering the matrix and the tissue sample and correlating the matrix and the tissue sample to a patient from which the tissue sample was obtained and wherein said processor is programmed through machine learning;

identifying, from the first image, the sectionable code with the processor;

digitally storing the sectionable code in the database; correlating the stored sectionable code with identification information of a patient from which the tissue sample was obtained;

taking a second image of the tissue sample in the matrix having the sectionable code and measurement marks after at least some pathological processing;

transmitting the second image to the central network;

identifying, from the second image, the sectionable code with the processor;

identifying, from the second image, the measurement marks with the processor; and

correlating the second image with the identification information of the patient from which the tissue sample was obtained.

2. The method of claim 1 , wherein the processor is further programmed to process the images of the tissue sample so as to identify depth gauges, further comprising identifying, from the second image, a depth gauge of the matrix with the processor.

3. A tissue sample-receiving matrix, comprising:

a sectionable machine-readable barcode;

at least one tissue sample receptacle; and

measurement marks formed at predetermined initial intervals along at least one sidewall of the at least one tissue sample receptacle,

wherein the tissue sample-receiving matrix comprises a material comprising one or more proteins and one or more lipids.

4. The tissue sample-receiving matrix of claim 3 , further comprising at least one depth gauge.

5. The tissue sample-receiving matrix of claim 4 , wherein the depth gauge comprises an angled surface of the tissue sample-receiving matrix.

6. The tissue sample-receiving matrix of claim 3 , wherein the measurement marks are formed at predetermined initial intervals of between 1 mm and 0.25 inch.

7. The method of claim 1 , wherein the measurement marks are at predetermined initial intervals of between 1 mm and 0.25 inch.

8. The method of claim 1 , wherein the processor is further programmed to process the images of the tissue sample so as to identify and locate cellular material of interest in the tissue sample.

9. The method of claim 1 , wherein the processor is further programmed to process the images of the tissue sample so as to determine a percent involvement of identified abnormal cells.

Assignments (1)

Continuity (5)

References Cited (26)