Detecting a defect within a bodily sample

Patent metadata

Field	Value
Publication number	US-2022019070-A1
Application number	US-202117490767-A
Country	US
Kind code	A1
Filing date	Sep 30, 2021
Priority date	Sep 17, 2015
Publication date	Jan 20, 2022
Grant date	—

Abstract

Apparatus and methods are described for analyzing a bodily sample. One or more microscope images of the bodily sample are acquired. Using at least one computer processor at least one sample-informative feature that is indicative of a characteristic of the bodily sample is extracted from the images. Based upon the sample-informative feature, the computer processor determines that there is a defect associated with the bodily sample, and determines a source of the defect. Other applications are also described.

First claim

1 . Apparatus for analyzing a bodily sample, the apparatus comprising:
a microscope system configured to acquire one or more microscope images of the bodily sample; an output device; and at least one computer processor configured to:
extract, from the one or more images, at least one sample-informative feature that is indicative of a characteristic of the bodily sample,
based upon the sample-informative feature:
determine that there is a defect associated with the bodily sample, and
determine a source of the defect, and

generate an output upon the output device, in response thereto.

2 . The apparatus according to claim 1 , wherein the at least one computer processor is configured to generate an output indicating the source of the defect.

3 . The apparatus according to claim 1 , wherein the apparatus is configured for use with a sample carrier and the microscope system is configured to acquire one or more microscope images of the bodily sample while the bodily sample is housed within the sample carrier, and wherein the at least one computer processor is configured to determine that the source of the defect is the sample carrier, based upon the sample-informative feature.

4 . The apparatus according to claim 1 , wherein the bodily sample includes a sample that contains blood, and wherein the computer processor is configured to perform a blood count on the sample that contains blood.

5 . The apparatus according to claim 4 , wherein the computer processor is configured to perform a complete blood count on the sample that contains blood.

6 . The apparatus according to claim 1 , wherein the apparatus is configured for use with a sample carrier and the microscope system is configured to acquire one or more microscope images of the bodily sample while the bodily sample is housed within the sample carrier, and wherein the at least one computer processor is configured to determine that the source of the defect is within a given portion of the sample carrier, based upon the sample-informative feature.

7 . The apparatus according to claim 6 , wherein the at least one computer processor is configured to use data from other portions of the sample carrier as inputs for analyzing features of the bodily sample that are detected within the given portion of the sample carrier.

8 . The apparatus according to claim 6 , wherein the at least one computer processor is configured to ascribe lower weight to features of the bodily sample that are detected within the given portion of the sample carrier relative to features of the bodily sample that are detected within other portions of the sample carrier.

9 . The apparatus according to claim 6 , wherein the sample carrier contains a plurality of chambers, and wherein the at least one computer processor is configured to determine that the source of the defect is within a given chamber of the sample carrier, based upon the sample-informative feature.

10 . The apparatus according to claim 6 , wherein the microscope system is configured to acquire microscope images of respective imaging fields of the bodily sample within the sample carrier, and wherein the at least one computer processor is configured to determine that the source of the defect is within a given set of imaging fields of the sample carrier, based upon the sample-informative feature.

11 . The apparatus according to claim 6 , wherein the microscope system is configured to acquire microscope images of respective imaging fields of the bodily sample within the sample carrier, and wherein the at least one computer processor is configured to determine that the source of the defect is within a given imaging field of the sample carrier, based upon the sample-informative feature.

12 . The apparatus according to claim 1 , wherein the apparatus is configured for use with a diluent that is configured to dilute the bodily sample and the microscope system configured to acquire one or more microscope images of the bodily sample when the bodily sample is diluted by the diluent, and wherein the at least one computer processor is configured to determine that the source of the defect is the diluent, based upon the sample-informative feature.

13 . The apparatus according to claim 12 , wherein the at least one computer processor is configured to determine that the source of the defect is the diluent by detecting foreign objects with characteristics that are common to a plurality of bodily samples.

14 . The apparatus according to claim 12 , wherein the apparatus is configured for use with a sample carrier and the microscope system configured to acquire one or more microscope images of the bodily sample while the bodily sample is housed within the sample carrier.

15 . The apparatus according to claim 14 , wherein the at least one computer processor is configured to determine that the source of the defect is the diluent by detecting foreign objects with characteristics that are common to a plurality of portions of the sample carrier.

16 . The apparatus according to claim 14 , wherein the sample carrier contains a plurality of chambers, and wherein the at least one computer processor is configured to detect cross-contamination between chambers of the sample carrier.

17 . The apparatus according to claim 1 , wherein the at least one computer processor is configured to determine that the source of the defect is the bodily sample itself, based upon the sample-informative feature.

18 . The apparatus according to claim 17 , wherein the at least one computer processor is configured to determine that the source of the defect is the bodily sample itself by detecting foreign objects within the bodily sample and determining that the amount of foreign objects that is detected within a given portion of the sample is proportional to the size of the portion of the sample.

19 . The apparatus according to claim 18 , wherein, in response to detecting foreign objects within the bodily sample, the at least one computer processor is configured to adjust a threshold for diagnosis of a given condition based upon analysis of the bodily sample.

20 . The apparatus according to claim 19 , wherein the bodily sample includes a blood sample, and wherein the at least one computer processor is configured to adjust a threshold for a number of pathogens within the blood sample that is sufficient to deem the blood sample to be infected based upon a relationship between a concentration of foreign objects within the blood sample and a concentration of red blood cells within the sample.

21 . A method for analyzing a bodily sample, the method comprising:
acquiring one or more microscope images of the bodily sample; using at least one computer processor:
extracting, from the one or more images, at least one sample-informative feature that is indicative of a characteristic of the bodily sample,
based upon the sample-informative feature:
determining that there is a defect associated with the bodily sample, and
determining a source of the defect, and

generating an output, in response thereto.

Assignees

• S D Sight Diagnostics Ltd

Inventors

• Eshel Yochay Shlomo
• Lezmy Natalie
• Gluck Dan
• Houri Yafin Arnon
• Pollak Joseph Joel

Classifications

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06T2207/30101

  Blood vessel; Artery; Vein; Vascular · CPC title

• G06T2207/30024

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

• G06T2207/10056

  Microscopic image · CPC title

• G02B21/367 Primary

  providing an output produced by processing a plurality of individual source images, e.g. image tiling, montage, composite images, depth sectioning, image comparison · CPC title