Alvaro Gonzalez

US Patent:

20230081232, Mar 16, 2023

Filed:

Feb 17, 2021

Appl. No.:

17/799198

Inventors:

- Pleasanton CA, US
Florian Baumgartner - Stockholm, SE
Alvaro J. Gonzalez Lozano - Livermore CA, US

Assignee:

10x Genomics, Inc. - Pleasanton CA

International Classification:

G06V 20/69
G06V 10/774
G06V 10/776
G16H 50/30

Abstract:

Systems and methods for machine learning tissue classification are provided herein. Datasets for a plurality of biological samples are first generated. The dataset of each biological sample includes image data of the biological sample and molecular measurement data of the biological sample captured at a plurality of capture areas of the biological sample. The capture areas of the biological sample are registered to corresponding locations in the image data of the biological sample. Then, a machine learning module is trained with the datasets. Another dataset for another biological sample is generated (e.g., in the same or similar manner as the other datasets). And, the other dataset of the other biological sample is processed through the trained machine learning module to predict features in the other biological sample.