Systems and methods for automated assessment of artificial tissue

The geometric encoding of artificial tissue phenotype using image-based processing in a bioreactor system addresses the variability issues in manual inspection, improving the accuracy and scalability of artificial tissue quality control and supporting drug discovery processes.

WO2025014702A2PCT designated stage expired Publication Date: 2025-01-16VALO HEALTH INC
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Patent Information

Application Number
PCT/US2024/036547
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-07-07
Filing Date
2024-07-02
Publication Date
2025-01-16

AI Technical Summary

Technical Problem

Manual inspection of artificial tissue during maturation leads to user-induced bias, resulting in high variability in quality, which affects downstream tasks like drug discovery and inhibits large-scale production, and makes it difficult to identify variability in experimental outcomes.

Method used

A method for geometric encoding of tissue phenotype using image-based processing, involving a bioreactor system with a sensor assembly and a QC unit that extracts geometric features from images of artificial tissue to generate a tissue descriptor, reducing user bias and improving quality control accuracy.

Benefits of technology

The automated system decreases user assessment bias, increases scalability, and generates more accurate and reliable tissue quality assessments, enhancing downstream drug discovery and development tasks by providing quantitative explanations of tissue state and phenotype.

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Abstract

Systems and methods are described herein for geometric encoding of tissue phenotype. At least in some aspects, the systems and methods comprise obtaining an image of an artificial tissue under a first set of conditions. The systems and methods further compromise extracting a first region from the image such that the first region circumscribes the artificial tissue within the image. The systems and methods further compromise extracting one or more geometric features from the first region, wherein the one or more geometric features provide a shape-based characterization of the artificial tissue. The system and methods further comprise generating a first tissue descriptor based on the one or more geometric features. The first tissue descriptor can encode a phenotype of the artificial tissue under the first set of conditions. Still further, in some aspects, the systems and method may comprise implementation of quality control (QC) of artificial tissue.
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