Automated Embryo Viability Prediction via Time-Lapse Image Classification
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Solution Overview
Problem
Current methods for assessing human embryo viability in IVF are inadequate, as they lack automation and fail to accurately predict implantation potential, often relying on manual observations and prolonged culture periods that can disrupt embryo integrity.
Innovation Solution
An automated imaging system that uses time-lapse images to generate image-based features, which are then input into a classifier to predict embryo viability, providing rankings and recommendations for selection or deselection based on likelihood of viability and chromosomal status without manual biological measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual morphologic observations are used to assess embryo viability, then simplicity of assessment is maintained, but accuracy and reliability of viability prediction deteriorate
Solution Approach 1:
The patent replaces manual mechanical observation and assessment with an automated imaging system that captures time-lapse images and uses computer vision algorithms to analyze embryo morphology. This substitution of mechanical/manual processes with automated optical and computational systems resolves the contradiction by providing both high measurement precision through objective image analysis and maintaining practical simplicity through automated operation.
Solution Approach 2:
The patent introduces time-lapse imaging as an intermediary between the embryo and the assessment process. The imaging system serves as a mediator that captures visual data over time, which is then processed by classification algorithms to predict viability. This intermediary approach enables accurate, non-invasive assessment without requiring direct manual intervention, thus improving prediction accuracy while maintaining operational simplicity.
2Loss of information
If extended culture to blastocyst stage is used to assess embryo quality, then more information about developmental potential is obtained, but embryo integrity is disrupted and culture period is prolonged
Solution Approach 1:
The patent performs preliminary assessment of embryo viability at the cleavage stage (day 3) using time-lapse imaging and classification algorithms, before the embryo reaches the blastocyst stage. This preliminary action provides sufficient information about developmental potential without requiring extended culture, thereby preventing disruption of embryo integrity while still obtaining critical viability information early in the process.
Solution Approach 2:
The system allows embryos to develop naturally without intervention or disruption, capturing their self-organizing developmental processes through non-invasive time-lapse imaging. The classification algorithm analyzes morphological features that emerge naturally during development, enabling assessment of developmental potential while allowing the embryo to maintain its integrity and follow its natural development trajectory.
3Reliability
If simple morphologic observations are used, then ease of operation is maintained, but measurement precision of embryo viability deteriorates
Solution Approach 1:
The patent replaces subjective manual morphologic observation with automated image analysis using computer vision and classification algorithms. This substitution eliminates human subjectivity and variability, significantly improving the reliability of viability assessment. The system automatically processes time-lapse images through trained classifiers to generate objective viability predictions, maintaining ease of operation through automated workflows that require minimal user intervention.
Solution Approach 2:
The system incorporates feedback loops where classification results are continuously refined based on image data and known outcomes. The automated assessment provides immediate, objective feedback on embryo viability, eliminating the delays and subjectivity of manual assessment. This feedback mechanism enhances reliability by enabling consistent, data-driven decisions while maintaining operational simplicity through automated reporting and recommendation systems.
4Loss of information
If time-lapse imaging is used to monitor embryo development, then information about developmental parameters is improved, but device complexity increases
Solution Approach 1:
The patent employs a universal time-lapse imaging platform that serves multiple functions: capturing morphological changes, measuring developmental timing parameters, and providing input for viability classification. This multi-functional system obtains comprehensive developmental information (cell division timing, morphology changes, developmental rate) through a single integrated platform, improving information quality while managing complexity through consolidation of functions into one versatile system.
Data Source
AI summary
Systems and methods for automated imaging and evaluation of image based features are disclosed herein. Method for automated imaging and evaluation of image based features can include receiving time-lapse images of at least one human embryo contained in a multi-well culture dish that can have a plurality of micro-wells. Image based features can be automatically generated from the time-lapse images of the human embryo. The image based features, which can include a cavitation feature, can be inputted into a classifier. The classifier can automatically and directly generate a viability prediction with the classifier from the image-based features.