SpermTracer is an AI-powered software application intended to assist trained laboratory personnel, including embryologists and andrologists, during sperm search, assessment and selection workflows for ICSI.
The App provides additional AI-assisted information to support the sperm selection process, across different sample types and routine laboratory preparation techniques.
By providing complementary information on sperm detection, motility and morphology, the software supports the embryologist during the final stage of sperm assessment and selection.
Unlike conventional statistical approaches based on predefined rules and parameters, SpermTracer uses Deep Neural Network (DNN) technology, a form of Machine Learning (ML).
The DNN architecture learns patterns and relationships from training data, enabling the software to analyse spermatozoa based on multiple characteristics rather than relying exclusively on predefined criteria.
As additional representative and appropriately labelled data become available, the model can be further trained, evaluated and refined.
This approach has the potential to provide more consistent and standardised AI-assisted sperm analysis, offering embryologists additional information to support their assessment and selection decisions.
The sperm assessment process can be performed in real time during ICSI, allowing embryologists to combine their professional experience and expertise with AI-assisted sperm detection, motility and morphological assessment.
This combination provides additional information to support sperm selection, particularly in complex or challenging cases where further assessment may be valuable.
By applying a consistent analytical approach, SpermTracer also has the potential to support greater standardisation across laboratory teams while complementing the professional judgement of individual embryologists.
The final sperm selection always remains with the embryologist.
It’s to have a valuable tool and make sperm selection during ICSI easier by using high-end technology.
