05
T'easy
AI-powered sperm detection, helping embryologists identify viable candidates in minutes instead of hours.
Client
Client
Robovision Healthcare / Brussels IVF
Robovision Healthcare / Brussels IVF
Type
Type
AI Healthcare · Product Design
AI Healthcare · Product Design
Role
Role
Lead Product Designer (Sole Designer)
Lead Product Designer (Sole Designer)
Year
Year
2026
2026
The challenge
The challenge
Finding sperm cells in testicular tissue is a painstaking and unpredictable process. Clinical embryologists manually examine samples under a microscope, often revisiting the same areas to distinguish viable candidates from surrounding tissue. In difficult cases, the search can take hours, demanding sustained concentration with no guarantee of success.
The challenge was to automate this repetitive process without removing clinical expertise from the decision-making loop, allowing embryologists to focus on validating findings rather than searching for them.
98%
Average sperm detection rate in the pilot
~58%
Reduction in analysis time compared with technicians
94.8%
AI detection precision in initial testing
Research & findings
Research & findings
TRUST BEFORE AUTOMATION
TRUST BEFORE AUTOMATION
Embryologists were cautious about relying on AI to identify viable sperm. Missing a critical finding or incorrectly classifying one could have significant clinical consequences. Every detection needed to be easy to locate, inspect, and verify.
Embryologists were cautious about relying on AI to identify viable sperm. Missing a critical finding or incorrectly classifying one could have significant clinical consequences. Every detection needed to be easy to locate, inspect, and verify.
CONTROL CANNOT BE COMPROMISED
CONTROL CANNOT BE COMPROMISED
Automated scanning introduced a new concern: losing control of the microscope at the moment a promising sperm cell was detected. Embryologists needed the ability to intervene, revisit findings, and take over when necessary.
Automated scanning introduced a new concern: losing control of the microscope at the moment a promising sperm cell was detected. Embryologists needed the ability to intervene, revisit findings, and take over when necessary.
ATTENTION IS A LIMITED RESOURCE
ATTENTION IS A LIMITED RESOURCE
Embryologists manage multiple laboratory tasks simultaneously. Requiring constant supervision of an automated scan would simply replace one repetitive task with another. Progress and important findings needed to remain visible from a distance.
Embryologists manage multiple laboratory tasks simultaneously. Requiring constant supervision of an automated scan would simply replace one repetitive task with another. Progress and important findings needed to remain visible from a distance.
SETUP DEFINES RELIABILITY
SETUP DEFINES RELIABILITY
Reliable detection depends on more than AI accuracy. Microscope connectivity, dish positioning, lighting, and focal calibration all affect scanning quality. The setup experience needed to make these technical dependencies manageable and repeatable.
Reliable detection depends on more than AI accuracy. Microscope connectivity, dish positioning, lighting, and focal calibration all affect scanning quality. The setup experience needed to make these technical dependencies manageable and repeatable.
Design Principles
Design Principles
The Solution
The Solution
A unified workspace connecting AI-powered sperm detection with automated microscopy, giving embryologists greater control over time-consuming laboratory workflows.
The application brings three essential workflows together: guided microscope calibration, autonomous sample scanning, and AI-assisted detection review. By automating repetitive searching while keeping findings accessible for manual verification, T'easy allows embryologists to focus their attention where clinical expertise matters most.
A unified workspace connecting AI-powered sperm detection with automated microscopy, giving embryologists greater control over time-consuming laboratory workflows.
The application brings three essential workflows together: guided microscope calibration, autonomous sample scanning, and AI-assisted detection review. By automating repetitive searching while keeping findings accessible for manual verification, T'easy allows embryologists to focus their attention where clinical expertise matters most.
Designed to give attention back
Designed to give attention back
One of the smallest interface elements addressed one of the biggest workflow challenges: keeping embryologists informed without keeping them in front of the screen.
A distance-readable session timer and progress indicator made autonomous scanning easy to monitor at a glance. Instead of replacing manual searching with constant digital supervision, the interface gave specialists the freedom to move between laboratory tasks while remaining in control of the process.
One of the smallest interface elements addressed one of the biggest workflow challenges: keeping embryologists informed without keeping them in front of the screen.
A distance-readable session timer and progress indicator made autonomous scanning easy to monitor at a glance. Instead of replacing manual searching with constant digital supervision, the interface gave specialists the freedom to move between laboratory tasks while remaining in control of the process.
Key Learnings
Key Learnings
This project reinforced that successful automation isn't simply about removing manual work, but about giving people confidence to step away from it. In high-stakes clinical environments, trust depends on transparency, predictable system behavior, and the ability to regain control when needed. Designing across physical hardware, AI, and human expertise also highlighted the importance of making complex workflows approachable without hiding the information specialists need to make informed decisions.
This project reinforced that successful automation isn't simply about removing manual work, but about giving people confidence to step away from it. In high-stakes clinical environments, trust depends on transparency, predictable system behavior, and the ability to regain control when needed. Designing across physical hardware, AI, and human expertise also highlighted the importance of making complex workflows approachable without hiding the information specialists need to make informed decisions.
