Medical Device Development and Prototyping Laboratory
Our lab provides an elite, collaborative ecosystem for accelerating medical device validation, embedded software compliance, and next-generation diagnostic intelligence, supported by strategic partnerships with global industry leaders.
Core Research Pillars
Pillar 1: Biomedical Imaging and Digital Pathology
- Automated multi-spectral imaging
- Embedded sensor integration
- High-throughput optical engineering
Pillar 2: Medical Edge AI and Real-Time Digital Radiology
- Ultra-low latency model development
- Hardware-accelerated inference
- On-device DICOM data processing
- Production Server deployment pipeline
Connect with our Lab
Industry and Startups
Co-develop IP, leverage our rapid prototyping pipeline, or sponsor a directed research project.
Academic Researchers
Collaborate on interdisciplinary grants, access specialized imaging/edge computing infra-structure, or co-author papers.
Students (Grad / Undergrad)
Gain hands-on engineering experience with industry leaders.
Lab Infrasturucture and Equipment
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Imaging Hardware |
Advanced optical benches, custom sensor arrays, ZEISS microscopy hardware |
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Computing and AI |
Edge computing clusters, hardware accelerators, real-time testing rigs |
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Software and Toolchains |
MATLAB ecosystem, automated code generation tools for embedded deployment |
Active Projects
Project 1 MOPTAS National Autonomous Pathology Scannng System
Supported by TUSEB We accelerate digital transformation in Turkey's healthcare sector and create a turning point in the field of digital pathology.
Project 2 Advanced Imager Automation In partnership with ZEISS
We engineer automated imaging systems to improve precision and replace manual workflows in digital pathology. By ensuring consistent, high-accuracy data acquisition, we streamline analysis and overcome key engineering challenges to enhance diagnostic capabilities.
Project 3 Radiolgy AI Inference
We leverage the MATLAB Production Server™ to transition complex deep learning models from the design phase directly to clinical practice. We also develop Edge AI systems enabling critical, real-time radiology analysis with low-latency AI inference without requiring cloud connectivity.
Core Leaderships
Postal Address
Department of Biomedical Engineering, Yeditepe Univesity. İnönü Mh., Kayışdağı Cd. No:326/A, 34755 Ataşehir, İstanbul, Türkiye