An intelligent photon microscopy control system using AI, deep neural networks and GPU parallel computing to automate tissue localisation, scanning and virtual staining.
AI DevelopmentCustom Software
Concept UI based on the project capabilities. Actual client interface not shown.
The challenge
Turning complex expertise into a reliable AI workflow
Rapidly detect tissue contours and coordinate analytical results with precision microscope controls.
Reduce the time and sample degradation associated with traditional chemical staining procedures.
Process and share large-scale imaging data between pathology laboratories and operating rooms in real time.
The solution
A purpose-built intelligent platform
The system combines AI analysis with microscope control modules to locate tissue sections and perform high-precision scanning. Deep neural networks generate high-contrast virtual staining from fluorescence slides, while dedicated data channels move imaging data to a central GPU computing architecture.
AIDeep Neural NetworksGPU Parallel ComputingHigh-Speed Data Transfer
Automated localisation
Detects tissue contours and coordinates precise scanning with mechanical control modules.
Virtual staining
Uses deep neural networks to produce high-contrast structural images without traditional chemical staining.
Real-time collaboration
Synchronises processed imaging results between the laboratory and operating room.
The outcome
Practical value from applied AI
The platform shortens experimental workflows, improves scanning consistency and gives clinical teams more timely access to processed pathology information.
