Automation, image analysis, guided workflows, hardware integration, and structured reporting for ZEISS-based environments. Built around your actual setup, your constraints, and your way of working.
Project-based: fixed scope, fixed price, with a practical delivery path from first use case to production-ready workflow.
SmartLabs is an expert software team working in and around ZEISS-based microscopy environments. We build the missing layer between the instruments' technical capabilities and your specific application requirements.
Most of our work is delivered as custom, project-based software for a specific use case, instrument setup, or operational constraint. Depending on the project, that may mean software inside ZEN, connected components around it, or an integration between the microscope workflow and external tools.
Independent of ZEISS, with seven years of hands-on experience across ZEN Blue, ZEN Black, and ZEN Core, SmartLabs works across research and industrial contexts where repeatability, usability, and maintainability matter.
Select the path that best fits your situation.
We help standardize setup, reduce operator variation, simplify complex runs, and produce more consistent outputs across users, sessions, and samples.
We act as your software delivery partner. You own the customer relationship. We scope, build, and hand over production-ready ZEN solutions.
Allow users to interact with your hardware or software directly from ZEN, through a familiar interface and convenient configuration patterns.
Examples from real microscopy and imaging workflows.
Deep-learning instance segmentation detects porosity, cracks, and inclusions on turbine alloy coupons, replacing manual metallographic inspection. Operator review step before the final PDF report.
End-to-end automation of illumination calibration, tile acquisition, threshold segmentation, and OISF density mapping across sectors. Cross-diametrical and full-wafer modes.
Template matching localises fiber regions; instance segmentation measures thickness at sub-pixel precision. Hybrid approach: automation handles detection, operator validates before reporting.
Acquires images at set intervals, estimates root tip displacement via image registration, and repositions the stage to keep a growing root in view through unattended overnight sessions.
Semantic segmentation (geometry + defect models) and a measurement library run on a secured intranet server. Results return as JSON overlays directly inside the customer's own application. One button replaces ruler-by-ruler manual work.
Monitors a shared folder for AFM line completion events, then triggers the matching LSM scan, achieving line-by-line synchronisation between two hardware-independent systems without modifying either.
Occasional notes on what we are building: workflow patterns, ZEN automation tips, and lessons from real projects. Roughly once a month, never more. Unsubscribe anytime.
A rough description is enough. We will come back with honest feedback on what is possible.