Software & Data Analysis
We develop custom software solutions to control experiments, acquire data, and extract meaningful results from complex physical processes.
By combining control, measurement, and analysis into integrated workflows, we enable efficient experimentation and high-quality data generation.
From Data Acquisition to Insight
Experimental testing often produces large amounts of raw data, but meaningful results depend on how this data is processed and interpreted.
We focus on:
- Extracting relevant information from complex datasets
- Automating evaluation workflows
- Generating structured and comparable results
This enables deeper understanding of physical processes beyond standard measurements.
Integrated Control & Analysis
A key strength is the integration of control and analysis within a single workflow.
We develop software for:
- Control of experimental systems (e.g. heaters, power supplies, test rigs)
- Automated data acquisition and logging
- Real-time or post-process analysis of results
This allows experiments to be:
- Executed in a controlled and repeatable manner
- Evaluated automatically during or immediately after testing
- Iterated efficiently based on results
Advanced Data Extraction
Many physical processes contain information that is not directly accessible through conventional measurements.
We develop analysis methods to extract such information, for example:
- Optical tracking of fluid behavior and surface interaction
- Quantification of dynamic processes from image sequences
- Extraction of multi-parameter relationships from experimental data
This enables access to data that is often not captured in standard testing approaches.
Automation & Efficient Workflows
By automating control and analysis, we enable:
- Reduction of manual evaluation effort
- Consistent and reproducible data processing
- Rapid iteration of experiments and parameter studies
In many cases, experiments can be executed and evaluated in tightly coupled workflows, significantly accelerating development cycles.
Multi-Parameter Analysis
Complex systems often depend on multiple interacting parameters.
We support:
- Structured evaluation of multi-parameter datasets
- Identification of dominant effects and correlations
- Preparation of datasets suitable for advanced analysis methods
This approach enables deeper insight into system behavior and supports informed decision-making.
Custom Software Development
We develop tailored software solutions adapted to specific experimental requirements.
This includes:
- Control software for test systems and instrumentation
- Data acquisition and synchronization tools
- Analysis software for experimental datasets
- Integration of multiple systems into unified workflows
- Implementation using established platforms and technologies such as Raspberry Pi and Arduino-compatible systems, where appropriate
These solutions are designed to match the specific needs of each project.
Enabling Better Experiments
Software and data analysis enable:
- Efficient execution of complex experiments
- Extraction of meaningful results from large datasets
- Faster iteration and development cycles
- Improved understanding of system behavior
Typical Use Cases
- Automated evaluation of experimental data
- Control and monitoring of test systems
- Image-based analysis of physical processes
- Multi-parameter studies and data exploration
Frequently Asked Questions
Can analysis be automated?
Yes, analysis workflows can be partially or fully automated depending on the application.
Is this only for large datasets?
No, even small datasets can benefit from structured and automated analysis.
Can software be adapted to specific experiments?
Yes, all solutions are tailored to the specific requirements of each test setup.
Is real-time analysis possible?
Yes, depending on the application, analysis can be integrated directly into the experimental workflow.