Software systems that connect scientific instruments with computational logic, automated control, and data-processing workflows.
Systems can include instrument APIs, control logic, scheduling, measurement acquisition, validation, and automated analysis.
Applications include laboratory instruments, measurement systems, automated experiments, and research facilities.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.