Science - Innovation @ Competence

Mobile robots are new in lab environments - these areas are structural variable and sophisticated.

Mobile agents can fill the gap between different ambient conditions in different lab types and they can support the human operator and lab technician.

Design and Development of an automated tube storage as a liquid handling workstation integration -including features as i.e.  internal temperature control, tube identification, liquid properties identification and more smart functions like capping / decapping.

Multiple processes and applications require multi-parametric data acquisition and handling.

CELISCA works to find solutions for environmental problems as well as for air and space applications, focussed to elements & molecules.

CELISCA's researcher develop control systems to allow several sub-processes to be executed in parallel. A major task is the efficient scheduling  and the optimized resource mana-gement inside a defines scope: lab, part or whole enterprise.

In this regards all robots, analyzers, storages as well as labware and samples -also "the man in the loop" - subjects for optimization. 

Doing labwork close to the human's operation. For some processes this is a need to fulfill the needs of existing SOPs evaluated and certified by standard organizations. In this case more DOFs in the managing robots are required - i.e. in Dual Arm robots. Here it is important to design a special software environment needed to realize an efficient workflow.

In the field of life sciences the rules necessary for the different types of application always have the priority in executing the different process steps.

So, automated methods to be developed must consider this as an highly important circumstance and allow an adequate design of the automated experiment. 

Efficient tools for automated systems for cell culturing are subjects of CELISCAs research efforts. Beside adherent 2D-cell culturing also non-adherent cell systems and 3D-cell systems are of increased interest.

Accelerating analyses can be done by new and robust methods for sample prep - filtering, derivatizations can be performed in parallel. CELISCA is looking for new ways to eliminate complex matrix structures in samples, automatically.