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This situation leads to a waste of resources: Available equipment needs to be replaced for compatibility reasons, software drivers have to be purchased or developed, and data conversion is time consuming.
Such technical obstacles also limit the complexity of integrated laboratory robotic platforms, and thereby impede the development of higher level autonomous experimentation systems.
SiLA enables researchers to focus on their scientific questions by reducing equipment connectivity effort to a minimum. This is achieved by using proven, tested and maintained documentation and code.
==History==
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[[Category:Automation]]
[[Category:Life sciences industry]]
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