Automation, broadly defined, is the mechanization of the steps in a procedure. Through mechanization of analyses there is increased reproducibility of results. Automation allows a reduction of human error and laboratory expenses, which is important in these economic times, as laboratories are challenged with budgetary constraints.
In 1957 the first completely automatic method for colorimetric analysis was reported,1 and then the analytical system used was brought to the market as the AutoAnalyzer by the company Technicon. Since then, continuous scientific and technological advances as well as developments in robotics and information technology have led to the introduction of the wide range of automated analyzers currently in the market, which can be applied to different working laboratory environments. Though automation reduces the hands-on intervention and the time needed to set up, run, and analyze results, human intervention is still required for loading/unloading, operation, and instrument maintenance, as well as for the interpretation of results.
Source: RocheDiagnosticsUSA
