Article

All laboratories have different research needs, technology requirements, and workflow patterns. Because of these unique features, each lab manager is tasked with what can be a difficult decision whether to bolster the lab with the assistance of a third-party facility or to do the work in-house.

A growing number of scientists are working for firms designing software that models chemical and physical processes.

In recent years, the growing trend to resolving workload jams and bottlenecks within laboratories has been to rely on automation. But is machinery and automation really the answer, or is the problem more deeply seated? Could the issues instead be resolved by looking at the processes and methods of working?








