The Global Lab Automation in Drug Discovery market is valued at USD XX. XX billion in 2016 and is expected to reach a value of USD XX. XX billion by the end of 2022, growing at a projected CAGR of XX. XX % during the forecast period of 2017 – 2022. The emergence of robotics has transformed the typical workday for scientists around the world. With the advent of automation techniques, scientists are now able to set up, run, and analyze the results of experiments in a fraction of the time they needed in the past. In today ' s world, pulling maximum efficiency out of every department, including the R & D labs, is a major issue.
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Integrated robot systems are used to transport assay-microplates from station to station for sample and reagent addition, mixing, incubation, and finally readout or detection. These systems can usually prepare, incubate, and analyze many plates simultaneously, further speeding the data-collection process. High throughput screening is a major area in drug discovery where automation plays an important role. Automation of routine laboratory procedures, by the use of dedicated work stations and software to program instruments, allows associate scientists and technicians to think creatively about the implications of their experiments and to design effective follow-up projects or develop alternative approaches to their work instead of spending their days repeating tedious tasks.
Apart from reducing mundane tasks, the market for laboratory automation is also driven by the need for consistency in quality. Because the cost of an error is very high in a scientific paper or developing a drug, even fairly low error rates can have a profound impact on the conclusions you make downstream.
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It is believed that taking out the human element helps in achieving more consistency. Great advances have been made in the molding of plastics that has reduced the volumes of reagents used and enabled handling of smaller liquid volumes easy. These advancements have worked in favor of the development of micro and nano-litre plates to fit in with the automated liquid handling equipment.
Validation and data quality play a major role in modern life science. Legal validation, patents, and clinical testing have become crucial issues. Automation enables a much higher
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