The Global Lab Automation in Protein Engineering 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 .
Request for Sample Copy of Global Lab Automation in Protein Engineering Market Report @ http :// www . orbisresearch . com / contacts / request-sample / 223734
Protein engineering involves various steps like macromolecular structure determination , from scaling data to calculating an electron density map . Software can be used to improve electron density maps through a statistical approach in combining experimental X-ray diffraction data with information about the expected characteristics of an electron map . Automation helps scientists to understand and solve the mysteries of protein dysfunction , including misfolding , aggregation , and abnormal movement . This will , in turn , help in monitoring the expression level of a target protein facilitating more effective drug discovery . 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 .
Browse The Complete Report @ http :// www . orbisresearch . com / reports / index / global-labautomation-in-protein-engineering-market-2017-2022
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 .
2