The days when scientists used to scribble observations on notebooks are long gone. Enormous amounts of data are generated in the lab everyday and effective methods are essential to collate and analyze it. Extensive use is of utmost importance in the R&D lab where software is utilized to access preconfigured databases to identify synthesized compounds. Sample management, assay data management, data mining, data analysis, and electronic laboratory notebook (ELN) integration are some of the major applications of software in the laboratory. They enable the syncing of various analytical instruments in the lab to come up with a comprehensive and holistic solution.
In this immensely competitive world, squeezing the maximum efficiency out of every department, including the R&D labs, is a constant issue. 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 experimentation and to design effective follow-up projects or develop alternative approaches to their work instead of spending their days performing tasks of tedious repetition.
Apart from the reduction of mundane and tedious tasks the market is also driven by the need for consistent quality as 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 based on your data. By taking out the human element, more consistency is achieved. Great advances have been made in the molding of plastics thereby enabling handling of smaller liquid volumes which has also reduced the volumes of reagents being used and development of micro and nanolitre plates to fit in with the automated liquid handling equipment.
Major points in modern life science are validation and data quality; legal validation, patents, and clinical testing have become crucial issues, automation enables a much higher reproducibility and better documentation of data and allows the production of more data points with great ease. It also ensures the safety of personnel in the presence of infectious or potentially hazardous material.
Automation is used is a wide variety of life sciences applications ranging from proteomics to systems biology. High throughput is the core driving factor in clinical diagnostics where profits are driven by the number of samples. Total automation is generally preferred in such labs and manufacturing setups. Research labs and academic institutions are generally opting for modular automation wherein they reduce the human intervention in tedious and repetitive tasks but still involve manually in a considerable number of tasks. With most of the instruments being automated, the role of software is more prominent as labs are shifting towards centralized control.
The report analyzes the market across various geographies with the key trends in each region. It provides the market share and profiles of the top companies involved in lab automation with insights on how the market will vary within the next five years and how the companies are strategically planning.
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