Laboratory robotics is the act of using robots in biology, chemistry or engineering labs. For example, pharmaceutical companies employ robots to move biological or chemical samples around to synthesize novel chemical entities or to test pharmaceutical value of existing chemical matter. Advanced laboratory robotics can be used to completely automate the process of science, as in the Robot Scientist project. Laboratory processes are suited for robotic automation as the processes are composed of repetitive movements (e.g., pick/place, liquid/solid additions, heating/cooling, mixing, shaking, and testing). Many laboratory robots are commonly referred as autosamplers, as their main task is to provide continuous samples for analytical devices.
History The first compact computer controlled robotic arms appeared in the early 1980s, and have continuously been employed in laboratories since then. These robots can be programmed to perform many different tasks, including sample preparation and handling. Yet in the early 1980s, a group led by Masahide Sasaki, from Kochi Medical School, introduced the first fully automated laboratory employing several robotic arms working together with conveyor belts and automated analyzers. The success of Sasaki's pioneer efforts made other groups around the world to adopt the approach of Total Laboratory Automation (TLA). Despite the undeniable success of TLA, its multimillion-dollar cost prevented that most laboratories adopted it. Also, the lack of communication between different devices slowed down the development of automation solutions for different applications, while contributing to keeping costs high. Therefore, the industry attempted several times to develop standards that different vendors would follow in order to enable communication between their devices. However, the success of this approach has been only partial, as nowadays many laboratories still do not employ robots for many tasks due to their high costs. Recently, a different solution for the problem became available, enabling the use of inexpensive devices, including open-source hardware, to perform many different tasks in the laboratory. This solution is the use of scripting languages that can control mouse clicks and keyboard inputs, like AutoIt. This way, it is possible to integrate any device by any manufacturer as long as they are controlled by a computer, which is often the case. Another important development in robotics which has important potential implications for laboratories is the arrival of robots that do not demand special training for their programming, like Baxter, the robot.
Applications
Low-cost laboratory robotics
The high cost of many laboratory robots has inhibited their adoption. However, currently there are many robotic devices that have very low cost, and these could be employed to do some jobs in a laboratory. For example, a low-cost robotic arm was employed to perform several different kinds of water analysis, without loss of performance compared to much more expensive autosamplers. Alternatively, the autosampler of a device can be used with another device, thus avoiding the need for purchasing a different autosampler or hiring a technician for doing the job. The key aspects to achieve low-cost in laboratory robotics are 1) the use of low-cost robots, which become more and more common, and 2) the use of scripting, which enables compatibility between robots and other analytical equipment.
Robotic, mobile laboratory operators and remote-controlled laboratories In July 2020 scientists reported the development of a mobile robot chemist and demonstrate that it can assist in experimental searches. According to the scientists their strategy was automating the researcher rather than the instruments – freeing up time for the human researchers to think creatively – and could identify photocatalyst mixtures for hydrogen production from water that were six times more active than initial formulations. The modular robot can operate laboratory instruments, work nearly around the clock, and autonomously make decisions on his next actions depending on experimental results. There is ongoing development of "remote controlled laboratories" that automatically perform many life sciences experiments per day and can be operated, including in collaboration, from afar.
Pharmaceutical applications One major area where automated synthesis has been applied is structure determination in pharmaceutical research. Processes such as NMR and HPLC-MS can now have sample preparation done by robotic arm. Additionally, structural protein analysis can be done automatically using a combination of NMR and X-ray crystallography. Crystallization often takes hundreds to thousands of experiments to create a protein crystal suitable for X-ray crystallography. An automated micropipet machine can allow nearly a million different crystals to be created at once, and analyzed via X-ray crystallography.
Reproducibility verification
Diagnostic testing for pathogens
For example, there are robots that are used to analyze swabs from patients to diagnose COVID-19. Automated robotic liquid handling systems have been or are being built for lateral flow assays. It minimizes hands-on time, maximizes experiment size, and enables improved reproducibility.
Biological laboratory robotics
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