Laboratory Automation: Key Challenges in the Life Sciences

While industrial and clinical laboratory settings have relied on automation for several decades to leverage the numerous benefits of minimizing human input and enhancing fine-grain control of all processes, the field of life sciences is yet to adopt automation to this level and still relies heavily on skilled staff to manually run tasks.

Lab Automation

Lab Automation. Image Credit: SFC/Shutterstock.com

There is a need for life sciences to adopt automation in order to reduce the time and resources associated with manual processes as well as to enhance the quality, reproducibility, safety, and reliability of outcomes. However, before life sciences can make the most of automation, it must overcome some key challenges. We discuss these challenges below.

Skills gap

The advent of technical advances, such as those associated with laboratory automation, calls upon a new skillset from technicians. The challenge is that many laboratory technicians working in the life sciences sector are trained manually running tasks and are not familiar with the sophisticated software that is employed to oversee laboratory automation.

Machinery can be adopted to automate almost all parts of a scientific protocol, from organizing test orders, controlling specimen routes to inspecting the quality of test results, and diagnosing machine failures or deviations.

For laboratory automation in life sciences to be successful, staff must be thoroughly trained on how to use new software. Additionally, as the technology continues to develop, staff need to stay up to date with all advancements. Therefore, to overcome this challenge, regular training must be implemented as a duty of all laboratory staff.

Incorrect application

While automation is being widely adopted for the numerous benefits it brings, integrating automotive processes does not necessarily guarantee success. The incorrect application of automation within life sciences laboratories can result in decreased efficiency. Therefore, it is vital that those implementing automation technology must fully understand its capabilities and impact so that technology is only adopted where it presents a benefit.

Failure to correctly adopt automation can lead to a serious negative impact to test results. Due to their nature, errors made by automated machines have the capability of rapidly propagating those errors before they are detected. In addition, automation that is incorrectly applied can reduce the test reproducibility and weaken the consistency between results obtained at separate laboratories.

Further to this, inconsistency between results obtained from the same experimental protocol conducted at different sites can be caused due to variations in equipment set up, calibration errors, and use of different input materials. Machine-to-machine variability between laboratories is difficult to control for and remains a significant challenge to life sciences laboratories that choose to adopt automation technology.

Reduction of creativity and innovation

With the adoption of automation comes a lessening of creative thinking. Staff are no longer required to run tests manually, they are, therefore, less directly involved with the experimental design, and opportunities to adjust the protocol are less frequent. This can impact the creativity that occurs in the laboratory and, as a result, there may be a reduction in innovation.

Researchers have less opportunity to be immersed in the protocol and have inspiration as to how it can be optimized or adapted. In addition, staff working with automated equipment may assume that the machinery is optimized to the best of its capabilities, with no room for further innovation. Scientific advancements have always relied on innovation, therefore, the field of life sciences faces the challenge of maintaining high levels of creativity and innovation while adopting automation technology.

The expense of automation equipment is hard to justify

One of the greatest challenges to life sciences laboratories wanting to adopt automation systems is the significant upfront cost of obtaining new equipment. Commercially available equipment is expensive, and machinery that is tailored to specific purposes is even more so.

Cell culture experiments are common in life science research. The procedure is time-consuming and requires hours of lab technician’s focussed attention. Equipment to automate this process, however, still costs roughly $1 million to set-up, putting it out of reach of most academic institutions. While it has been available for two decades, the equipment remains significantly expensive, preventing the widespread adoption of automation equipment in life sciences and academic research.

Often, scientific funding to academic institutions is obtained through grants. These programs rarely fund new equipment and require researchers to innovate novel methodologies to obtain the answers to their research questions. This further reduces the adoption of automation within life sciences research.

Curbed development of automation equipment for life sciences

Finally, financial challenges that prevent life science laboratories from adopting automation equipment then, in turn, negatively impact the development of such equipment, particularly for its use in life sciences. Without demand and revenue from life sciences laboratories purchasing equipment, the commercial organizations who develop such equipment are limited as to how much they can invest in developing it further.

Overall, there is a lot to be gained from adopting laboratory automation in life science laboratories, such as enhanced quality, reproducibility, safety, and reliability. However, there are a number of key limitations that remain to be addressed for it can reach its full potential.

Sources:

Further Reading

Last Updated: Mar 18, 2021

Sarah Moore

Written by

Sarah Moore

After studying Psychology and then Neuroscience, Sarah quickly found her enjoyment for researching and writing research papers; turning to a passion to connect ideas with people through writing.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Moore, Sarah. (2021, March 18). Laboratory Automation: Key Challenges in the Life Sciences. AZoLifeSciences. Retrieved on October 17, 2021 from https://www.azolifesciences.com/article/Laboratory-Automation-Key-Challenges-in-the-Life-Sciences.aspx.

  • MLA

    Moore, Sarah. "Laboratory Automation: Key Challenges in the Life Sciences". AZoLifeSciences. 17 October 2021. <https://www.azolifesciences.com/article/Laboratory-Automation-Key-Challenges-in-the-Life-Sciences.aspx>.

  • Chicago

    Moore, Sarah. "Laboratory Automation: Key Challenges in the Life Sciences". AZoLifeSciences. https://www.azolifesciences.com/article/Laboratory-Automation-Key-Challenges-in-the-Life-Sciences.aspx. (accessed October 17, 2021).

  • Harvard

    Moore, Sarah. 2021. Laboratory Automation: Key Challenges in the Life Sciences. AZoLifeSciences, viewed 17 October 2021, https://www.azolifesciences.com/article/Laboratory-Automation-Key-Challenges-in-the-Life-Sciences.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.