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Laboratory automation
Process improvement strategy for routine procedures

Laboratory automation integrates various technologies to enhance scientific research by improving productivity, data quality, and efficiency. A key aspect is laboratory robotics, alongside numerous automated instruments and devices like autosamplers. This technology underpins critical processes such as high-throughput screening and combinatorial chemistry, enabling advancements in clinical testing and diagnostics. Educational programs at institutions like Indiana University-Purdue University at Indianapolis and the Keck Graduate Institute in California prepare professionals with expertise in assay development, instrumentation, and data analysis for applications including genotyping, microarray technologies, and proteomics.

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History

At least since 1875 there have been reports of automated devices for scientific investigation.1 These first devices were mostly built by scientists themselves in order to solve problems in the laboratory. After the second world war, companies started to provide automated equipment with greater and greater complexity.

Automation steadily spread in laboratories through the 20th century, but then a revolution took place: in the early 1980s, the first fully automated laboratory was opened by Dr. Masahide Sasaki.23 In 1993, Dr. Rod Markin at the University of Nebraska Medical Center created one of the world's first clinical automated laboratory management systems.4 In the mid-1990s, he chaired a standards group called the Clinical Testing Automation Standards Steering Committee (CTASSC) of the American Association for Clinical Chemistry,56 which later evolved into an area committee of the Clinical and Laboratory Standards Institute.7 In 2004, the National Institutes of Health (NIH) and more than 300 nationally recognized leaders in academia, industry, government, and the public completed the NIH Roadmap to accelerate medical discovery to improve health. The NIH Roadmap clearly identifies technology development as a mission critical factor in the Molecular Libraries and Imaging Implementation Group (see the first theme – New Pathways to Discovery – at https://web.archive.org/web/20100611171315/http://nihroadmap.nih.gov/).

Despite the success of Dr. Sasaki laboratory and others of the kind, the multi-million dollar cost of such laboratories has prevented adoption by smaller groups.8 This is all more difficult because devices made by different manufactures often cannot communicate with each other. However, recent advances based on the use of scripting languages like Autoit have made possible the integration of equipment from different manufacturers.9 Using this approach, many low-cost electronic devices, including open-source devices,10 become compatible with common laboratory instruments.

Some startups such as Emerald Cloud Lab and Strateos provide on-demand and remote laboratory access on a commercial scale. A 2017 study indicates that these commercial-scale, fully integrated automated laboratories can improve reproducibility and transparency in basic biomedical experiments, and that over nine in ten biomedical papers use methods currently available through these groups.11

Low-cost laboratory automation

A large obstacle to the implementation of automation in laboratories has been its high cost. Many laboratory instruments are very expensive. This is justifiable in many cases, as such equipment can perform very specific tasks employing cutting-edge technology. However, there are devices employed in the laboratory that are not highly technological but still are very expensive. This is the case of many automated devices, which perform tasks that could easily be done by simple and low-cost devices like simple robotic arms,121314 universal (open-source) electronic modules,1516171819 Lego Mindstorms,20 or 3D printers.

So far, using such low-cost devices together with laboratory equipment was considered to be very difficult. However, it has been demonstrated that such low-cost devices can substitute without problems the standard machines used in laboratory.212223 It can be anticipated that more laboratories will take advantage of this new reality as low-cost automation is very attractive for laboratories.

A technology that enables the integration of any machine regardless of their brand is scripting, more specifically, scripting involving the control of mouse clicks and keyboard entries, like AutoIt. By timing clicks and keyboard inputs, different software interfaces controlling different devices can be perfectly synchronized.2425

Further reading

References

  1. Olsen, Kevin (2012-12-01). "The First 110 Years of Laboratory Automation Technologies, Applications, and the Creative Scientist". Journal of Laboratory Automation. 17 (6): 469–480. doi:10.1177/2211068212455631. ISSN 2211-0682. PMID 22893633. S2CID 37758591.[permanent dead link] https://doi.org/10.1177%2F2211068212455631

  2. Felder, Robin A. (2006-04-01). "The Clinical Chemist: Masahide Sasaki, MD, PhD (August 27, 1933 – September 23, 2005)". Clinical Chemistry. 52 (4): 791–792. doi:10.1373/clinchem.2006.067686. ISSN 0009-9147. https://doi.org/10.1373%2Fclinchem.2006.067686

  3. Boyd, James (2002-01-18). "Robotic Laboratory Automation". Science. 295 (5554): 517–518. doi:10.1126/science.295.5554.517. ISSN 0036-8075. PMID 11799250. S2CID 108766687. /wiki/Doi_(identifier)

  4. "LIM Source, a laboratory information management systems resource". Archived from the original on 2009-08-11. Retrieved 2009-02-20. http://www.limsource.com/products/lis/vlabint.html

  5. "Clinical Chemistry 46, No. 5, 2000, pgs. 246–250" (PDF). Archived (PDF) from the original on 2011-06-07. Retrieved 2009-02-20. http://www.clinchem.org/cgi/reprint/46/5/746.pdf

  6. "Health Management Technology magazine, October 1, 1995". Archived from the original on 2012-02-17. Retrieved 2009-02-20. http://www.allbusiness.com/technology/528531-1.html

  7. "Clinical and Laboratory Standards Institute (formerly NCCLS)". Archived from the original on 2008-10-07. Retrieved 2009-02-20. https://web.archive.org/web/20081007123141/http://nccls.org/

  8. Felder, Robin A (1998-12-01). "Modular workcells: modern methods for laboratory automation". Clinica Chimica Acta. 278 (2): 257–267. doi:10.1016/S0009-8981(98)00151-X. PMID 10023832. /wiki/Doi_(identifier)

  9. Carvalho, Matheus C. (2013-08-01). "Integration of Analytical Instruments with Computer Scripting". Journal of Laboratory Automation. 18 (4): 328–333. doi:10.1177/2211068213476288. ISSN 2211-0682. PMID 23413273. https://doi.org/10.1177%2F2211068213476288

  10. Pearce, Joshua M. (2014-01-01). Chapter 1 – Introduction to Open-Source Hardware for Science. Boston: Elsevier. pp. 1–11. doi:10.1016/b978-0-12-410462-4.00001-9. ISBN 9780124104624. 9780124104624

  11. Groth, P.; Cox, J. (2017). "Indicators for the use of robotic labs in basic biomedical research: A literature analysis". PeerJ. 5: e3997. doi:10.7717/peerj.3997. PMC 5681851. PMID 29134146. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681851

  12. Carvalho, Matheus C.; Eyre, Bradley D. (2013-12-01). "A low cost, easy to build, portable, and universal autosampler for liquids". Methods in Oceanography. 8: 23–32. Bibcode:2013MetOc...8...23C. doi:10.1016/j.mio.2014.06.001. /wiki/Bibcode_(identifier)

  13. Chiu, Shih-Hao; Urban, Pawel L. (2015). "Robotics-assisted mass spectrometry assay platform enabled by open-source electronics". Biosensors and Bioelectronics. 64: 260–268. doi:10.1016/j.bios.2014.08.087. PMID 25232666. /wiki/Doi_(identifier)

  14. Chen, Chih-Lin; Chen, Ting-Ru; Chiu, Shih-Hao; Urban, Pawel L. (2017). "Dual robotic arm "production line" mass spectrometry assay guided by multiple Arduino-type microcontrollers". Sensors and Actuators B: Chemical. 239: 608–616. Bibcode:2017SeAcB.239..608C. doi:10.1016/j.snb.2016.08.031. /wiki/Bibcode_(identifier)

  15. Urban, Pawel L. (2015). "Universal electronics for miniature and automated chemical assays". The Analyst. 140 (4): 963–975. Bibcode:2015Ana...140..963U. doi:10.1039/C4AN02013H. PMID 25535820. Archived from the original on 2018-11-06. Retrieved 2018-12-15. https://pubs.rsc.org/en/content/articlelanding/2014/an/c4an02013h

  16. Urban, Pawel (2016-04-20). "Open hardware: Self-built labware stimulates creativity". Nature. 532 (7599): 313. Bibcode:2016Natur.532..313U. doi:10.1038/532313d. PMID 27127816. https://doi.org/10.1038%2F532313d

  17. Baillargeon P, Spicer TP, Scampavia L (2019). "Applications for Open Source Microplate-Compatible Illumination Panels". J Vis Exp (152): e60088. doi:10.3791/60088. PMID 31633701. S2CID 204813315.{{cite journal}}: CS1 maint: multiple names: authors list (link) https://pubmed.ncbi.nlm.nih.gov/31633701

  18. Baillargeon P, Coss-Flores K, Singhera F, Shumate J, Williams H, DeLuca L; et al. (2019). "Design of Microplate-Compatible Illumination Panels for a Semiautomated Benchtop Pipetting System". SLAS Technol. 24 (4): 399–407. doi:10.1177/2472630318822476. PMID 30698997. S2CID 73412170.{{cite journal}}: CS1 maint: multiple names: authors list (link) https://doi.org/10.1177%2F2472630318822476

  19. Iglehart B (2018). "MVO Automation Platform: Addressing Unmet Needs in Clinical Laboratories with Microcontrollers, 3D Printing, and Open-Source Hardware/Software". SLAS Technol. 23 (5): 423–431. doi:10.1177/2472630318773693. PMID 29746790. S2CID 13671203. https://doi.org/10.1177%2F2472630318773693

  20. Waltz, Emily (2017-03-22). "DIY Lego Robot Brings Lab Automation to Students - IEEE Spectrum". IEEE Spectrum. Retrieved 2024-02-02. https://spectrum.ieee.org/diy-lego-robot-brings-lab-automation-to-students

  21. Carvalho, Matheus C.; Eyre, Bradley D. (2013-12-01). "A low cost, easy to build, portable, and universal autosampler for liquids". Methods in Oceanography. 8: 23–32. Bibcode:2013MetOc...8...23C. doi:10.1016/j.mio.2014.06.001. /wiki/Bibcode_(identifier)

  22. Carvalho, Matheus. "Auto-HPGe, an autosampler for gamma-ray spectroscopy using high-purity germanium (HPGe) detectors and heavy shields". HardwareX. https://www.researchgate.net/publication/327230541

  23. Carvalho, Matheus (2018). "Osmar, the open-source microsyringe autosampler". HardwareX. 3: 10–38. doi:10.1016/j.ohx.2018.01.001. https://www.researchgate.net/publication/322363581

  24. Carvalho, Matheus C. (2013-08-01). "Integration of Analytical Instruments with Computer Scripting". Journal of Laboratory Automation. 18 (4): 328–333. doi:10.1177/2211068213476288. ISSN 2211-0682. PMID 23413273. https://doi.org/10.1177%2F2211068213476288

  25. Carvalho, Matheus (2017). Practical Laboratory Automation: Made Easy with AutoIt. Wiley VCH. ISBN 978-3-527-34158-0. 978-3-527-34158-0