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<\/figure>\n\n\n\nWith automation, replicating results is closer to downloading the protocol and running it on a robot. Each assay is performed in the same way, eliminating any doubts or difficulties in replication.<\/p>\n\n\n\n
2) Reproducibility Reproducibility (or the ability to analyze an experiment's original methods and data and use them to produce similar results in another laboratory) is also critical to conducting successful research. It is also the best way to ensure consistency between protocols and to determine whether data analysis can be successfully repeated.<\/p>\n\n\n\n
Many labs still keep their protocol collections in hard copy form\u2014PDFs in binders, with notes scrawled in the margins as guidance. Since these protocols are often performed manually, given the researcher's interpretation of these annotations, errors can occur throughout all aspects of the protocol from execution to results.<\/p>\n\n\n\n
With automation, experimental protocols do not need to be redesigned: they are created once and run the same way every time, eliminating any chance of systematic errors. Additionally, because documentation can be added, protocols are often more comprehensive, accessible, and actionable than manual protocols.<\/p>\n\n\n\n
3) Sharing In addition to copying and reproducing experimental protocols, the ability to share experimental protocols is critical to continue creating new knowledge and contributing to the inheritance of scientific discoveries. However, there is no standard format or requirement for sharing methods or the reagents and laboratory equipment used in publications. There are also no standards for sharing protocols, as most information is conveyed in person in the lab, shared in binders, or informally. Researchers also don\u2019t share empty data, meaning they don\u2019t share what didn\u2019t work for them or any insights that led them to this approach to their work.<\/p>\n\n\n\n
Automation provides a standard format for recording and sharing experimental protocols, reagents, labware, and any other necessary information needed to perform experiments. It also eliminates all variables when sharing any information and provides a common platform for sharing information with lab members and colleagues around the world.<\/p>\n\n\n\n
All of these benefits are not only useful, but critical to how life research is conducted. In biology, the only way to ensure all of these things is through automation.<\/p>\n","protected":false},"excerpt":{"rendered":"
Accuracy in laboratory experiments is critical but ofte […]<\/p>\n","protected":false},"featured_media":2820,"template":"","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"knowledge2_cat":[93],"knowledge2_app":[],"class_list":["post-2819","knowledge2","type-knowledge2","status-publish","has-post-thumbnail","hentry","knowledge2_cat-jiqiao"],"yoast_head":"\n