Robotics and high-throughput screening let thousands of experiments run in parallel.
Liquid-handling robots, plate readers and imaging systems allow screens of thousands of compounds per day. Self-driving labs combine AI and robotics. Data management needs LIMS.
Automation improves reproducibility and speed. Quality control and data management are essential. Integration with AI allows closed-loop experiments.
Remember: robots still need good experimental design.
Robotics and high-throughput screening let thousands of experiments run in parallel.
Laboratory Automation is one of the 51 topics in Lab Methods & Biostatistics. It is rated Advanced, so it suits learners who want specialist depth. Related topics in this area include Reproducibility in Science, Experimental Design, Chromatography.
High-throughput screening identified new antibiotics such as halicin through machine learning.
Work through the Beginner topics in Lab Methods & Biostatistics first, such as Scientific Method, Hypothesis, Variables, then return to Laboratory Automation. Advanced topics assume the Intermediate vocabulary.
The closest topics to Laboratory Automation are Reproducibility in Science, Experimental Design, Chromatography, Regression Analysis. Comparing them side by side is a good way to see how the ideas connect.
Read the summary and the in-depth section, then use the quick check on the interactive lesson for Laboratory Automation. To practise the whole of Lab Methods & Biostatistics, use the Lab Methods & Biostatistics quiz.
Laboratory Automation: Robotics and high-throughput screening let thousands of experiments run in parallel. Reproducibility in Science: Open data, preregistration and clear methods help others verify findings. Read both side by side and note what each one explains.
First, read the summary and write the definition in your own words. Second, read the in-depth section and note any example. Third, compare it with Reproducibility in Science and explain the difference aloud. Finally, take the Lab Methods & Biostatistics quiz and come back to this page for any question you miss.
Open data, preregistration and clear methods help others verify findings.
📊 Lab Methods & BiostatisticsRandomisation, replication, blocking and blinding reduce bias and confounding.
📊 Lab Methods & BiostatisticsSeparates mixtures, such as pigments, by their different movement through a stationary phase.
📊 Lab Methods & BiostatisticsModels the relationship between variables, predicting a response from one or more predictors.
📊 Lab Methods & Biostatistics