In the life sciences, experimental reproducibility and repeatability are essential for ensuring that the results obtained are real and trustworthy. This often involves running an experiment multiple times under identical conditions. When repeating experiments, variation introduced through human error, environmental changes, or technical fluctuations can negatively impact the data and cause the generation of spurious results. For example, when imaging cells, slight shifts in temperature, CO2 levels, or light conditions can dramatically affect the data. The automation of methodologies, in concert with the ability to run multiple experiments in parallel, can go a long way to solving this problem. During this webinar we will provide examples of how automation of imaging methods can save time and money, making your work easier and more efficient and enabling the generation of more reliable data.View the Webinar
Authors: Meltsje de Hoop, Seth Donoughe, Ed Boyden