Latest Infographics

Download this infographic to explore how UV-Vis spectroscopy works, what it can tell us, its strengths and limitations and its applications.

Download this infographic to explore key areas of wastage and pollution relating to laboratories, ways these issues can be addressed and barriers and challenges to more sustainable science

Relocating your lab can be stressful, costly, and can result in prolonged or unexpected downtime. Hence, it’s important to opt for a relocation service that you can trust.

There is more pressure than ever to quickly commercialize diagnostic tests, as molecular and immunodiagnostics tests using nucleic acid and protein assays are now an essential component in the evaluation and early detection of many diseases.

Lots of time, money, and investment goes into creating effective diagnostic kits. But how much consideration goes into choosing the right components to ensure your kits are reliable and perform at their maximum? Do you know what factors you should look for and what could be the cost of getting it wrong?

Download this infographic to unravel some of the common myths surrounding laboratory automation and uncover the truth about its key benefits.

In this infographic, we explore what is meant by disease modeling and highlight how advanced cell models are helping researchers to overcome some of the limitations associated with classical cell lines and animal models.

Single-cell analysis enables scientists to study cells at the individual level, capturing unique insights for each cell and providing a more holistic understanding of molecular biology. Download this infographic to learn more.

Download this infographic to discover what personalized medicine is and its applications, how it compares to current conventional medicine and the common technologies used in personalized medicine research.

Download this infographic to discover the principles of reproducible data, why it has proved so difficult for science to achieve and the steps researchers can take to enhance the reproducibility of their data.