The Antibody Revolution in NeuroscienceInfographic
The use of immune molecules called antibodies in neuroscience research has revolutionized research. Download this infographic to discover how antibodies are used in neuroscience and how improvements in antibody usage can help forge a robust, reproducible future for the field.
More than 100 years ago, Nobel prize-winning German physician and scientist, Paul Ehrlich suggested that the incidence of cancer would be significantly higher if it wasn’t for our immune system – bringing to light immune cells’ incredible ability to recognize, target, seek out, and destroy cancerous cells.READ MORE
More than 95% of the clinical biochemistry laboratory workload is based on small molecule identification, which can be analyzed through metabolomics-based techniques. In this infographic, we explore how metabolomics has reshaped the clinical diagnostics landscape.READ MORE
Download this infographic to discover more about mycoplasma contamination in cell culture labs.READ MORE
Too much paper? Colleagues have awful handwriting? Struggling to get a grip on your data? Electronic lab notebooks (ELNs), digital replacements for paper notebooks, might be the answer. In this infographic, we explore how ELNs can improve the day-to-day work of a research lab.
Structural biology combines molecular biology, biochemistry and biophysics. It is concerned with the study of the molecular structure and dynamics of biomolecules, information that can be extremely useful in fields such as medicine. Download this infographic to learn more about the structural biology research field and the use of cross-linking mass spectrometry in this space.READ MORE
Biotherapeutics now represent a rapidly growing portion of the pharmaceutical market. Download this infographic to learn more about what biotherapeutics are, why it is important to characterize and analyze them and four key approaches for biotherapeutic characterization and analysis.READ MORE
The aim of personalized medicine is to a move away from the traditional “one size fits all” approach to the treatment of diseases – such as cancer. For patients where standard clinical options have been exhausted, novel personalized therapeutics may be required. Patient-derived cancer models, such as “organoids”, can help predict an individual’s response to a drug – both efficacy and toxicity – prior to administration.READ MORE