Microscopy

This four-part series examines common issues and questions surrounding the principles, measurements and analysis of DLS data and discusses how to minimize the time required for and increase the accuracy of acquiring and interpreting DLS data during the biotherapeutic development process. In Part Three, we cover the basic types of DLS deconvolution algorithms used to extract the intensity weighted particle size distribution from the measured correlogram.

This four-part series examines common issues and questions surrounding the principles, measurements and analysis of DLS data and discusses how to minimize the time required for and increase the accuracy of acquiring and interpreting DLS data during the biotherapeutic development process. In Part Two, we cover the influence of concentration effects and particle interactions on DLS results and provide a roadmap for identifying and distinguishing each type of concentration effect.

The combination of static microscopy and Raman spectroscopy in the Morphologi G3-ID enables automated chemical identification of protein aggregates and other contaminants in a biotherapeutic sample, either in suspension via a thin-path wet cell or on a filter membrane.

Learn how Isothermal titration calorimetry can be used to guide protein (RNA)/ligand crystallization and to resolve common issues with crystallization of complexes.

Determining the components, and their proportion, in a protein sample is essential for the improvement of candidate formulations and characterization of final formulations.

Welcome to our second foray into the fascinating confluence of aesthetics and analytics, where we celebrate the wonderful and diverse world of analytical science by sharing your spectacular images.

SORS meets microscopy to delve deeper into historical art and sculptures

S-Lab is using an awards scheme, an annual conference, and assessment tools and guidance to drive improvement in areas that are common to both analytical and research laboratories.

In the quest for increased sensitivity or higher resolution, let’s not lose sight of our objectives.

Particle agglomeration can compromise the clinical efficacy of pharmaceutical products and must therefore be closely controlled. Automated particle image analysis provides one technology which can aid agglomerate detection. This article provides practical guidance on how imaging can be applied as a routine method to robustly identify and quantify the state of agglomeration of pharmaceutical formulations.