Latest Articles

Regulatory guidance relating to analytical procedures is in the process of changing to a lifecycle approach to ensure that procedures are suitable for intended use across all phases of the drug development life cycle.

In this article, Mike Hawrylycz, an investigator at the Allen Institute for Brain Science, discusses a large, collaborative quest to discover the different cell types of the brain.

This article discusses what good dPCR data looks like, how substandard equipment can detract from data quality and what oncology researchers can do to get high-quality dPCR data that will provide accurate and efficient insight into tumor load.

Predatory conferences are the ramshackle distant cousin of your regular scientific event, a Fyre Festival of science (without the involvement of Ja Rule). It is getting harder to separate fake conferences from real ones. Given this deluge of dodgy science, we have created a guide to spotting and avoiding predatory conferences.

Cryo electron microscopy (cryo EM) has revolutionized our understanding of the intricate molecular machinery that governs life. In this article, we discuss what cryo EM is, how it works, it's strengths, limitations and applications.

This article discusses the benefits of real-time gas analysis for monitoring fermentation and cell culture.

Batteries have become an integral part of our everyday lives. In this article, we will consider the main types of batteries, battery components and materials and the reasons for and ways in which battery materials are tested.

An automated and cost-effective workflow in immunopeptidomics, utilizing microfluidics technology, has been created that overcomes limitations in sample preparation and could be a powerful tool for tumor antigen discovery in sparse samples.

Researchers have developed a SERS chip that rapidly and accurately detects sulfur dioxide and nitrogen dioxide, gases emitted by vehicles and industries that contribute to acid rain and have also been linked to respiratory problems.

Scientists have identified a number of biomarkers associated with progression of Type 2 diabetes to predict insulin resistance development, which could help to manage the disease and improve patient outcomes.