Latest Articles

This article explores common challenges faced by flow cytometry users, such as fluorochrome selection, the utility of tandem dyes and managing spectral overlap, to help optimize your panel design for more reliable results.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Dr. Thomas Hartung explains how AI and microphysiological systems (MPS) are changing drug safety testing. These human-relevant models offer faster, more ethical alternatives to animal testing.

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

Flow cytometry (FC) is a powerful tool for multi-parametric cell characterization. In this article, we explore the advances improving the accuracy and efficiency of FC and opening up new research and clinical applications.

In this article, LGBTQIA+ scientists share what they enjoy most about their work, discuss the primary hurdles LGBTQIA+ individuals encounter in STEMM and offer advice to young professionals entering the field.

Racial disparities in mortality are increasing. This article explores how the production of DNA-edited ethnically diverse stem cell lines for disease research could improve global health equity.

The HUMANOID Center at UC San Diego is pioneering organoid research aimed at improving the reliability and reproducibility of these models, ultimately increasing drug testing accuracy and revolutionizing biomedical science.

Allyship in STEMM requires active listening, unlearning biases and advocating for equity. This article explores how inclusion drives innovation and how small actions can create meaningful change in building a more diverse, inclusive community.