This digital resource is a technical note from Agilent Technologies titled 'Ten Pitfalls of Microarray Analysis.' Microarray technology, while powerful for global gene expression measurement, is susceptible to various experimental and analytical challenges that can lead to misleading results. This technical note aims to educate researchers on common mistakes and how to avoid them. The document identifies ten key pitfalls that new and experienced users often encounter when interpreting DNA microarray results. These pitfalls can range from issues in sample acquisition and target labeling to microarray processing and data analysis. Examples include focusing solely on image quality over data quality, improper background subtraction, and misinterpretation of signal intensity. This technical note is highly valuable for researchers performing microarray experiments, as it provides practical advice to minimize false leads and maximize the biological value of their data. It emphasizes the importance of proper experimental design, quality control at each step, and appropriate statistical analysis to ensure the reliability and reproducibility of microarray findings. As a resource from Agilent, a major provider of microarray platforms, this technical note reflects industry best practices and insights derived from extensive experience. It serves as an essential guide for improving the rigor and accuracy of microarray-based research, helping scientists to avoid common errors and draw more robust biological inferences.