Articles & Insights

A Western blot is only as good as the analysis that follows. The same membrane, the same antibodies, and the same acquisition can produce very different conclusions depending on how the bands are read, how the intensities are measured, and how the data is reported. This guide walks through the modern workflow for analyzing and quantifying Western blot results, from band identification to statistical analysis, with the specific decisions that distinguish publishable data from data that gets returned by reviewers. The protocol below covers reading the blot, interpreting band intensity, configuring the image acquisition for quantitative analysis, choosing between densitometry tools, understanding the difference between relative and absolute quantification, applying appropriate statistical methods, and troubleshooting common quantification issues. It reflects the techniques used by application specialists at Vilber and the workflows enabled by the Evolution software running on modern scientific imagers. This guide is written for life scientists who perform traditional western blotting as part of their research workflow: graduate students and postdocs learning how to analyze western blot results for the first time, as well as experienced technicians and lab managers who need to move from visual interpretation to quantitative western blot analysis that meets publication standards. The detection process covers all sample types, from cell lysate prepared from cultured cells to protein lysate extracted from tissue, and applies to any particular protein target regardless of molecular biology application.

Fluorescence imaging has become a standard tool in preclinical research over the past two decades. What used to require terminal experiments and histology now happens live, in the same animal, across weeks or months. Tumor growth, drug biodistribution, immune cell trafficking, bacterial infection dynamics, and vascular remodeling can all be visualized without sacrificing animals at each time point. This guide focuses on the applications side of in vivo fluorescence imaging: what it enables in oncology, infectious disease, neuroscience, cardiovascular research, and immunology, which fluorophores work best for each context, and how to build a workflow from acquisition to publication-ready data. For a comparison of imaging modalities (fluorescence, from visible to NIR-II, and bioluminescence) and the technical criteria for choosing an in vivo imaging system, our guide to in vivo imaging technologies covers that ground in detail.

Longitudinal preclinical imaging is rarely about a single image. Most studies involve monitoring biological processes over days, weeks, or even months. Researchers track tumor progression, treatment response, cell migration, tissue regeneration, and disease evolution across multiple time points. The challenge is not simply detecting a signal. The challenge is determining whether observed changes truly reflect biology, or whether they result from differences in animal positioning, anatomy, or image interpretation. This is why researchers running longitudinal preclinical studies, and the imaging teams supporting them, need a reliable way to separate genuine biological change from imaging variability. Combining fluorescence imaging with X-ray provides a powerful solution by improving consistency throughout the entire study.