Developing physiologically relevant in vitro models, such as 3D organoids and spheroids, has revolutionized biomedical research by providing more accurate platforms for studying human development, disease, and drug responses. However, the complexity of these models presents unique challenges in terms of visualization, quantification, and reproducibility, necessitating advanced analytical and imaging methods that can capture spatial and temporal dynamics with high fidelity. As the research community increasingly shifts toward 3D culture systems, standardized and innovative methodologies for their assessment are essential to ensure experimental reliability and translational relevance.

This Methods Collection aims to showcase recent technological advancements in the imaging, quantification, and analytical evaluation of in vitro models, especially 3D culture systems. It will highlight cutting-edge approaches, including high-resolution microscopy, live-cell imaging, machine learning-based image analysis, and novel biomarker quantification strategies that are tailored to the specific architecture and behavior of organoids and spheroids. By compiling these methodologies, the collection will serve as a resource for researchers seeking robust, reproducible, and scalable techniques to study complex biological systems in vitro.

Ultimately, it will foster methodological transparency, promote best practices, and accelerate progress in drug discovery, toxicology, regenerative medicine, and cancer research. It will also facilitate cross-disciplinary collaboration by bridging the gap between bioengineering, computational analysis, and experimental biology in the context of advanced in vitro modeling.