The field of quantitative biology is undergoing a transformative shift driven by advancements in imaging technologies and artificial intelligence (AI), clearly reflected by a growing research interest in the intersection of those fields. Despite these advancements, a significant challenge remains: how to integrate and interpret data gathered across multiple scales, from single molecules to entire tissues, using diverse imaging techniques. The complexity of biological systems imperatively requires a coordinated effort to bridge the gap between the spatio-dynamic processes that are captured by the various microscopy methods available.