In the context of histology, an OODBMS operates by storing data as objects, which can be anything from a simple cell image to a complex 3D model of tissue architecture. These objects are defined by classes that encapsulate data attributes and methods. For instance, a cell object might include attributes like size, shape, and staining properties, as well as methods for calculating growth rates or detecting anomalies.
