Stereology is the three-dimensional interpretation of two-dimensional cross sections of materials or tissues. It provides practical techniques for extracting quantitative information about a three-dimensional material from measurements made on two-dimensional planar sections of the material. Stereology is the science of inferring quantitative features of 3-dimensional structures from lower dimensional samples of those structures (probes). It is a statistical discipline and therefore may seem intimidating to many potential users. Stereology is a set of methods that allows the application of mathematical rules to information present in 2D sections. The application of these rules makes it possible to work back to a quantitative measure of a structural parameter in 3D space. This site introduces both basic and advanced concepts of Stereology. The emphasis is on the use of stereology in biological research, though anyone interested in learning concepts of stereology will find something of interest. Unbiased stereology is recognized in biological research as the best-practice method for quantitative histology. It is used to accurately quantify the number of cells, the length of fibers, and the area and volume of biological structures or regions. Stereology is a collection of methods which makes it possible to produce interpretations about actual three-dimensional features of objects based on data obtained from their two-dimensional sections or images. The meaning of STEREOLOGY is a branch of science concerned with inferring the three-dimensional properties of objects or matter ordinarily observed two-dimensionally. Stereology is essentially geometric sampling, grounded on integral geometry. The necessary elements of both disciplines are detailed in textbook style, and may be used for postgraduate courses, or to serve the interest of scientists in general. Stereology (from the Greek stereos = solid) is considered as the spatial interpretation of profiles seen in sections.

It is a multidisciplinary science field dealing with the three-dimensional profiles of objects appearing on sectional planes of metallurgical materials or tissues. Information about the relationship among objects can be estimated using second-order stereology. Examples include nearest neighbor information in distributions of cells and connectivity among branching objects.