title: Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry).
abstract: The S.A.M. (Shape Analytical Morphometry) software system and its related work-station give a generalized and easy-to-handle tool to face a classic and intriguing problem in biomedical morphological diagnosis. What is the shape of an object in a microscopic image? How can we understand the relationship between size and shape? According to Holloway: "Measurements such as length, width, height, whether in chords or arcs only describe space, ... and further run into the abyss of allometric correction ... if additional information (shape?) to size is expected, some method of allometric correction must be used." The S.A.M. software system assumes a logic architecture able to separate and to parametrize independently shape characteristics in terms of allometry and local pertubation by analytical procedures (polynomials, parabolic fitting, Fourier analysis) in addition to the classic evaluations of size and density carried out by image analyzers for microscopical diagnosis.
authors.affiliation: Research Consortium Digamma, Bari, Italy.
authors.forename: V
authors.initials: V
authors.lastname: Pesce Delfino
authors.forename: T
authors.initials: T
authors.lastname: Lettini
authors.forename: E
authors.initials: E
authors.lastname: Vacca
authors.forename: F
authors.initials: F
authors.lastname: Potente
authors.forename: P
authors.initials: P
authors.lastname: Ragone
authors.forename: R
authors.initials: R
authors.lastname: Ricco
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012984:Software