Open AccessNUCLEI SHAPE ANALYSIS, A STATISTICAL APPROACH
Author(s) -
Alberto Nettel-Aguirre
Publication year - 2011
Publication title -
image analysis and stereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.237
H-Index - 27
eISSN - 1854-5165
pISSN - 1580-3139
DOI - 10.5566/ias.v27.p1-10
Subject(s) - principal component analysis , characterization (materials science) , type (biology) , focus (optics) , principal (computer security) , mathematics , computer science , artificial intelligence , biological system , pattern recognition (psychology) , physics , geology , biology , optics , paleontology , operating system
The method presented in our paper suggests the use of Functional Data Analysis (FDA) techniques in an attempt to characterise the nuclei of two types of cells: Cancer and non-cancer, based on their 2 dimensional profiles. The characteristics of the profile itself, as traced by its X and Y coordinates, their first and second derivatives, their variability and use in characterization are the main focus of this approach which is not constrained to star shaped nuclei. Findings: Principal components created from the coordinates relate to shape with significant differences between nuclei type. Characterisations for each type of profile were found