RT Journal Article
T1 Automatic quantification of histological studies in allergic asthma
A1 Abella García, Mónica
A1 Zubeldia, José Manuel
A1 Conejero, Laura
A1 Malpica, Norberto
A1 Vaquero López, Juan José
A1 Desco Menéndez, Manuel
AB The evaluation of new therapies to treat allergic asthma makes frequent use of histological studies. Some of them are based on microscope observation of stained paraffinlung sections to quantify cellular infiltrate, an effect directly related to allergic processes.Currently, there is no software tool available for doing this quantification automatically.This paper presents a methodology and a software tool for the quantification of cellular infiltrate in lung tissue images in an allergic asthma mouse model. The image is divided into regions of equal size, which are then classified by means of a segmentation algo rithm based on texture analysis. The classification uses three discriminant functions, built from parameters derived from the histogram and the co occurrence matrix. These functions were calculated by means of a stepwise discriminant analysis on 79 samples from a training set. Results provided a correct classification of 96.8% on an independent test set of 251 samples labeled manually. Regression analysis showed a good agree ment between automatic and manual methods. A reliable and easy to implementmethod has been developed to provide an automatic method for quantifying microscopy images of lung histological studies. Results showed similar accuracy to that provided by an expert, while allowing analyzing a much larger number of fields in a repeatable way
PB International Society for Advancement of Cytometry
SN 1552-4922 (print version)
SN 1552-4930 (electronic version)
YR 2009
FD 2009
LK https://hdl.handle.net/10016/12024
UL https://hdl.handle.net/10016/12024
LA eng
NO Contract grant sponsor: CD TEAM project, CENIT program, Ministerio de Industria
DS e-Archivo
RD 1 may. 2024