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Proceedings Paper

A cytoskeletal injury classifier based on spectrum enhancement and data fusion
Author(s): Giovanni F. Crosta; Chiara Urani; Laura Fumarola
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Paper Abstract

The morphology of cytoskeletal microtubules has been analyzed by fractal, direct and spectral methods. Sets of images were obtained from the epifluorescence microscopy of primary cultures of rat hepatocytes treated with fungicide concentrations of 5O and 25 µg/ml for 2h. The morphological descriptors extracted by said methods included contour and mass fractal dimension, total variation, the L1-norm of the Laplacian and properties of the "enhanced spectrum". The latter is obtained by suitably processing the logarithm of power spectral density with the aim of separating image structure (low spatial frequency) from texture (high spatial frequency). Descriptors were fused by principal components analysis. A classification algorithm was trained to tell undisturbed (control) cytoskeletal structures from those treated at the higher dose. The eigenvector matrix of the trained classifier was used to rank structures treated at the lower dose: from regression on the set centroid coordinates a tentative relation between the first principal component (the "response") and dose has been obtained. The same ranking procedure was applied to structures recovering from injury (24h after exposure to the higher dose) and the extent of recovery has been quantified. The paper includes a possible interpretation of some morphological descriptors and their role in automatic classification.

Paper Details

Date Published: 1 July 2004
PDF: 12 pages
Proc. SPIE 5322, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues II, (1 July 2004); doi: 10.1117/12.527925
Show Author Affiliations
Giovanni F. Crosta, Univ. degli Studi di Milano-Bicocca (Italy)
Chiara Urani, Univ. degli Studi di Milano-Bicocca (Italy)
Laura Fumarola, Univ. degli Studi di Milano-Bicocca (Italy)


Published in SPIE Proceedings Vol. 5322:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues II
Dan V. Nicolau; Joerg Enderlein; Robert C. Leif; Daniel L. Farkas, Editor(s)

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