A cytoskeletal injury classifier based on spectrum enhancement and data fusion

Giovanni F. Crosta; Chiara Urani; Laura Fumarola

doi:10.1117/12.527925

1 July 2004 A cytoskeletal injury classifier based on spectrum enhancement and data fusion

Giovanni F. Crosta, Chiara Urani, Laura Fumarola

Proceedings Volume 5322, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues II; (2004) https://doi.org/10.1117/12.527925
Event: Biomedical Optics 2004, 2004, San Jose, CA, United States

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.

Citation Download Citation

Giovanni F. Crosta, Chiara Urani, and Laura Fumarola "A cytoskeletal injury classifier based on spectrum enhancement and data fusion", Proc. SPIE 5322, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues II, (1 July 2004); https://doi.org/10.1117/12.527925

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available