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Proceedings Paper

Image classifiers for the cell transformation assay: a progress report
Author(s): Chiara Urani; Giovanni F. Crosta; Claudio Procaccianti; Pasquale Melchioretto; Federico M. Stefanini
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Paper Abstract

The Cell Transformation Assay (CTA) is one of the promising in vitro methods used to predict human carcinogenicity. The neoplastic phenotype is monitored in suitable cells by the formation of foci and observed by light microscopy after staining. Foci exhibit three types of morphological alterations: Type I, characterized by partially transformed cells, and Types II and III considered to have undergone neoplastic transformation. Foci recognition and scoring have always been carried visually by a trained human expert. In order to automatically classify foci images one needs to implement some image understanding algorithm. Herewith, two such algorithms are described and compared by performance. The supervised classifier (as described in previous articles) relies on principal components analysis embedded in a training feedback loop to process the morphological descriptors extracted by "spectrum enhancement" (SE). The unsupervised classifier architecture is based on the "partitioning around medoids" and is applied to image descriptors taken from histogram moments (HM). Preliminary results suggest the inadequacy of the HMs as image descriptors as compared to those from SE. A justification derived from elementary arguments of real analysis is provided in the Appendix.

Paper Details

Date Published: 24 February 2010
PDF: 11 pages
Proc. SPIE 7568, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII, 75681F (24 February 2010); doi: 10.1117/12.840926
Show Author Affiliations
Chiara Urani, Univ. degli Studi di Milano-Bicocca (Italy)
Giovanni F. Crosta, Univ. degli Studi di Milano-Bicocca (Italy)
Claudio Procaccianti, Univ. degli Studi di Milano-Bicocca (Italy)
Pasquale Melchioretto, Univ. degli Studi di Milano-Bicocca (Italy)
Federico M. Stefanini, Univ. degli Studi di Firenze (Italy)


Published in SPIE Proceedings Vol. 7568:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VIII
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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