论文信息 - Using texture and fractal analysis for classification of cell nuclei from light scattering spectroscopic images

Using texture and fractal analysis for classification of cell nuclei from light scattering spectroscopic images

The paper presents an original experimental optical LSS system which allows backscattering Mie diffusion spectra determination for biological samples. With the aim of evaluating viral infection effects, a software package performs fractal analysis of the spectra and texture analysis of the associated microscopic images. Finally a method for the classification of cell nuclei and the discrimination between virus infected and non-infected biological samples using a combined vector of the computed fractal and texture features is proposed.

[1] Loretta Ichim,et al. LIGHT SCATTERING SPECTROPHOTOMETRIC DEVICE FOR CELLULAR STRUCTURE CHARACTERIZATION , 2004 .

[2] M.,et al. Statistical and Structural Approaches to Texture , 2022 .

[3] G. Mie. Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen , 1908 .

[4] Angela A. Eick,et al. Mechanisms of light scattering from biological cells relevant to noninvasive optical-tissue diagnostics. , 1998, Applied optics.

[5] Robert F. Murphy,et al. A Novel Graphical Model Approach to Segmenting Cell Images , 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

[6] Loretta Ichim,et al. Fractal Dimension of Mie Scattering Spectra for the Appraisal of Infected HeLa Cells in Cultures , 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

[7] Michael B. Wallace,et al. Observation of periodic fine structure in reflectance from biological tissue: A new technique for measuring nuclear size distribution , 1998 .