Introduction
	In recent years, many new mathematical and computational methods have been suggested for structural analysis of cells and subcellular components. One such method is Gray level co-occurrence matrix (GLCM) analysis, which is capable of detecting discrete changes in cell nuclei during optical and electron microscopy. Effects of antidepressants on nuclear GLCM parameters are unknown.

Objectives
The aim of our research was to investigate potential dose-dependent effects of fluoxetine on GLCM parameters in Saccharomyces cerevisiae yeast.

Methods
Saccharomyces cerevisiae cells were exposed to 3 different doses of fluoxetine after which digital micrographs of cell nuclei were obtained. A total 400 nuclei (100 cells per sample, 3 experimental samples, 1 control sample) were analyzed using GLCM method. For each nucleus, values of angular second moment (indicator of textural uniformity), inverse difference moment (indicator of textural homogeneity) and GLCM entropy (indicator of textural chaos and disorder) were calculated using second order statistical algorithm.

Results
Exposure to fluoxetine was associated to dose-dependent changes in nuclear GLCM parameters. Values of angular second moment and inverse difference moment were increased (p<0.01) after the treatment.  Nuclear entropy, on the other hand, significantly (p<0.01) decreased. These results indicate that fluoxetine increases nuclear textural homogeneity and uniformity while at the same time decreases nuclear level of textural disorder.

Conclusions
Exposure to fluoxetine in Saccharomyces cerevisiae yeast leads to discrete morphological changes in nuclear architecture quantifiable using gray level co-occurrence matrix algorithm.

EFFECTS OF FLUOXETINE ON NUCLEAR PARAMETERS OF GRAY LEVEL CO-OCCURRENCE MATRIX IN SACCHAROMYCES CEREVISIAE