The small eye movements in the process of fixation on an image element give us knowledge about the human visual information perception. An in-depth analysis of these movements can reveal the influence of personality, mood and mental state of the examined subject on the process of perception. The modern eye tracking technology provides us with the necessary technical means to study these movements. Nevertheless, still a lot of problems remains open. In the present paper two approaches for noise cancellation in the eye-tracker signal and two approaches for microsaccade detection are proposed. The analysis of the obtained results can be a good starting point for interpretation by neurobiologists about the causes of different types of movement and their dependence on the individuality of the observed person and the specific mental and physical condition.