Identificação de diferentes atividades em biofilmes por meio do biospeckle e da transformada de wavelets

Abstract

The dynamic speckle or biospeckle has been used to analyze the activity of biological and non-biological material by means of various techniques of image processing. However, a challenge that presents itself to this technique is the ability to identify, in the same material, an area of low activity immersed in an environment of higher activity. This work was carried out to evaluate the spectral approach as an alternative to identify distinct activities areas in the same material. Biofilm samples were prepared with potato starch and corn starch with different levels of moisture and were analyzed using the biospeckle and the wavelets transform. Such techniques have been applied to identify Biofilm different activities areas in a variety of experimental configurations related to the effect of a black or white back ground below the samples. The image analysis was conducted using generalized difference and Fujii techniques before and after the implementation of the Biofilm wavelets transform. The analysis results allowed the visualization of the Biofilm different activities areas in different frequency bands. At certain frequencies, the low activity or high activity can be presented more clearly in relation to traditional procedures without filtering. It was also noted that the greatest contrast between areas of different activities were promoted by materials of different compositions and that there was, in some cases, the relationship between the frequency and depth of the active and inactive Biofilm. The influence of the color of the background was also noticed in the results without a clear definition the better approach.