The biospeckle laser (BSL) has been applied in many areas of knowledge and a variety of approaches has been presented to address the best results in biological and non-biological samples, in fast or slow activities, or else in defined flow of materials or in random activities. The methodologies accounted in the literature consider the apparatus used in the image assembling and the way the collected data is processed. The image processing steps presents in turn a variety of procedures with first or second order statistics analysis, and as well with different sizes of data collected. One way to access the biospeckle in defined flow, such as in capillary blood flow in alive animals, was the adoption of the image contrast technique which uses only one image from the illuminated sample. That approach presents some problems related to the resolution of the image, which is reduced during the image contrast processing. In order to help the visualization of the low resolution image formed by the contrast technique, this work presents the three-dimensional procedure as a reliable alternative to enhance the final image. The work based on a parallel processing, with the generation of a virtual map of amplitudes, and maintaining the quasi-online characteristic of the contrast technique. Therefore, it was possible to generate in the same display the observed material, the image contrast result and in addiction the three-dimensional image with adjustable options of rotation. The platform also offers to the user the possibility to access the 3D image offline.
The use of dynamic speckle laser, also called biospeckle laser (BSL), presents a series of challenges to its adoption, as it is the case for its use in real time, and when ones desires to adjust the experimental setup. The technical analysis of the BSL adopted in real time has reduced spatial resolution of the captured image, while the adjustment of preparing an experiment still demands the trial of a specialist. In this work two approaches have been proposed to improve the efficiency of BSL real-time adjustments to support the experimental setup. The use of the method known as Motion History Image (MHI) was carry out over a series of BSL images. The MHI was the basis for the implementation of a graphical interface for real-time identification of areas of activity, and then delimiting the regions of interest. The results showed that the MHI was effective in the reproduction of the activities of speckle patterns in real time without reducing image resolution, and as an instrument for delimit of regions of activity, supporting the analyst in the choice of lighting adjustments and image assembling.
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