This paper reports the application of the motion history image (MHI) method for biospeckle processing of a bacterial growth. The method avoids the complexity as well as the large computation in sequence-matching-based methods and detects whether the speckle structure has changed or not. Encouraging experimental results on the real-time evolution of the growing bacteria during 12 h demonstrate the effectiveness of the proposed method. The MHI presented an online result without loss of resolution and definition. In turn, the MHI also presented the ability to provide a close answer to the traditional offline method of generalized differences.

In this paper, we report on a biospeckle laser method used to monitor a specific drug action on T. cruzi parasites. Experimental results from fast biospeckle monitoring of the parasites' activity under the influence of the drug demonstrate the effectiveness of the proposed method. We measure the speckle parameters such as spatiotemporal correlation and speckle grain size to assess the immediate action of the drug on the parasites during a very short incubation period. From a practical point of view, this aproach allows us to validate biospeckle as a fast, non-invasive and alternative method to test candidate drugs on T. cruzi parasites.

In this work we propose an alternative measure of biospeckle activity in biological leaf tissues. The activity images obtained using the proposed method i.e., weighted parameterized Fujii method show relatively higher contrast compared to the existing methods. Leave veins which were not visible using the existing methods are clearly visible using the proposed method. In addition, we have also measured leaf vein density (LVD) within a leaf tissue using biospeckle technique for the first time, to the best of our knowledge. Algorithm for computing LVD from activity images generated by the proposed method is described to facilitate ease in adopting this method.