Analysis of biospeckle pattern using grey-level and color-channel assessment methods

Abstract Biospeckle offers a practical tool for contact-free testing and monitoring of biological samples, providing unique insights into dynamics of biological processes. In the present work, we design an experimental arrangement to perform quality assessment on biological samples using biospeckle patterns. We analyse the speckle patterns and evaluate its important parameters by constructing a grey-level co-occurrence matrix (GLCM). Furthermore, we propose an alternative and reliable method to study the biospeckle patterns by constructing a color-channel assessment matrix. The proposed approach provides both qualitative and quantitative information of the sample under study, with minimum speckle images and no stringent requirement of correct parameter selection, unlike in the case of GLCM method. Proof-of-concept experimental results are provided that demonstrate the feasibility of the proposed method in evaluating the quality of biological samples.