Blood Coagulation Measurements Using Dynamic Speckle Technique

Abstract

Abstract-A series of coagulometers have been developed with the aim of making easier the measurement of coagulation times. A phenomenon that emerges as an alternative for the development of these devices is the use of dynamic laser speckles. It is based on the analysis of time variations of a speckle pattern produced by interference of multiple coherent wavelets scattered by the sample. We present the results of applying correlation analysis to dynamic speckle produced by samples of capillary blood clotting without using any reactive. We also propose a numerical model which describes the obtained curves and a method for measuring coagulation time from this analysis.

Development of an Optical Method for the Evaluation of Whole Blood Coagulation

“…These works include the laser speckle contrast imaging (LSCI) methods [ 41 ], which are also non-contact techniques. LSCI methods quantify light scattering and propagation, using wavelengths in the infrared/near infrared light spectrum [ 36 , 37 , 38 ]. These studies have established an exponential behavior of the assessed coagulation indices, with characteristics depending on reagent and sample used.…”

“…Several studies in the literature utilize laser speckle analysis between consecutive images, and/or between a reference image (usually the initial one), in combination with cross- or auto-correlation techniques, which can be computationally demanding. The results are presented as time-varying curves with the potential of dividing them into different coagulation phases [ 35 , 36 , 37 ]. Indices extracted from those curves can describe blood coagulation and typically are validated by comparison with commercially available coagulometers [ 38 , 39 ].…”

Discrete cosine transform based processing framework for indexing, decomposition and compression of biospeckle data

“…Laser biospeckle allows non-destructive and non-contact monitoring of changes in the activity of different biological and non-biological samples. Over the past few years, biospeckle analysis has gained enormous popularity due to its versatile applications in biomedical imaging [2][3][4], medicinal industry [5], agriculture and pomology [6][7][8][9][10][11][12], biometrics [13][14][15], and many more.…”