Research Papers: General

Dynamic laser speckle analyzed considering inhomogeneities in the biological sample

[+] Author Affiliations
Roberto A. Braga, Jr., Dimitri Campos Viana, Fernando Pujaico Rivera

Universidade Federal de Lavras, Department Engenharia (DEG), Lavras, Brazil

Rolando J. González-Peña

Universitat de València, Unidad de Biofísica y Física Médica, Facultad de Medicina y Odontología, Department Fisiología, Valencia, Spain

J. Biomed. Opt. 22(4), 045010 (Apr 25, 2017). doi:10.1117/1.JBO.22.4.045010
History: Received February 8, 2017; Accepted April 10, 2017
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Abstract.  Dynamic laser speckle phenomenon allows a contactless and nondestructive way to monitor biological changes that are quantified by second-order statistics applied in the images in time using a secondary matrix known as time history of the speckle pattern (THSP). To avoid being time consuming, the traditional way to build the THSP restricts the data to a line or column. Our hypothesis is that the spatial restriction of the information could compromise the results, particularly when undesirable and unexpected optical inhomogeneities occur, such as in cell culture media. It tested a spatial random approach to collect the points to form a THSP. Cells in a culture medium and in drying paint, representing homogeneous samples in different levels, were tested, and a comparison with the traditional method was carried out. An alternative random selection based on a Gaussian distribution around a desired position was also presented. The results showed that the traditional protocol presented higher variation than the outcomes using the random method. The higher the inhomogeneity of the activity map, the higher the efficiency of the proposed method using random points. The Gaussian distribution proved to be useful when there was a well-defined area to monitor.

© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Roberto A. Braga, Jr. ; Rolando J. González-Peña ; Dimitri Campos Viana and Fernando Pujaico Rivera
"Dynamic laser speckle analyzed considering inhomogeneities in the biological sample", J. Biomed. Opt. 22(4), 045010 (Apr 25, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.4.045010


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