Loading…
An experimental approach to study the red blood cell dynamics in a capillary tube by biospeckle laser
•Biospeckle laser analysis as a tool for studying erythrocyte dynamics.•Wavelet filtering enhances the biospeckle signal.•Forward and side scattering biospeckle show different applications.•Inertia Moment parameter as hematocrit identifier and Correlation Index definition. In this study we investiga...
Saved in:
Published in: | Optics and lasers in engineering 2020-04, Vol.127, p.105943, Article 105943 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | •Biospeckle laser analysis as a tool for studying erythrocyte dynamics.•Wavelet filtering enhances the biospeckle signal.•Forward and side scattering biospeckle show different applications.•Inertia Moment parameter as hematocrit identifier and Correlation Index definition.
In this study we investigated the human red blood cell (RBC) dynamics by means of biospeckle laser analysis. Blood samples from healthy donors were introduced in a 0.8 mm internal diameter capillary tube, and illuminated with a He-Ne laser in order to obtain the biospeckle pattern from both side and forward scattered light. Experiments were carried out for different concentrations of red blood cells in plasma, from 25% to 50%. Biospeckle parameters such as Correlation Coefficient and Inertia Moment, were calculated for different frequency bandwidths in order to assess their sensitivity and versatility. A filter based on the Discrete Wavelet Transform was used to decompose the registered sample activity. A relation between Inertia Moment and the RBCs to plasma volume ratio was observed. The Correlation Index that measures the level of correlation of biospeckle images was defined and analyzed. This work inquires in a technique that is suitable for the development of novel non-invasive optical tools for clinical diagnosis in vascular pathologies. |
---|---|
ISSN: | 0143-8166 1873-0302 |
DOI: | 10.1016/j.optlaseng.2019.105943 |