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Sound as a qualitative index of speckle laser to monitor biological systems

Author:
Rivera, Fernando Pujaico, Braga, Roberto Alves, Iannetta, Pietro, Toorop, Peter
Source:
Computers and electronics in agriculture 2019 v.158 pp. 271-277
ISSN:
0168-1699
Subject:
Coffea arabica, beans, ears, humans, models, seeds, tissues, wavelengths
Abstract:
The Biospeckle Laser (BSL) induced phenomenon is recorded as light scattered from the surface of illuminated test material, and the methodology is established as a tool for the non-destructive assessment of biological tissues. The output of BSL-based recording is normally numeric data that are processed to generate graphical and visual information. However, BSL outputs could presented in a qualitative audible format as a rapid means by which a test-tissues physiological states may be classified. Here we report a new BSL-data processing methodology that was able to discriminate viable and dead beans (seeds) of coffee (Coffea arabica L.) using single- and multi-frequency wavelength models. BSL-data was rapidly converted from the traditional numeric (graphical) output into forms (‘biospeckle index’) audible to the human ear. The utility and significance of this novel BSL-audio approach is discussed.
Agid:
6301433