Assessment of the Use of Infrared Laser for Dynamic Laser Speckle (DLS) Technique
Ellem W. N. Contado,
Moacir Pasqual,
Joyce Dória,
Rolando J. Gonzalez-Peña,
Lionel X. Dupuy and
Roberto A. Braga ()
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Ellem W. N. Contado: Departament of Automatica (DAT), Federal University of Lavras (UFLA), Lavras 37.200-000, MG, Brazil
Moacir Pasqual: Departament of Agriculture (DAG), Federal University of Lavras (UFLA), Lavras 37.200-000, MG, Brazil
Joyce Dória: Departament of Agriculture (DAG), Federal University of Lavras (UFLA), Lavras 37.200-000, MG, Brazil
Rolando J. Gonzalez-Peña: Department of Physiology, Universitat de València, 46010 Valensia, Spain
Lionel X. Dupuy: Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain
Roberto A. Braga: Departament of Automatica (DAT), Federal University of Lavras (UFLA), Lavras 37.200-000, MG, Brazil
Agriculture, 2023, vol. 13, issue 3, 1-15
Abstract:
Dynamic laser speckle (DLS) analysis is a very sensitive technique to measure biological activity within samples. In agriculture, the technique is applied to monitor seed germination, but external light, water content, and pigments affect the measurements. DLS systems use visible light sources, typically red lasers, which may exacerbate their influences. The main objective of this work is to assess whether infrared (IR) lasers improve the robustness of DLS measurements in seed germination applications. We develop a system where DLS analysis can be performed simultaneously on visible and IR light. Using the system, we quantify how the DLS signal is affected by pigments and scattering. The results show that the use of IR light reduces the variability of the measurements acquired. DLS systems based on IR light appear to be less sensitive to pigments, and the greater penetration of IR light into samples, which is due to reduced scattering, may contribute to the signal collected being correlated to relevant biological processes within the inner tissue. Additionally, water activity provides less influence on the DLS signal when an IR laser is used. These findings support the wider use of IR lasers in DLS-based instruments for applications in biological samples.
Keywords: speckle laser; infrared laser; speckle laser analysis; Zea mays L. (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2023:i:3:p:546-:d:1078739
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