Assessment of the Use of Infrared Laser for Dynamic Laser Speckle (DLS) Technique

Author:

Contado Ellem W. N.1,Pasqual Moacir2,Dória Joyce2ORCID,Gonzalez-Peña Rolando J.3ORCID,Dupuy Lionel X.45ORCID,Braga Roberto A.1ORCID

Affiliation:

1. Departament of Automatica (DAT), Federal University of Lavras (UFLA), Lavras 37.200-000, MG, Brazil

2. Departament of Agriculture (DAG), Federal University of Lavras (UFLA), Lavras 37.200-000, MG, Brazil

3. Department of Physiology, Universitat de València, 46010 Valensia, Spain

4. Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain

5. Department of Conservation of Natural Resources, Neiker, 48160 Derio, Spain

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.

Funder

FAPEMIG

CNPQ

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference49 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3