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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorRivera, Fernando Pujaico-
Autor(es): dc.creatorBraga, Roberto Alves-
Autor(es): dc.creatorIannetta, Pietro-
Autor(es): dc.creatorToorop, Peter-
Data de aceite: dc.date.accessioned2026-02-09T11:34:18Z-
Data de disponibilização: dc.date.available2026-02-09T11:34:18Z-
Data de envio: dc.date.issued2020-05-19-
Data de envio: dc.date.issued2020-05-19-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/41059-
Fonte completa do material: dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0168169918318982-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1142618-
Descrição: dc.descriptionThe 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.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceComputers and Electronics in Agriculture-
Palavras-chave: dc.subjectBiospeckle index-
Palavras-chave: dc.subjectBiospeckle signal-
Palavras-chave: dc.subjectSeed viability-
Palavras-chave: dc.subjectDynamic speckle-
Palavras-chave: dc.subjectBackscatter-
Palavras-chave: dc.subjectCoffea arabica-
Título: dc.titleSound as a qualitative index of speckle laser to monitor biological systems-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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