Display of local activity using dynamical speckle patterns

Arizaga, Ricardo; Lucía, Nelly; Rabal, H.; Trivi, Marcelo

doi:10.1117/1.1428739

Cited by 140 publications

(54 citation statements)

References 19 publications

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“…The breakpoint in numerical approaches can be attributed to the creation of a time history represented by a line of points during sample illumination (Oulamara;Tribillon;Duvernoy, 1989). Time history of a line of points was defined as Space-Time Speckle (STS) (Xu;Joenathan;Khorana, 1995) and as Time History of Speckle Pattern (THSP) (Arizaga;Trivi;Rabal, 1999). Multiple indexes are obtained by THSP, and many reports can be found in the literature.…”

Section: Analysis Of Biospeckle Laser Applicationsmentioning

confidence: 99%

“…In turn, the Fujii method (Fujii et al, 1987) can be considered as the breakpoint in graphical approaches, with improvements proposed by the Generalized Differences (GD) (Arizaga et al, 2002), Standard Deviation (SD) (Nothdurft;Yao, 2005;Blotta et al, 2011), Temporal Difference (Marti-Lopez et al, 2010 and the Parametrized form of Temporal Difference (PTD) Nirala, 2014a,b).…”

Section: Analysis Of Biospeckle Laser Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

When noise became information: State-of-the-art in biospeckle laser

Braga

Alves²

2017

Ciênc. agrotec.

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Laser was presented to science and industry in the 1960s and shortly became a useful tool in many areas, with applications based on its multiple characteristics such as coherence of light, which presents a phenomenon known as interference pattern, or speckle, when beam returns from an illuminated surface. Despite great application of speckle pattern, its residual presence, for example, in interferometric approaches was considered as a noise, demanding filtering. However, grains themselves became information as their dynamic changes in time started to be linked to biological sample activity. Dynamic laser speckle has been since then a phenomenon widely used to monitor biological activities in many areas from agriculture to medicine. It is known as biospeckle laser (BSL) when adopted in biological material, with high sensitivity to follow very tiny movements in biological tissues, linked to changes in speckle provided by scatterer activities inside and outside cells. Since the 1970s, biospeckle laser usage follows a crescent technologic spiral where technological developments opened room for new applications, while new demands regarding biological monitoring forced the development of new methodologies. Therefore, potential adoption of the phenomenon as a sensor, for instance, in agricultural and medical processes, as well as constant offer of new devices provided new turns in the BSL technologic spiral and opened room for technique improvement. In this study, I present a short history of biospeckle laser (BSL) with applications and development associated with challenges regarding its usage in portable and accessible devices or even in commercial equipment. And the history was packed in a temporal diagram identifying the breakpoints responsible for improvements in the use of the technique.Index terms: Optical metrology; biosystems; challenges. RESUMOO laser foi apresentado à ciência e à indústria em 1960, e rapidamente tornou-se uma ferramenta útil à muitas áreas do conhecimento, que fazem uso de suas múltiplas características, como é o caso da coerência da luz, que é responsável pelo fenômeno conhecido como padrão de interferência, ou speckle; este padrão de interferência ocorre quando a luz retorna do material iluminado formando uma figura de interferência para o observador. Apesar da grande aplicação, a presença residual do padrão de speckle em abordagens interferométricas apresentavase como um ruído que demanda filtragem. Apesar da dificuldade em alguns casos, os grãos de speckle tornaram-se fonte de informação em situações dinâmicas, quando suas mudanças começaram a ser relacionadas à atividade do material biológico iluminado. Speckle laser dinâmico tornou-se o termo usado para denominar o fenômeno que passou a ser usado para monitorar a atividade biológica e não biológica em aplicações desde a agricultura até aquelas relacionadas à medicina. Este fenômeno também é conhecido como biospeckle laser (BSL), quando aplicado em material biológico, e com grande sensibilidade para seguir os menores movimentos ...

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Section: Analysis Of Biospeckle Laser Applicationsmentioning

confidence: 99%

Section: Analysis Of Biospeckle Laser Applicationsmentioning

confidence: 99%

When noise became information: State-of-the-art in biospeckle laser

Braga

Alves²

2017

Ciênc. agrotec.

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“…In order to adapt it to these situations, a descriptor called Generalized Differences was presented by Arizaga et al 27 , where intensity variations in different time scales are taken into account using the following expression: (19) where n and l are indices spanning all the possible numbers of the registered images. As every x n value is subtracted from every other value in X, the result does not depend on the sequence.…”

Section: Generalized Differences (Gd)mentioning

confidence: 99%

Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns

Pra¹,

Passoni²,

Sendra³

et al. 2015

IJCIS

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The laser dynamic speckle is a phenomenon caused by the fluctuant interference of the laser light reflected from an illuminated surface where some kind of activity is taking place. Signals generated by the intensity changes in each pixel through the sequence are processed with the finality of identifying underlying activity in each point. In this work we compare the performance of a Rough Fuzzy Granular Descriptor (previously published) against a set of dynamic speckle descriptors based in time and frequency processing. To perform this evaluation a numerical simulation is proposed to explore their linearity, robustness, sensitivity related to the samples quantity, as well as also by their computing time. Also the robustness to inhomogeneous spatial intensity was evaluated in an experiment performed with the illuminated surface of an actual biological object.

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“…17 It is given as E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 0 5 ; 3 2 6 ; 6 9 4 GDði; jÞ…”

Section: Image's Descriptorsmentioning

confidence: 99%

Characterization of spatial–temporal patterns in dynamic speckle sequences using principal component analysis

et al. 2016

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Abstract. Speckle is being used as a characterization tool for the analysis of the dynamics of slow-varying phenomena occurring in biological and industrial samples at the surface or near-surface regions. The retrieved data take the form of a sequence of speckle images. These images contain information about the inner dynamics of the biological or physical process taking place in the sample. Principal component analysis (PCA) is able to split the original data set into a collection of classes. These classes are related to processes showing different dynamics. In addition, statistical descriptors of speckle images are used to retrieve information on the characteristics of the sample. These statistical descriptors can be calculated in almost real time and provide a fast monitoring of the sample. On the other hand, PCA requires a longer computation time, but the results contain more information related to spatial-temporal patterns associated to the process under analysis. This contribution merges both descriptions and uses PCA as a preprocessing tool to obtain a collection of filtered images, where statistical descriptors are evaluated on each of them. The method applies to slow-varying biological and industrial processes.

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Display of local activity using dynamical speckle patterns

Cited by 140 publications

References 19 publications

When noise became information: State-of-the-art in biospeckle laser

When noise became information: State-of-the-art in biospeckle laser

Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns

Characterization of spatial–temporal patterns in dynamic speckle sequences using principal component analysis

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