Temporal difference method for processing dynamic speckle patterns

Martı́-López, Luis; Cabrera, Humberto; Martı́nez-Celorio, R.A.; González-Peña, Rolando J.

doi:10.1016/j.optcom.2010.07.073

Cited by 32 publications

(11 citation statements)

References 20 publications

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“…In order to assign numerical values to measure the activity of the dynamic Biospeckle patterns, three approaches were taken, which are based on modifications of the Temporal Difference Method [8]. In all cases, whole successive images of a video were processed.…”

Section: Methodsmentioning

confidence: 99%

“…The methodology is based on laser dynamic speckle interferometry, called Biospeckle interferometry [7][8]. Different Biospeckle descriptors have been proposed and evaluated from the performance point of view [9] and others have explored the combination of spatial—temporal patterns for the analysis of the dynamics of slow-varying phenomena [10].…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Laser Biospeckle Method for the Evaluation of the Activity of Trypanosoma cruzi Using VDRL Plates and Digital Analysis

et al. 2016

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In this paper we report a quantitative laser Biospeckle method using VDRL plates to monitor the activity of Trypanosoma cruzi and the calibration conditions including three image processing algorithms and three programs (ImageJ and two programs designed in this work). Benznidazole was used as a test drug. Variable volume (constant density) and variable density (constant volume) were used for the quantitative evaluation of parasite activity in calibrated wells of the VDRL plate. The desiccation process within the well was monitored as a function of volume and of the activity of the Biospeckle pattern of the parasites as well as the quantitative effect of the surface parasite quantity (proportion of the object’s plane). A statistical analysis was performed with ANOVA, Tukey post hoc and Descriptive Statistics using R and R Commander. Conditions of volume (100μl) and parasite density (2-4x104 parasites/well, in exponential growth phase), assay time (up to 204min), frame number (11 frames), algorithm and program (RCommander/SAGA) for image processing were selected to test the effect of variable concentrations of benznidazole (0.0195 to 20μg/mL / 0.075 to 76.8μM) at various times (1, 61, 128 and 204min) on the activity of the Biospeckle pattern. The flat wells of the VDRL plate were found to be suitable for the quantitative calibration of the activity of Trypanosoma cruzi using the appropriate algorithm and program. Under these conditions, benznidazole produces at 1min an instantaneous effect on the activity of the Biospeckle pattern of T. cruzi, which remains with a similar profile up to 1 hour. A second effect which is dependent on concentrations above 1.25μg/mL and is statistically different from the effect at lower concentrations causes a decrease in the activity of the Biospeckle pattern. This effect is better detected after 1 hour of drug action. This behavior may be explained by an instantaneous effect on a membrane protein of Trypanosoma cruzi that could mediate the translocation of benznidazole. At longer times the effect may possibly be explained by the required transformation of the pro-drug into the active drug.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Laser Biospeckle Method for the Evaluation of the Activity of Trypanosoma cruzi Using VDRL Plates and Digital Analysis

et al. 2016

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“…The MHI results are further compared with routine offline methods of parameterized Fujii [10], temporal difference (TD) [11,12] as presented in Eqs. (5) and (6), as well as with online method of LASCA [8] as presented in Eq.…”

Section: Methodsmentioning

confidence: 99%

“…Other approaches include the generation of the time history speckle pattern (THSP) and its characterization using different descriptors [1,4], the generalized difference method [5], a modified version of the time correlation [6], the characterization of the time evolution of the texture of the speckle pattern [7], the speckle pattern contrast imaging [8], empirical mode decomposition [9], the Fujii method [10], and the temporal difference method [11,12] among others. All these methods evaluate the phenomenon of dynamic speckle offline.…”

Section: Introductionmentioning

confidence: 99%

Online fast Biospeckle monitoring of drug action in Trypanosoma cruzi parasites by motion history image

et al. 2016

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This paper reports on the application of the motion history image (MHI) method on dynamic laser speckle processing as a result of a specific drug action on Trypanosoma cruzi parasites. The MHI procedure is based on human action recognition, and unlike other methods which use a sequence consisting of several frames for recognition, this method uses only an MHI per action sequence for recognition. MHI method avoids the complexity as well as the large computation in sequence matching-based methods and detects a change in the speckle pattern. Experimental results of MHI on real-time monitoring of activity (motility) under the influence of the drug demonstrate the effectiveness of the proposed method. The MHI showed an online result without loss of resolution and definition if we compare with routine LASCA method. The obtained results highlight the advantage of the MHI analysis over traditional qualitative image intensity-based methods and demonstrate the potential of measuring the activity of parasites via dynamic laser speckle analysis. The data was further numerically analyzed in the time domain, and the results presented the ability of the technique to monitor the action of the drug, particularly Epirubicin (100 μg/ml).

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“…Currently, biospeckles are successfully used in studies of the activity of various biological objects [1][2][3]. In this study, the biospeckle dynamics was used to investigate the processes occurring in biological mem branes.…”

mentioning

confidence: 99%

A speckle-interferometric device for studying the cell biological activity

et al. 2012

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A modernized device intended for diagnosing the temperature dependent activity of cells is described. The activity of cells was determined by finding the correlation coefficient of optical signals in speckle patterns recorded at different moments of time. It is shown that, as the temperature increases from 26 to 36°C, variations in the optical paths in cells increase from 16 to 26 nm. This is probably associated with the physiological activity of cells-trapping of large molecules or their conglomerates. In contrast to the pre vious variant of the device design, instead of a lipid membrane, a cell monolayer was used, which was culti vated on a plane-parallel glass plate. In order to reduce variations in the optical path lengths in a nutrient solution, a 1.7 mm thick plane-parallel glass plate was additionally inserted into the cuvette. The modern ization of the device also includes heating of the cuvette with hot air flows.

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Temporal difference method for processing dynamic speckle patterns

Cited by 32 publications

References 20 publications

Quantitative Laser Biospeckle Method for the Evaluation of the Activity of Trypanosoma cruzi Using VDRL Plates and Digital Analysis

Quantitative Laser Biospeckle Method for the Evaluation of the Activity of Trypanosoma cruzi Using VDRL Plates and Digital Analysis

Online fast Biospeckle monitoring of drug action in Trypanosoma cruzi parasites by motion history image

A speckle-interferometric device for studying the cell biological activity

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