Biospeckle assessment of torn plant leaf tissue and automated computation of leaf vein density (LVD)

Ansari, Mohammad Zaheer; Nirala, Anil Kumar

doi:10.1051/epjap/2015150013

Cited by 21 publications

(20 citation statements)

References 24 publications

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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%

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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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Section: Methodsmentioning

confidence: 99%

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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“…Different methods have been developed to characterize biospeckle activity, and the choice of a specific approach depends on the nature of the phenomenon under study. In situations where the biospeckle activity is not uniform over the sample, image-processing based techniques such as Fujii method, generalized differences (GD) or weighted generalized differences (WGD) methods are more efficient to characterize the detected activity (Rabal and Braga Jr 2008;Ansari and Nirala 2015).…”

Section: Biospeckle Data Analysismentioning

confidence: 99%

“…In this case, the activity observed is the result of movement inside the living tissue and can be attributed to many processes, such as growth and cell division, cytoplasmic movement, biomechanical reactions or water-related activities (Zdunek et al 2014;Ansari and Nirala 2015). The study of the biospeckle activity, also named as biospeckle laser or LBSA (laser biospeckle activity), has been widely applied for analyzing different processes, such as plant seed activity analysis, blood flow detection, visualization of tissue perfusion, burn scar perfusion, fruit maturation, and assessment of leaf vein system (Zhong et al 2014;Zdunek et al 2014;Ansari and Nirala 2015). Jatropha curcas L. (Family: Euphorbiaceae), is a promising energy crop that is being extensively studied to develop bio-fuel technology from its seeds, as well as for other beneficial uses.…”

Section: Introductionmentioning

confidence: 99%

Optical study of laser biospeckle activity in leaves of Jatropha curcas L.: a non-invasive and indirect assessment of foliar endophyte colonization

et al. 2020

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Currently, the detection of endophytic fungi is determined mostly by invasive methods, including direct isolation of fungal organisms from plant tissue in growth media, molecular detection of endophytic fungi DNA from plant material by PCR, or evaluation under microscopy techniques. In 2 this work we explore the potential of laser biospeckle activity (LBSA) to be used for the detection of endophytic colonization of leaves of a promising energy crop, Jatropha curcas L. We compared the laser biospeckle activity of endophyte infected and uninfected J. curcas leaves. The differences between blade and veins (including midrib) of the studied leaves was validated and growth parameters of the studied plants were also analyzed using the normalized weigthed generalized differences coefficient (nWGD). The obtained results showed a relationship between the endophytic burden of leaves and the LBS, suggesting that LSBA is a useful tools to detect endophytic colonization in situ.Also, the increased water movements inside leaves promoted by endophytic colonization could be explain by the obtained data.

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“…The biospeckle laser technique has been applied to quantify and differentiate regions of different activities in several studies related to agriculture as in the analysis of leaf tissues (Ansari and Nirala, 2015), quality of meat (Amaral et al, 2015), root growth (Braga et al, 2009;Ribeiro et al, 2013), incidence analysis of parasites (Ansari et al, 2016;Grassi et al, 2016) and bacteria (Ramírez-Miquet et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Determination of macaw fruit harvest period by biospeckle laser technique

Costa¹,

Pinto²,

JÃonior³

et al. 2017

Afr. J. Agric. Res.

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Macaw palm has been stood out as a raw material for the production of bioenergy, because it has high productivity of oil and less emission of polluting waste during combustion, meeting the worldwide demand for sustainable energy sources. The aims of this research were the evaluation of response of the biologic activity measured by the optical technique of the biospeckle laser applied to macaw palm fruits at different maturity weeks and develop a classifier in function of biologic activity to determine the harvest period related with oil content in the fruits. To perform the experiment, 10 weeks fruits different maturity stages were evaluated. The biospeckle laser images were obtained by illuminating the epicarp of each fruit. The biological activity was quantified by absolute value of difference algorithm applied to biospeckle images. A neural network was developed to classify the fruits which were closer to harvest in function of biologic activity. Biologic activity showed a significant linear ratio (R 2 = 0.913) with the maturation of fruits. Classification results have shown that fruits from 59 th week after flowering are ideal for harvest and present the highest oil levels.

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Biospeckle assessment of torn plant leaf tissue and automated computation of leaf vein density (LVD)

Cited by 21 publications

References 24 publications

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

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

Optical study of laser biospeckle activity in leaves of Jatropha curcas L.: a non-invasive and indirect assessment of foliar endophyte colonization

Determination of macaw fruit harvest period by biospeckle laser technique

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