Dynamic laser speckle analyzed considering inhomogeneities in the biological sample

Braga, Roberto A.; González-Peña, Rolando J.; Viana, Dimitri Campos

doi:10.1117/1.jbo.22.4.045010

Cited by 26 publications

(13 citation statements)

References 30 publications

(32 reference statements)

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“…An assay designed to develop dynamic laser speckle or Biospeckle aims at providing a digital signal which is caught in a video. Biologic materials [29] as well as the illumination in the setup tend to cause inhomogeneities that affect the digital processing of the images. Furthermore, subsurface inhomogeneities have been reported and revealed with laser speckle [30].…”

Section: Discussionmentioning

confidence: 99%

“…Developing the Biospeckle methodology with bacteria has to take into account the size and the density of the microorganism, as well as the motility and Brownian motion. Moreover, the assumption of homogeneity cannot be applied directly to Biospeckle laser monitoring of microorganisms in a medium [29]. Since there are variations of homogeneity in the illuminated sample, particularly in a culture medium with cells, it was necessary to select a region of the frames where the activity of the microorganism and the effect of the antibiotic are properly revealed.…”

Section: Selection Of the Region Of Interest (Roi)mentioning

confidence: 99%

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Biospeckle laser digital image processing for quantitative and statistical evaluation of the activity of ciprofloxacin onEscherichia coliK-12

et al. 2019

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Antibiotic susceptibility testing is a necessary step prior to the treatment of clinical infections. A major concern is the time required to obtain a fast and reliable result. The aim of this work is to use Biospeckle laser in a 15min assay for an antimicrobial susceptibility test of Ciprofloxacin in serial two-fold dilutions on Escherichia coli K-12 using Venereal Disease Research Laboratory (VDRL) plates. Analysis of images by video edition is performed on a quantitatively selected region of interest, and processed with ImageJ-ImageDP; and by the construction of time series and analysis with either statistical diagnostics tests or Autoregressive Integrated Moving Average (ARIMA) models.Antimicrobial susceptibility tests are also performed for the purpose of quantitative comparison, showing a profile that is comparable to the result obtained with ImageJ-ImageDP processing after 15min of antibiotic action. Only the time series of the least affected bacteria (low Ciprofloxacin concentration) behaves in an expected manner, being non-independent and mainly non-linear, non-normal, and heteroscedastic. The most affected bacteria (higher Ciprofloxacin concentration) are non-independent and tend to be linear, normal and heteroscedastic. Adjustment to a linear regression identifies both, the culture medium without bacteria and the most affected bacteria, normality identifies the most affected bacteria and heteroscedasticity-homoscedasticity distinguishes the presenceabsence of bacteria, respectively. ARIMA models (1,1,1)(1,0,1) 11 and (4,1,1)(1,1,1) 11 fit the time series of the most affected bacteria while the latter also fits the culture medium without bacteria. The time series of the least affected bacteria are identified by a (7,1,2)(1,0,1) 11 model. The non-linear, non-normal and heteroscedastic behavior of this group is probably responsible for its adjustment to a model with a relatively high parameter. The four methods: diagnostic statistical tests, fitting of ARIMA models, ImageJ-ImageDP and antimicrobial susceptibility tests, show similar results, being able to distinguish among the groups of assays with bacteria and Ciprofloxacin below and above the Minimal Inhibitory Concentration.

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Section: Discussionmentioning

confidence: 99%

Section: Selection Of the Region Of Interest (Roi)mentioning

confidence: 99%

Biospeckle laser digital image processing for quantitative and statistical evaluation of the activity of ciprofloxacin onEscherichia coliK-12

et al. 2019

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“…Therefore, the selection of a ROI is an important step prior to the analysis of the results. Braga et al [29] have addressed the problem of inhomogeneities by selecting pixels at random, whereas Meschino et al have performed a Self-Organizing Map based on Artificial Neural Networks. According to those authors, care must be taken so as to select a representative area for calculation.…”

Section: Discussionmentioning

confidence: 99%

Biospeckle laser digital image processing for quantitative and statistical evaluation of the activity of Ciprofloxacin onEscherichia coliK-12

Grassi

Velásquez

Belandria

et al. 2018

Preprint

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47Antibiotic susceptibility testing is a necessary step prior to the treatment of clinical 48 infections. A major concern is the time required to obtain a fast and reliable result. The aim 49 of this work is to use Biospeckle laser in a 15min assay for an antimicrobial susceptibility 50 test of Ciprofloxacin in serial two-fold dilutions on Escherichia coli K-12 using Venereal 51 Disease Research Laboratory (VDRL) plates. Analysis of images by video edition is 52 performed on a quantitatively selected region of interest, and processed with ImageJ-53 ImageDP; and by the construction of time series and analysis with either statistical 54 diagnostics tests or Autoregressive Integrated Moving Average (ARIMA) models. 55 Antimicrobial susceptibility tests are also performed for the purpose of quantitative 56 comparison, showing a profile that is comparable to the result obtained with ImageJ-57 ImageDP processing after 15min of antibiotic action. Only the time series of the least 58 affected bacteria (low Ciprofloxacin concentration) behaves in an expected manner, being 59 non-independent and mainly non-linear, non-normal, and heteroscedastic. The most 60 affected bacteria (higher Ciprofloxacin concentration) are non-independent and tend to be 61 linear, normal and heteroscedastic. Adjustment to a linear regression identifies both, the 62 culture medium without bacteria and the most affected bacteria, normality identifies the 63 most affected bacteria and heteroscedasticity-homoscedasticity distinguishes the presence-64absence of bacteria, respectively. ARIMA models () 11 fit the 65 time series of the most affected bacteria while the latter also fits the culture medium 66 without bacteria. The time series of the least affected bacteria are identified by a 67 (7,1,2)(1,0,1) 11 model. The non-linear, non-normal and heteroscedastic behavior of this 68 group is probably responsible for its adjustment to a model with a relatively high 69 parameter. The four methods: diagnostic statistical tests, fitting of ARIMA models, ImageJ-70 ImageDP and antimicrobial susceptibility tests, show similar results, being able to 71 distinguish among the groups of assays with bacteria and Ciprofloxacin below and above 72 the Minimal Inhibitory Concentration. 74 Author Summary 75Biospeckle laser patterns occur when a dynamic surface is illuminated. This research 76 describes its application to the activity of Escherichia coli bacteria and the effect of 18 77 different concentrations of an antibiotic (Ciprofloxacin) in a 15min assay, using VDRL 78 plates where the sample has a relatively small volume and is flat shaped. The assay is 79 performed on an anti-vibration table in a dark room with a laser that sequentially 80 illuminates each of the wells of the plate. A camera takes short 30sec videos with 81 approximately 750 frames and sends them to a computer where image processing takes 82 place. In order to select a segment of 80 successive frames to analyze, the region with the 83 higher variation was identified, punched out and edited as a "fl...

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“…Although the pristine, flat, curved, or rough MPs differently modifies the initially generated speckle pattern by the rough glass disk, we simply refer to the obtained images on CCD as a speckle pattern. The use of speckle pattern has found many practical applications [20][21][22][23]. The method of speckle pattern projection [20] has been suggested for the detection of the thickness of transparent objects.…”

Section: Methodsmentioning

confidence: 99%

Laser beam scattering for the detection of flat, curved, smooth, and rough microplastics in water

Asamoah

Amoani

Roussey

et al. 2020

Opt Rev

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Microplastic (MP) pollution is alarming and poses an imminent threat to the environment with a direct impact on our health and that of fauna in natural water bodies. The understanding of light-MP interactions in water as well as the need for low-cost and robust optical sensors for the detection of MPs that appear everywhere is, therefore, necessary. We have demonstrated the use of a prototype optical sensor in the detection of flat and curved [from polyethylene terephthalate (PET) water bottle] pristine and rough MPs from commercial PET and low-density polyethylene plastics in water. The optical sensor utilizes a photodiode and charge-coupled device (CCD) camera to record simultaneously the specular reflection and the speckle pattern modified by the MPs. In this study, we have exploited the specular reflection in the detection of the pristine samples, whereas the speckle contrast, the normalized standard deviation of the speckle pattern intensity, is utilized in the qualitative estimation of the "effective" surface roughness of the MPs. With the sensor, one can, therefore, detect PET MPs with varying average surface roughness, Ra an indication of MP aging, embedded in water. The prototype can detect the effect of size, type, curvature, transparency, and the translucency of sunken and/or floating MPs in water based on the reflection, scattering, and the (edge) diffraction of light. However, the optical sensor is limited in the discrimination of MP concentration in water. Further modifications to the sensor are needed for its practical implementation in complex natural water bodies and wastewaters.

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Dynamic laser speckle analyzed considering inhomogeneities in the biological sample

Cited by 26 publications

References 30 publications

Biospeckle laser digital image processing for quantitative and statistical evaluation of the activity of ciprofloxacin onEscherichia coliK-12

Biospeckle laser digital image processing for quantitative and statistical evaluation of the activity of ciprofloxacin onEscherichia coliK-12

Biospeckle laser digital image processing for quantitative and statistical evaluation of the activity of Ciprofloxacin onEscherichia coliK-12

Laser beam scattering for the detection of flat, curved, smooth, and rough microplastics in water

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