Spatio-temporal feature analysis of laser speckle images for simultaneous quantification of skin thickness and perfusion demonstrated using in-vitro scleroderma phantoms

Krishnamurthy, Priya; Unni, Sujatha Narayanan; Jayasankar, Subitcha

doi:10.1016/j.optlaseng.2024.108057

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…As the time progresses, the bacterial cells start aggregating causing a reduction in the light scattering intensity thus leading to higher contrast values. In our previous study, we have observed increase in speckle contrast for an increase in static scatterers [9]. Increase in speckle contrast also can be correlated to increased surface roughness attributed to dense growth of cells causing high irregularity in the height profile…”

Section: Resultsmentioning

confidence: 73%

Assessment of formation of Escherichia coli biofilm on solid substrates using laser speckle imaging parameters

Krishnamurthy,

Unni,

Narayani Rao

et al. 2024

Biomedical Spectroscopy, Microscopy, and Imaging III

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Bacterial biofilms exist as aggregates of bacterial cells enclosed in a polysaccharide matrix, offering them resistance to various mechanical, chemical, antimicrobial, and environmental stress. The formation of biofilm on solid substrates occurs through a series of steps. It is essential to understand the stage of biofilm formation for several biomedical applications, such as assessing the coating efficacy for hard tissue implants, devising treatment strategies to inhibit biofilm formation in thin tissues, and building biocompatible diagnostic devices. In this work, we propose Laser Speckle Image Analysis to evaluate the bacterial biofilm formation stages with the help of different parameters extracted from the laser speckle image. These parameters give insight into the concentration and orientation changes of bacteria through the different stages of biofilm. The formation of biofilm on polypropylene substrate is evaluated and validated with optical microscopy images.

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Section: Resultsmentioning

confidence: 73%

Assessment of formation of Escherichia coli biofilm on solid substrates using laser speckle imaging parameters

Krishnamurthy,

Unni,

Narayani Rao

et al. 2024

Biomedical Spectroscopy, Microscopy, and Imaging III

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A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

Pieczywek,

Nosalewicz,

Zdunek

2024

Plant Methods

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Background Fruit storage methods such as dynamic controlled atmosphere (DCA) technology enable adjusting the level of oxygen in the storage room, according to the physiological state of the product to slow down the ripening process. However, the successful application of DCA requires precise and reliable sensors of the oxidative stress of the fruit. In this study, respiration rate and chlorophyll fluorescence (CF) signals were evaluated after introducing a novel predictors of apples' hypoxic stress based on laser speckle imaging technique (LSI). Results Both chlorophyll fluorescence and LSI signals were equally good for stress detection in principle. However, in an application with automatic detection based on machine learning models, the LSI signal proved to be superior, due to its stability and measurement repeatability. Moreover, the shortcomings of the CF signal appear to be its inability to indicate oxygen stress in tissues with low chlorophyll content but this does not apply to LSI. A comparison of different LSI signal processing methods showed that method based on the dynamics of changes in image content was better indicators of stress than methods based on measurements of changes in pixel brightness (inertia moment or laser speckle contrast analysis). Data obtained using the near-infrared laser provided better prediction capabilities, compared to the laser with red light. Conclusions The study showed that the signal from the scattered laser light phenomenon is a good predictor for the oxidative stress of apples. Results showed that effective prediction using LSI was possible and did not require additional signals. The proposed method has great potential as an alternative indicator of fruit oxidative stress, which can be applied in modern storage systems with a dynamically controlled atmosphere.

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Spatio-temporal feature analysis of laser speckle images for simultaneous quantification of skin thickness and perfusion demonstrated using in-vitro scleroderma phantoms

Cited by 2 publications

References 22 publications

Assessment of formation of Escherichia coli biofilm on solid substrates using laser speckle imaging parameters

Assessment of formation of Escherichia coli biofilm on solid substrates using laser speckle imaging parameters

A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

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