Development of thin skin mimicking bilayer solid tissue phantoms for optical spectroscopic studies

Nivetha, K. Bala; Sujatha, N.

doi:10.1364/boe.8.003198

Cited by 17 publications

(10 citation statements)

References 46 publications

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“…Various materials are used to create this phantoms, such as epoxy, polyester resin, or polyurethane material, which provide the photostability needed in long-term imaging applications [43][44][45]. Several scientific studies describe single-layer and twolayer solid gelatin phantoms fabricated for fluorescence studies, which are used to mimic normal and dysplasia tissue conditions [46,47]. In this case, gelatin is used to imitate the fluorescence of collagen, as this protein is the main structural component of connective tissues.…”

Section: Introductionmentioning

confidence: 99%

Fluorescence Imaging System for Biological Tissues Diagnosis: Phantom and Animal Studies

Shupletsov

Kandurova

Dremin

et al. 2020

J-BPE

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Currently, optical biopsy is a promising area of diagnosing the state of tissues in real time during the surgical treatment of oncological diseases. The important part of this direction is the development of fluorescence imaging systems and ensuring the accuracy of the calibration of optical measurements. The article describes the development of fluorescence imaging system to define tumor surgical resection margins of abdominal organs. In this study, we proposed of low-cost optical tissue-mimicking phantom combining solid base and liquid part that suitable for quick calibration of fluorescence imaging systems depending on the target endogenous fluorophores. The results of two series of experimental measurements are described. The first measurements of the optical phantom with riboflavin mononucleotide (imitating flavin adenine dinucleotide) and protoporphyrin IX demonstrated the sensitivity of the developed device to proportionally changing concentrations of target fluorophores. The second part of the study included in vivo measurements of liver tumors modeled in mice. The obtained results showed the ability of the developed fluorescence imaging system to register changes in fluorescence due to carcinogenesis.

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Section: Introductionmentioning

confidence: 99%

Fluorescence Imaging System for Biological Tissues Diagnosis: Phantom and Animal Studies

Shupletsov

Kandurova

Dremin

et al. 2020

J-BPE

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“…Such effects of spectral broadening accompanied with the changes in sample scattering concentration was previously studied by our group conducting spectroscopic studies on thin skin-mimicking bilayer solid tissue phantoms. 40 Referring to Fig. 3(b), the FAD emission spectra obtained from the abnormal region of the model was found to have its emission peak at 524 nm with a peak normalized intensity value of 1.…”

Section: Assessment Of Fadmentioning

confidence: 92%

“…Following the simulation study, a bilayered tissue equivalent phantom with epidermal (100 μm) and dermal (300 μm) layers mimicking the normal and NMSC condition was fabricated using spin-coating methodology previously developed by our group. 40…”

Section: Fabrication Of Tissue Equivalent Nmsc Phantommentioning

confidence: 99%

Model-based quantitative optical biopsy in multilayer in vitro soft tissue models for whole field assessment of nonmelanoma skin cancer

Kanakaraj

Sujatha

2018

J. Med. Imag.

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Optical techniques such as fluorescence and diffuse reflectance spectroscopy are proven to have the potential to provide tissue discrimination during the development of malignancies and hence treated as potential tools for noninvasive optical biopsy in clinical diagnostics. Quantitative optical biopsy is challenging and hence the majority of the existing strategies are based on a qualitative assessment of the concerned tissue. Light-tissue interaction models as well as precise optical phantoms can greatly help in the former and here we present a pilot study to assess the optical properties of a multilayer tissue-specific optical phantom with the help of a database generated using multilayer-Monte Carlo (MCML) models. A set of optical models mimicking the properties of actual and diseased conditions of tissues associated with nonmelanoma skin cancer (NMSC) were devised and MCML simulations of fluorescence and diffuse reflectance were performed on these models to generate the spectral signature of identified biomarkers of NMSC such as hemoglobin, flavin adenine dinucleotide, and collagen. A model library was generated and with the extracted features from modeled spectra, classification of normal and NMSC conditions were tested using the [Formula: see text]-nearest neighbor (KNN) classifier. Using an in-house assembled scan-based automated bimodal spectral imaging system with reflectance and fluorescence modalities of operation, a layered, thin, tissue equivalent phantom, fabricated with controlled optical properties mimicking normal and NMSC conditions were tested. The spectral signatures corresponding to the NMSC biomarkers were acquired from this phantom and extracted features from the spectra were tested using the KNN classifier and classification accuracy of 100% was achieved. For further quantitative analysis, the experimental and simulated spectra were compared with respect to the light intensity at the emission peak or absorption dips, spectral line width, and average intensity over a range of wavelength of interest and observed to be analogous within specified and systematic error limits. This methodology is expected to give a better quantitative approach for estimation of tissue properties by correlating the experimental and simulated data.

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“…Polymer beads, in a range of sizes that correspond to subcellular organelles (1-15 um) were embedded in a gelatin matrix. Polystyrene beads (PBs) are most frequently used for retinal phantom fabrication purposes [20] and consist of embedded hydrogel-based agents, such as gelatin and agarose [21,22] whose refractive index is close to commonly imaged biological structures. Four groups of phantoms were fabricated: various concentrations of gelatin solution (1); diverse diameter of PBs (2), their volume differences in the solution (3) and scatterer RIs (4).…”

Section: Phantom Preparation and Imagingmentioning

confidence: 99%

Textural Feature Analysis of Optical Coherence Tomography Phantoms

et al. 2022

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Optical coherence tomography (OCT) is an imaging technique based on interferometry of backscattered lights from materials and biological samples. For the quantitative evaluation of an OCT system, artificial optical samples or phantoms are commonly used. They mimic the structure of biological tissues and can provide a quality standard for comparison within and across devices. Phantoms contain medium matrix and scattering particles within the dimension range of target biological structures such as the retina. The aim was to determine if changes in speckle derived optical texture could be employed to classify the OCT phantoms based on their structural composition. Four groups of phantom types were prepared and imaged. These comprise different concentrations of a medium matrix (gelatin solution), different sized polystyrene beads (PBs), the volume of PBs and different refractive indices of scatterers (PBs and SiO2). Texture analysis was applied to detect subtle optical differences in OCT image intensity, surface coarseness and brightness of regions of interest. A semi-automated classifier based on principal component analysis (PCA) and support vector machine (SVM) was applied to discriminate the various texture models. The classifier detected correctly different phantom textures from 82% to 100%, demonstrating that analysis of the texture of OCT images can be potentially used to discriminate biological structure based on subtle changes in light scattering.

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Development of thin skin mimicking bilayer solid tissue phantoms for optical spectroscopic studies

Cited by 17 publications

References 46 publications

Fluorescence Imaging System for Biological Tissues Diagnosis: Phantom and Animal Studies

Fluorescence Imaging System for Biological Tissues Diagnosis: Phantom and Animal Studies

Model-based quantitative optical biopsy in multilayer in vitro soft tissue models for whole field assessment of nonmelanoma skin cancer

Textural Feature Analysis of Optical Coherence Tomography Phantoms

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