Analysis of optically anisotropic properties of biological tissues under stretching based on differential Mueller matrix formalism

Chen, Hao Wei; Huang, Ching-Lien; Lo, Yu Lung; Chang, You Ren

doi:10.1117/1.jbo.22.3.035006

Cited by 17 publications

(10 citation statements)

References 23 publications

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“…In this case, we can either utilize polarisation-sensitive Monte Carlo simulations to estimate the polarisation sampling volumes (which yields the mean pathlength and thickness estimate) 15 or compare relative values of different linear retardance measurements (without decoupling the separate birefringence or thickness contributions) 26 . Other groups have reported birefringence increases between normal and stretched chicken breast tissue 27 , 28 , but the quantification of the specific dependence of birefringence on strain (~20% in this case) is unknown, likely varies for different tissue types, and makes quantitative comparisons difficult. But certainly the probe-measured trend of increasing tissue asymmetry upon stretching (as reported by birefringence and/or retardance) makes sense.…”

Section: Resultsmentioning

confidence: 84%

Flexible polarimetric probe for 3 × 3 Mueller matrix measurements of biological tissue

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Gribble

Alali³

et al. 2017

Sci Rep

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Polarimetry is a noninvasive method that uses polarised light to assess biophysical characteristics of tissues. A series of incident polarisation states illuminates a biological sample, and analysis of sample-altered polarisation states enables polarimetric tissue assessment. The resultant information can, for example, help quantitatively differentiate healthy from pathologic tissue. However, most bio-polarimetric assessments are performed using free-space optics with bulky optical components. Extension to flexible fibre-based systems is clinically desirable, but is challenging due to polarisation-altering properties of optical fibres. Here, we propose a flexible fibre-based polarimetric solution, and describe its design, fabrication, calibration, and initial feasibility demonstration in ex vivo tissue. The design is based on a flexible fibre bundle of six multimode optical fibres, each terminated with a distal polariser that ensures pre-determined output polarisation states. The resultant probe enables linear 3 × 3 Mueller matrix characterization of distal tissue. Potential in vivo Mueller matrix polarimetric tissue examinations in various directly-inaccessible body cavities are envisioned.

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Section: Resultsmentioning

confidence: 84%

Flexible polarimetric probe for 3 × 3 Mueller matrix measurements of biological tissue

Forward

Gribble

Alali³

et al. 2017

Sci Rep

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“…The key of measuring optical parameters is acquisition of Mueller matrix of a sample. Figure 3 presents a full-field Mueller matrix system that a beam expander and a CCD are added into this system [21]. The intensity of the optical beam I(θ) on the detector is given by:…”

Section: Stokes Vector and Mueller Matrix Polarimetrymentioning

confidence: 99%

“…According to Chen et al [21], the Mueller matrix for a LB material with an orientation angle α and phase retardancy β can be decoupled and expressed as…”

Section: Stokes Vector and Mueller Matrix Polarimetrymentioning

confidence: 99%

“…Since biological muscle tissue is a viscoelastic material, it is not easy to measure the stress of muscle tissue. In the past, many studies have used optical technology to measure the characteristics of biological muscle tissue [17][18][19][20][21], using optical measurement to measure abnormal stress of muscle tissue, and diagnosed some diseases. In the past, the anisotropic parameters, e.g., linear birefringence (LB), circular birefringence (CB), circular dichroism (CD), linear dichroism (LD), and depolarization (Dep), were used to measure the stress of chicken breast tissue [21] based upon the linear birefringence decoupled from the Mueller matrix of a tested sample.…”

Section: Introductionmentioning

confidence: 99%

“…In the past, many studies have used optical technology to measure the characteristics of biological muscle tissue [17][18][19][20][21], using optical measurement to measure abnormal stress of muscle tissue, and diagnosed some diseases. In the past, the anisotropic parameters, e.g., linear birefringence (LB), circular birefringence (CB), circular dichroism (CD), linear dichroism (LD), and depolarization (Dep), were used to measure the stress of chicken breast tissue [21] based upon the linear birefringence decoupled from the Mueller matrix of a tested sample. Chen et al (2012) studied the optical properties of chicken breast under tensile loading with polarization sensitive optical coherence tomography (PS-OCT) technology, finding that the birefringence went up along with the increase of tensile loading [22].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Use of Digital Image Correlation Method to Measure Bio-Tissue Deformation

et al. 2021

Self Cite

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Traditionally, strain gauge, extensometer, and reflection tracking markers have been used to measure the deformation of materials under loading. However, the anisotropy and inhomogeneity of most biological materials restricted the accessibility of the real strain field. Compared to the video extensometer, digital image correlation has the advantage of providing full-field displacement as well as strain information. In this study, a digital image correlation method (DIC) measurement system was employed for chicken breast bio-tissue deformation measurement. To increase the contrast for better correlation, a mixture of ground black pepper and white sesame was sprayed on the surface of samples. The first step was to correct the distorted image caused by the lens using the inverse distorted calibration method and then the influence of subset size and correlation criteria, sum of squared differences (SSD), and zero-normalized sum of squared differences (ZNSSD) were investigated experimentally for accurate measurement. Test results of the sample was translated along the horizontal direction from 0 mm to 3 mm, with an increment of 0.1 mm and the measurement result was compared, and the displacement set on the translation stage. The result shows that the error is less than 3%, and accurate measurement can be achieved with proper surface preparation, subset size, correlation criterion, and image correction. Detailed examination of the strain values show that the strain εx is proportional to the displacement of crosshead, but the strain εy indicates the viscoelastic behavior of tested bio-tissue. In addition, the tested bio-tissue’s linear birefringence extracted by a Mueller matrix polarimetry is for comparison and is in good agreement. As noted above, the integration of the optical parameter measurement system and the digital image correlation method is proposed in this paper to analyze the relationship between the strain changes and optical parameters of biological tissue, and thus the relative optic-stress coefficient can be significantly characterized if Young's modulus of biological tissue is known.

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Detection of non‐small cell lung cancer cells based on microfluidic polarization microscopic image analysis

Wang

Meng

et al. 2018

Electrophoresis

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In early diagnosis of lung cancer, a polarization microscopy is a powerful tool to obtain the optical information of biological tissues. In this paper, a new microfluidic polarization imaging and analysis method was proposed for the detection and classification of cancer‐associated fibroblasts and the two kinds of non‐small cell lung cancer cells, A549 and H322. A polarizing microscopy system was constructed based on a commercial microscope to obtain 3*3 Mueller matrix of cells. Based on the Muller matrix decomposition algorithm and analysis in spatial domain and frequency domain, appropriate classification parameters were selected for the characterization of different polarization characteristics of cells. Finally, the logistic regression models based on machine learning were applied to determine optimal feature parameters and classify cells. This method integrated the morphological information of the cells, and the polarization characteristics of the cells in different polarization states. It is for the first time that the polarization microscopic image analysis method has been applied to the detection and classification of non‐small cell lung cancer cells. The results show that the presented microfluidic polarization microscopic image analysis method could classify cells effectively. Compared with the Muller matrix measurement and calculation methods, the method proposed in this paper was greatly simplified in both the acquisition of polarized images and the analysis and processing of polarized images.

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Analysis of optically anisotropic properties of biological tissues under stretching based on differential Mueller matrix formalism

Cited by 17 publications

References 23 publications

Flexible polarimetric probe for 3 × 3 Mueller matrix measurements of biological tissue

Flexible polarimetric probe for 3 × 3 Mueller matrix measurements of biological tissue

Use of Digital Image Correlation Method to Measure Bio-Tissue Deformation

Detection of non‐small cell lung cancer cells based on microfluidic polarization microscopic image analysis

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