Open Access
15 December 2018 Characterization of healthy and nonmelanoma-induced mouse utilizing the Stokes–Mueller decomposition
Dan Linh Le, Trinh Ngoc Huynh, Dat Tan Nguyen, Toi Van Vo, Thi-Thu-Hien Pham
Author Affiliations +
Abstract
Skin cancer is one of the most common cancers, including melanoma and nonmelanoma cancer. Melanoma can be easily detected by the observation of abnormal moles, but nonmelanoma signs and symptoms are not apparent in the early stages. We use the Stokes–Mueller matrix decomposition method to detect nonmelanoma at the early stage by decomposing the characteristics of polarized light interacting with normal and cancerous tissues. With this decomposition method, we extract nine optical parameters from biological tissues, namely the LB orientation angle (α), the LB phase retardance (β), the CB optical rotation angle (γ), the LD orientation angle (θd), the linear dichroism (D), the circular dichroism (R), the degrees of linear depolarization (e1 and e2), the degree of circular depolarization (e3), and the depolarization index (Δ). The healthy skin and the induced nonmelanoma skin cancer of mice are analyzed and compared based on their optical parameters. We find distinctive ranges of values for normal skin tissue and nonmelanoma skin cancer, in which β and D in cancerous tissue are larger and nonmelanoma skin becomes less depolarized. This research creates an innovative solid foundation for the diagnosis of skin cancer in the future.

1.

Introduction

Our skin, the largest organ of our body, is the first line of defense for preventing microorganisms, chemicals, and UV light from directly damaging vulnerable inner organs. Overexposure to those pathogens, toxins, or rays, does harm to our skin, for example, sunburn, burns, and acne. Skin cancer is the worst scenario for not only your skin but also your body due to uncontrollable growth of tumor and metastasis; however, it is rising significantly globally, caused by increased outdoor activities and longevity, changing in clothing styles, ozone depletion, and immunosuppression in some cases.1 Skin cancer includes melanoma and nonmelanoma skin cancer. Whereas melanoma skin cancer can be determined when suspicious moles appear, nonmelanoma signs and symptoms are unnoticeable in the early stages and take time to progress and be more evident, which delays proper treatment for the patient and lower survival rate. Accordingly, the early detection of nonmelanoma skin cancer is a must. On the other hand, for clinical evaluation of nonmelanoma, a biopsy is the gold standard. However, a biopsy is invasive, costly, and can result in the scar on the face or the neck.2 The diagnosis of nonmelanoma skin cancer has been of great interest to the search for new noninvasive techniques. Currently, the optical diagnostic techniques were researched and applied by different approaches,3 such as confocal microscopy,4,5 optical coherence tomography,6,7 and spectroscopy.8

Methods for specifying the true of skin pathologies noninvasively remain an unresolved question for the dermatology community. By utilizing the Mueller matrix decomposition method and Stokes polarimetry, we can extract the effective linear birefringence (LB), linear dichroism (LD), circular birefringence (CB), circular dichroism (CD), linear depolarization (L-Dep), and circular depolarization (C-Dep) properties of tissues or organs. The estimation of the LB of tissue provides an approach for noninvasive diagnosis of different obsessive diseases and thorough insight into the characteristics of the photoelasticity of human tissue.911 Moreover, CB measurements of human blood indicate diabetes reliably.12 CD analysis can classify different proteins,13,14 whereas LD measurements of human tissue can diagnose tumor.15 Additionally, valuable experience of the characteristics of tumor surface measurements can be obtained through analyzing linear depolarization parameters.16

Many studies have demonstrated that the Mueller matrix decomposition technique has potential for detailed inspection and analysis of biological samples. Lu and Chipman17 proposed Mueller matrix decomposition methods for determining its diattenuation, retardance, and depolarization. Ghosh et al.18 investigated the efficacy of a Mueller matrix decomposition methodology to extract the individual intrinsic polarimetry characteristics from a multiply scattering medium exhibiting simultaneous LB and optical activity. Wood et al.19 applied a Monte Carlo model for polarized light propagation in birefringent, optically active, multiply scattering media for accurately representing the propagation of polarized light in biological tissue. Du et al.20 examined the microstructure and optical properties of biological tissue samples by analyzing the backscattering Mueller matrix patterns. Martin et al.21 compared normal and irradiated pig skin samples using the Mueller matrix decomposition methods developed by Lu and Chipman.17 However, these above techniques are order dependent, so its applications are limited. Azzam22 proposed the differential matrix formalism for an anisotropic medium in parallelism with Jones’ matrix formalism. Ossikovski23,24 extended the differential matrix formalism for depolarization anisotropic media. Ortega-Quijano and Arce-Diego25,26 proposed the differential Mueller matrix decomposition in the backward direction and was successfully applied to Mueller matrices measured in reflection and backscattering. Liao and Lo27 proposed a hybrid model comprising differential and decomposition based Mueller matrices for extracting anisotropic parameters of turbid media regardless of the sequence. However, these differential Mueller matrix decomposition techniques described above were not able to extract all anisotropic parameters due to the complicated mathematical model. Pham and Lo2830 proposed a decoupled analytical technique based on forward Mueller matrix decomposition for extracting all effective LB, LD, CD, CB, L-Dep, and C-Dep parameters in a decoupled manner of turbid media by an advanced proposed analytical method. In this study, this proposed method to visualize skin pathologies using polarized light imaging is discussed. Based on the achievement in previous studies,2830 the validity of the technique is established by collecting the effective optical properties between the healthy tissues from 30 samples of 5 mice and skin cancer tissues from 72 samples of 12 mice. This technology will assist doctors as well as dermatologists in making a quick assessment of skin pathologies.

2.

Methodology

2.1.

Stokes–Mueller Matrix Decomposition Method for Extracting Optical Parameters

Based on previous studies, we applied the analytical technique of Pham and Lo2830 to extract nine effective parameters, including the LB orientation angle (α), the LB phase retardance (β), the CB optical rotation angle (γ), the LD orientation angle (θd), the linear dichroism (D), the circular dichroism (R), the degrees of linear depolarization (e1 and e2), the degree of circular depolarization (e3), and the depolarization index (Δ), of healthy and skin cancer samples.

For a biomedical sample, the output Stokes vector, Sc, has the form

Eq. (1)

Sc=[S0S1S2S3]c=MΔMlbMcbMldMcdS^c=(m11m12m13m14m21m22m23m24m31m32m33m34m41m42m43m44)(S^0S^1S^2S^3)c,
where MΔ, Mlb, Mcb, Mld, and Mcd are the Mueller matrices for the depolarization, lb, cb, ld, and cd properties of the sample, respectively, and S^c is the input Stokes vector. In the methodology adopted in this study, the sample is radiated by four input linear polarization states (i.e., S^0  deg=[1,1,0,0]T, S^45  deg=[1,0,1,0]T, S^90  deg=[1,1,0,0]T, and S^135  deg=[1,0,1,0]T) and two input circular polarization lights (i.e., right-handed S^RHC=[1,0,0,1]T and left-handed S^LHC=[1,0,0,1]T).

Noticeably, full details of the experimental procedure used to extract the various parameters are mentioned in Refs. 2829.30. To sum up, the LB orientation angle (α), phase retardance (β), optical rotation angle (γ), LD orientation angle (θd), linear dichroism (D), circular dichroism (R), linear depolarization (e1,e2), and circular depolarization (e3) can be extracted using Stokes–Mueller technique from Refs. 2829.30. Notably, this methodology does not require the alignment of the principal birefringence axes and diattenuation axes. Although only four different input polarization lights, namely three linear polarization lights (i.e., S^0  deg, S^45  deg, and S^90  deg) and one circular polarization lights (i.e., S^RHC), are enough for obtaining all elements of Mueller matrix, the extra two input polarization states (i.e., S^135  deg and S^LHC) further improve the experimental results. Moreover, the ability of the analytical model for extracting all the optical parameters of interest over the measurement ranges was verified using an analytical simulation and error analysis technique. Thus, the analytical model yielded accurate results even when the output Stokes parameters had errors in the range of ±0.005, or the samples had the minimum measurement of birefringence or dichroism.2830

2.2.

Experimental Setup

The polarized light system included a helium–neon laser (wavelength of 632.8 nm, power <5  mW), a quarter-wave plate, polarizers, and a Stokes polarimeter to characterize the LB, LD, CB, CD, L-Dep, and C-Dep properties of turbid media. In performing the experiments, the input light was provided by a frequency-stable He–Ne laser (HNLS008R, Thorlabs Co.) with a central wavelength of 633 nm. Also, a polarizer (GTH5M, Thorlabs Co.) and a quarter-wave plate (QWP0-63304-4-R10, CVI Co.) were used to produce four linear polarization lights (0 deg, 45 deg, 90 deg, and 135 deg) and two circular polarization lights (right-handed and left-handed). Finally, a neutral density filter (NDC-100-2, ONSET Co.) was used to ensure that each of the input polarization lights had the equal intensities. The output Stokes parameters were computed from the intensity measurements obtained using a commercial Stokes polarimeter (PAX5710, Thorlabs Co.) at a sampling rate of 33.33 samples per second. A minimum of 1024 data points was obtained for each sample. Of these data points, 100 points were chosen and used to calculate the mean value of each effective parameter. Figure 1 shows the installation of the system. The samples were placed between the polarizer and detector by being fixed to a side stand. It is noted that the error analysis of the proposed system was performed and described in detail in Ref. 29. The analytical model yields accurate results even when the output Stokes parameters have errors in the range 0.005 to +0.005 or the samples have very low values of birefringence or dichroism.29 Furthermore, the reliability of the proposed system was evaluated using different optical samples, namely a quarter-wave plate (QWP0-633-04-4-R10, CVI Co.); a half-wave plate (QWP0-633-04-2-R10, CVI Co.), a polarizer (GTH5M, Thorlabs Co.); a baked polarizer (LLC2-82-18S, OPTIMAX Co.); a polarization controller; a composite sample comprising a quarter-wave plate, a half-wave plate, and a polarizer; and a depolarizer (DEQ-1N in ONSET Co.).28,29

Fig. 1

Schematic illustration of a model of measurement.

JBO_23_12_125003_f001.png

3.

Sample Preparation

3.1.

Materials

7,12-dimethylbenz[a]anthracene (DMBA) (95%) and croton oil were purchased from Sigma–Aldrich Co. (Germany), meanwhile Hematoxylin and Eosin stain were bought from Sigma–Aldrich Co.. Ethanol, xylene, and acetic acid (CH3COOH99.5%) were purchased from Xilong, China.

3.2.

Experimental Animals

We performed the experiment on 17 healthy male Swiss albino mice (25 to 30 g) purchased from Institute of Vaccine and Medical Biology of Nha Trang city, IVAC (Vietnam). Mice were individually housed per cage and were acclimatized to a 12-h light–dark cycle for at least one week before each experiment. The animals had free access to food pellets (IVAC, Vietnam) and water ad libitum. One day before the treatment, the dorsal skin of mice was shaved for an 2  cm×2  cm area. All experimental protocols were conducted under the agreement of the scientific committee, specialty of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, University of Medicine and Pharmacy at the Ho Chi Minh City, Vietnam (Number 03-2016/QĐ-SĐHD).

3.3.

Two-Stage Chemical Carcinogenesis Protocol

The cutaneous tumors were initiated on 12 mice by a single application on the dorsal shaved skin 50  μL of a 0.2% DMBA solution prepared in acetone (equivalent to 100  μg DMBA per mouse). Two weeks later, 50  μL of a 2% croton oil solution prepared in acetone (equivalent to 1 mg croton oil per mouse) was topically applied two times weekly until the end of the experiment. At the 20th week, mice were euthanized by CO2 asphyxiation, and skin samples were then isolated and fixed in 10% formalin. Tissues were embedded in paraffin wax for further experiment.

3.4.

Optical Characterization

The samples were sectioned with microtome with the thickness of 5  μm and embedded on Quartz slides. The slides were then analyzed using the polarized light system mentioned above.

3.5.

Histopathological Analysis

Cancerous tissue samples were sectioned with microtome with the thickness of 5  μm and stained with Haematoxylin and Eosin (H&E) stain. Stained slides were observed under a light microscope for histopathological analysis.

4.

Results

4.1.

Histopathological Validation of Pathology

Figure 2 shows the histopathological results of nonmelanoma-induced mice. To be specific, there is the existence of abnormal squamous cells and the invasion of those cells from the epidermis to the dermis (yellow arrow). In Figs. 2(a), 2(c), and 2(e), keratin accumulates and appears as keratin pearls (red arrow). Furthermore, the thickness of the epidermis increases massively, and no borderline between epidermis and dermis has shown. These characteristics validate our induction of nonmelanoma skin cancer (squamous cell carcinoma) on mice.

Fig. 2

Histopathological results of nonmelanoma-induced mice. (a) and (b) Sample 1, (c) and (d) sample 15, e and (f) sample 9, and (g) and (h) sample 10.

JBO_23_12_125003_f002.png

4.2.

Optical Properties of Nonmelanoma Tumors

The results of nine effective properties of nonmelanoma skin cancer in mice are shown in Fig. 3. Most of the optical characteristics extracted from 12 subjects show similarity, except orientation angle of LD (θS) and optical rotation of CB (γS). Specifically, in Fig. 3(a), orientation angles of LB (αS) are all close to 82 deg, whereas phase retardations of LB (βS) are around 0.9 deg. Also, in Figs. 3(b) and 3(d), measured linear dichroisms (DS) are nearly 0.06, whereas measured circular dichroisms (RS) are almost 0.006. Figure 3(e) shows that all of the linear depolarization (e1S and e2S) and circular depolarization are close to 0.99, 0.96, and 1, respectively. However, depolarization indices calculated from (e1S, e2S, and e3S) show slight variation ranging from 0.20 to 0.28. Noticeably, in Figs. 3(b) and 3(c), most of the subjects showed properties of the orientation angle of LD (θS) at almost 20 deg, and the optical rotation angle of CB (γS) varied among the mice ranging from 0.025 deg to 0.08 deg.

Fig. 3

Effective properties of (a) orientation angles of LB (αS) and phase retardations of LB (βS); (b) orientation angle of LD (θS) and linear dichroism (DS); (c) optical rotation of CB (γS); (d) circular dichroism (RS); (e) depolarization (e1S, e2S, and e3S); and (f) depolarization index of squamous cell skin cancer in mice.

JBO_23_12_125003_f003.png

Table 1 shows the values of optical properties for the control samples and nonmelanoma skin cancer. The values were the average, and the standard deviation from 6 measurement points on each of 72 samples extracted from 12 cancer subjects and each of 30 samples extracted from 5 normal subjects are calculated as shown in Table 1.

Table 1

Optical properties of normal and squamous cell skin cancer in mice.

αβγθdDRe1e2e3Δ
Squamous cell mouse skin cancerMean82.560.900.0518.690.060.0060.990.9610.015
SDa0.430.030.020.630.0030.00040.0030.00500.02
Control mouseMean145.71.260.8860.240.130.0140.990.9810.011
SDa29.00.040.535.870.0060.130.0090.0100.03

aSD: Standard deviation

The detailed results of major effective properties including phase retardance and orientation angle of LB, optical rotation angle of CB, LD, and depolarization index comparing healthy tissue and squamous cell skin cancer in mice are shown in Figs. 4Fig. 56. Birefringence, LD, and depolarization index are the representatives of three fundamental polarization properties of the medium: retardance, diattenuation, and depolarization, respectively.

Fig. 4

LB properties of healthy and squamous cell skin cancer in mice (a) orientation angles of LB (αS) and (b) phase retardations of LB (βS).

JBO_23_12_125003_f004.png

Fig. 5

CB properties of healthy and squamous cell skin cancer in mice.

JBO_23_12_125003_f005.png

Fig. 6

LD of squamous cell skin cancer in mice.

JBO_23_12_125003_f006.png

Figure 4 shows that the values of measured orientation angle and phase retardance of LB in mice with squamous cell skin cancer are significantly lower than in normal mice, where the figures of α and β among normal mice are around 145 deg and 1.26 deg; the ones in cancer mice are 82.6  deg and 0.9 deg, respectively. As shown in Fig. 5, the tendency of CB is similar with that of LB. The optical rotation angles of CB, γ, of normal samples fluctuate around 0.88 deg while that of cancerous samples is close to 0.05 deg. Remarkably, there is a normal skin sample with high γ and large standard deviation. The results of LD are in the same tendency with birefringence as shown in Fig. 6. The D of control samples is slightly below 0.13 deg, whereas those of cancer mice fluctuate around 0.06 deg. The trend for the depolarization index of healthy and cancer mice is opposite as shown in Fig. 7. The values in 12 samples of cancer mice fluctuate around 0.015, whereas normal skin tissues have more depolarization (around 0.011). Wide error bars that appear in several subjects indicate the measured values are relatively dispersed. In general, the five parameters analyzed have provided a significant distinction between squamous cell skin cancer and healthy skin in mice.

Fig. 7

Depolarization index of healthy and squamous cell skin cancer in mice.

JBO_23_12_125003_f007.png

5.

Discussion

In this study, we utilize the Stokes–Mueller matrix decomposition method to interpret the Mueller matrix into effective LB, LD, CD, CB, L-Dep, and C-Dep parameters of nonmelanoma-induced skin and normal skin in mice. The properties extracted are used to differentiate nonmelanoma cancer from the healthy skin in an effort to validate our effective approach for early detection of disease.

Retardance refers to birefringence, which are the properties of anisotropic materials. In the tissue, anisotropy mainly originates from structures, such as collagen fibrils and elastin fibers. Therefore, the morphology and structure of collagen and elastin in the extracellular matrix determine the magnitude of retardance and birefringence properties. When cancerous tumors develop in the body, numerous changes in collagen components occur, for example, deposition of collagen fibrils resulting from an increased number of fibroblasts, the production of proteolytic enzymes for cancer invasion.31 This supports our findings that the growth of nonmelanoma skin cancer in mice lowers the values of LB and CB considerably as shown in Fig. 4. It means that the anisotropy of collagen decreases, caused by the alteration of the collagen fibril structure. On the other hand, diattenuation, the phenomenon that the transmittance of tissue depending on the state of polarization of incident light, characterized through measured dichroism is also dependent on anisotropy. In other words, anisotropy causing retardance also results in diattenuation.32 Analogously, as the decreasing anisotropic properties of nonmelanoma skin cancer and the reasons for it are mentioned above, it is feasible that the results of measured dichroism of cancer samples are less than ones of normal samples. In addition to distinctive properties of nonmelanoma skin cancer in retardance and diattenuation, the reduction of depolarization is considerable. This can result from high cellular density, where cell nuclei are connected with the scattering of light.33 Additionally, as the growth of abnormal cells of each subject and the cell density of each site may not be the same, it is understandable that there is a variation in depolarization and its standard deviation in cancer subjects. However, it can be observed that values of depolarization of cancerous tissue may overlap ones of normal tissue and the difference between average values seems to be minor, which may be because of our laser wavelength. Wang et al. found that the higher wavelength light results in the greater overlapping, but less variation of depolarization index, which suggests that the interaction of nonmelanoma with other wavelengths should be investigated.16 Basically, this study indicates a comprehensive collection of effective parameters of normal and nonmelanoma murine skin, which can be used as a reference for further research in the future.

6.

Conclusion

The research has revealed the polarization characteristics of nonmelanoma skin cancer in mice using the decoupled analytical technique based on Stokes polarimetry and Mueller matrix decomposition method. Thanks to the powerful technique, full sets of effective optical parameters consisting of LB, LD, CB, CD, L-Dep, and C-Dep were extracted for nonmelanoma differentiation. All obtained results came out as the expectation that, based on a consistent experiment, was done on our previous studies that have confirmed the reliability of the method. Although the method remains a number of limitations in sample preparation, sensitivity, and irrelevant optical alignment for clinical study, the experimental results show an excellent distinctiveness between nonmelanoma cancerous skin cancer and healthy skin in the aspects of retardance and diattenuation. Depolarization properties of nonmelanoma murine skin, on the other hand, are distinguishable but not significant. To sum up, our study provides basic evidence of a potential and noninvasive approach to detect nonmelanoma skin cancer at early stages.

Disclosures

The authors declare that they have no relevant financial interests in the paper and no other potential conflicts of interest.

Acknowledgments

The authors gratefully acknowledge the financial support provided to this study by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant No. 103.03-2016.86.

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Biography

Thi-Thu-Hien Pham received her BS degree in mechatronics from Ho Chi Minh City University of Technology-Vietnam National University, Ho Chi Minh City, Vietnam, in 2003 and her MS and PhD degrees in mechanical engineering from Southern Taiwan University of Technology and National Cheng Kung University, Tainan, Taiwan, in 2007 and 2012, respectively. Currently, she is a head of Biomedical Photonics Lab and a lecturer at Department of Biomedical Engineering, International University-Vietnam National University HCMC, Ho Chi Minh City, Vietnam. Her research interests are in the areas of polarized light-tissue studies, polarimetry, optical techniques in precision measurement to determine the optical properties of biosamples (glucose, collagen, and tumor) or cancer detection (skin, liver, and breast), noninvasive glucose measurement, cell/tissue characterization, laser/LED applications, and automatic control systems.

Biographies of the other authors are not available.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Dan Linh Le, Trinh Ngoc Huynh, Dat Tan Nguyen, Toi Van Vo, and Thi-Thu-Hien Pham "Characterization of healthy and nonmelanoma-induced mouse utilizing the Stokes–Mueller decomposition," Journal of Biomedical Optics 23(12), 125003 (15 December 2018). https://doi.org/10.1117/1.JBO.23.12.125003
Received: 13 September 2018; Accepted: 27 November 2018; Published: 15 December 2018
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Cited by 14 scholarly publications.
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KEYWORDS
Skin cancer

Skin

Tissues

Dichroic materials

Tissue optics

Cancer

Polarization

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