## 1.

## Introduction

Since light propagation in materials is highly related to their optical properties, knowledge about the biotissue’s optical parameters is essential for optical diagnostics and optical treatments. Among the parameters, the complex refractive index (CRI) is an important one, which is defined as $n={n}_{\mathrm{r}}(1+i\kappa )$^{1}; in some literatures it is defined as $n={n}_{\mathrm{r}}+ik$,^{2} but here we chose the former form. Because the components in biotissue are complicated, the real part ${n}_{\mathrm{r}}$ is always known as the effective or average refractive index (RI). The extinction coefficient $\kappa $ satisfies ${n}_{\mathrm{r}}\kappa ={\mu}_{\mathrm{t}}\lambda /4\pi $. The total interaction coefficient ${\mu}_{\mathrm{t}}$ means the energy loss per unit at a certain direction caused by absorption and scattering, and ${\mu}_{\mathrm{t}}={\mu}_{\mathrm{a}}+{\mu}_{\mathrm{s}}$.^{3} Thus, $\kappa $ can characterize the optical transparency of biotissue. Over the last decades, researchers have developed various methods to determine the ${n}_{\mathrm{r}}$ of biotissue, such as the optical fiber cladding method,^{4} the minimum deviation angle method,^{5}^{,}^{6} optical coherent tomography,^{7} and the total internal reflection method.^{8}^{–}^{12} The inverse adding-double method or the inverse Monte Carlo simulation method are common approaches to determine ${\mu}_{\mathrm{a}}$ and ${\mu}_{\mathrm{s}}$.^{3}^{,}^{12}^{–}^{14} However, simultaneously determining ${n}_{\mathrm{r}}$ and $\kappa $ remains a challenge.

As it is known that the optical properties are always wavelength-dependent; investigation of CRI over a wide spectral region is necessary. The dispersion of CRI (CRID), which contains the information of both the refractive index dispersion (RID) and the wavelength-dependent $\kappa $, is worth investigating. For a material with normal dispersion, its RID can be described by a dispersion equation with several coefficients. In the literature, the coefficients of biotissue are often deduced from quite few ${n}_{\mathrm{r}}$ values at discrete wavelengths; for instance, Ding et al.^{2} and Cheng et al.^{15} measured the ${n}_{\mathrm{r}}$ at eight and four wavelengths, respectively. Discrete ${n}_{\mathrm{r}}$ measurement may miss some important information around the absorption peak, such as in our early study of bacteriorhodopsin film.^{8} In order to determine the coefficients more accurately, continuous ${n}_{\mathrm{r}}$ measurement is necessary. To our knowledge, however, no research has been reported on the continuous CRID of biotissue with scattering in a continuous spectral region.

In this study, continuous CRID measurement based on internal reflection (CCRIDM-IR) is introduced. The CCRIDM-IR utilizes a previously proposed lab-made apparatus^{16} to detect the angle-dependent internal reflection spectra at the prism–sample interface. Combined with the reflection spectra of air, the angle-dependent internal reflectance spectra of the sample can be detected, from which the continuous CRID can be calculated based on the Fresnel formula. The continuous CRID of methyl red (MR) solution and several kinds of biotissue were measured in the spectral region from 400 to 750 nm. Dispersion coefficients of the biotissues based on dispersion equations were also obtained with perfect fittings. In addition, comparisons were made between our results and the ones reported in the previous literatures.

## 2.

## Materials and Method

## 2.1.

### Materials

In total, 13 different samples were investigated in this study: MR cyclohexanone solution with weight fraction of 0.5%, oxygenated hemoglobin (${\mathrm{HbO}}_{2}$) solution ($320\text{\hspace{0.17em}\hspace{0.17em}}\mathrm{g}/\mathrm{l}$), deoxygenated hemoglobin (Hb) solution ($320\text{\hspace{0.17em}\hspace{0.17em}}\mathrm{g}/\mathrm{l}$), chicken liver, porcine liver, porcine muscle, porcine adipose, bovine muscle, mutton muscle, egg yolk, egg white, animal oil, and biotissue fluid.

MR is a kind of biological stain and has strong absorption in the visual spectra region. Its solution has relatively stable optical parameters. MR powder was dissolved in cyclohexanone liquid to obtain MR solution. Hemoglobin is the main component of blood cells and also an absorptive material. The preparation procedures of Hb and ${\mathrm{HbO}}_{2}$ solutions were same as that described in Ref. 17. In simple terms, the lyophilized powder of bovine hemoglobin (Sigma-Aldrich Co. Ltd.) was dissolved in phosphate-buffered saline to maintain pH at 7.4, and then $10\text{\hspace{0.17em}\hspace{0.17em}}\mathrm{g}/\mathrm{l}$ sodium dithionite and $15\text{\hspace{0.17em}\hspace{0.17em}}\mathrm{g}/\mathrm{l}$ sodium bicarbonate solutions were added to obtain Hb and ${\mathrm{HbO}}_{2}$ solutions, respectively. The dissolution process was performed three times to obtain three solution samples.

During transportation, the fresh biotissues were preserved at about 0°C. Before measurement, each biotissue was cut into three pieces, and each piece was about $30\times 40\text{\hspace{0.17em}\hspace{0.17em}}{\mathrm{mm}}^{2}$ with a thickness of 20 mm. Air gaps at the interface should be avoided when attaching the biotissue sample to the prism. Animal oil was derived from porcine adipose by heating, and biotissue fluid was derived from the bovine muscle by pressing. The amount of oil and fluid were enough for three measurements. Three egg yolk samples and three egg white samples were from three different eggs. The liquid samples, such as animal oil, biotissue fluid, egg yolk, and egg white, were poured into the cell attached to the prism. All measurements were performed until the sample reached room temperature (about 20°C). During the measurements, samples were sealed with preservative film. All experiments on animals followed the ethical principles and standards.

## 2.2.

### Method

A top-down view of the lab-made apparatus is shown in Fig. 1; it is similar to the one reported in Ref. 16. After passing through a fiber, a beam expander, and an aperture (diameter: 1.5 mm), the light beam from a xenon lamp is parallelized and narrowed. Then it propagates along the direction of the radius of a semicylindrical prism and illuminates the sample attached to the prism. A fiber spectrometer (HR4000, Ocean Optics) is used to detect the reflected beam expanded by a concave lens ($f=-50\text{\hspace{0.17em}\hspace{0.17em}}\mathrm{mm}$).

Four arms labeled ${L}_{1}$, ${L}_{2}$, ${L}_{3}$, and ${L}_{4}$ are connected by intersection points ${J}_{1}$, ${J}_{2}$, ${J}_{3}$, and ${J}_{4}$, where ${J}_{3}$ and ${J}_{4}$ are symmetrical about the line ${J}_{1}{J}_{2}$. ${J}_{1}$ fixed on a slider that can move along the lead screw, $S$, driven by a stepper motor. ${J}_{2}$ coincides with the semicircular arc center of the prism, and ${J}_{1}{J}_{2}$ is perpendicular to the prism–sample interface. Because of the symmetry of the apparatus, the reflection spectra at every fixed incident angle $\theta $ can be detected. ${J}_{1}$, ${J}_{2}$, and ${J}_{3}$ form a triangle. $s$, $a$, and $b$ are the lengths of ${J}_{1}{J}_{2}$, ${J}_{1}{J}_{3}$, and ${J}_{2}{J}_{3}$, respectively. $\theta $ can be calculated from

Thus, different $\theta $ can be obtained by changing $s$. Calibrated by the ${n}_{\mathrm{r}}$ value of water obtained from Ref. 5, any $s$ can be calculated by $s={s}_{\mathrm{r}}+{s}_{\mathrm{w}}$, where ${s}_{\mathrm{w}}$ is the reference length at the critical angle of water and ${s}_{\mathrm{r}}$ is the relative length movement of the slider. To determine the internal reflectance spectra at the prism–sample interface, reflection spectra measurement is performed twice in the same angle range. One is for the sample, and the other is for air. Each reflection spectra measurement takes about 5 min. Then the internal reflectance at a fixed $\theta $ and a fixed wavelength can be calculated from ${R}_{\theta ,\lambda}={R}_{\text{sample}}/{R}_{\mathrm{air}}$, where ${R}_{\text{sample}}$ and ${R}_{\mathrm{air}}$ are the reflection intensities of the sample and the air, respectively. A similar way to determine the reflectance can be found in Ref. 10, and the difference is that we can obtain the reflectance curve of every wavelength in the continuous spectral region.Fitting the reflectance curve based on the Fresnel formula^{1} is a useful approach to determine the CRI. For the transverse electromagnetic (TE) wave, the reflectance ${R}_{\mathrm{TE}}$ at the prism–sample interface is given by

## Eq. (2)

$${R}_{\mathrm{TE}}={\left[\frac{{n}_{\mathrm{p}}\text{\hspace{0.17em}}\mathrm{cos}\text{\hspace{0.17em}}\theta -({u}_{2}+i{v}_{2})}{{n}_{\mathrm{p}}\text{\hspace{0.17em}}\mathrm{cos}\text{\hspace{0.17em}}\theta +({u}_{2}+i{v}_{2})}\right]}^{2}.$$## Eq. (3)

$${R}_{\mathrm{TM}}={\left\{\frac{{[{n}_{\mathrm{r}}^{2}(1-{\kappa}^{2})\mathrm{cos}\text{\hspace{0.17em}}\theta -{n}_{\mathrm{p}}{u}_{2}]}^{2}+{(2{n}_{\mathrm{r}}^{2}\kappa \text{\hspace{0.17em}}\mathrm{cos}\text{\hspace{0.17em}}\theta -{n}_{\mathrm{p}}{v}_{2})}^{2}}{{[{n}_{\mathrm{r}}^{2}(1-{\kappa}^{2})\mathrm{cos}\text{\hspace{0.17em}}\theta +{n}_{\mathrm{p}}{u}_{2}]}^{2}+{(2{n}_{\mathrm{r}}^{2}\kappa \text{\hspace{0.17em}}\mathrm{cos}\text{\hspace{0.17em}}\theta +{n}_{\mathrm{p}}{v}_{2})}^{2}}\right\}}^{2},$$## Eq. (4)

$$2{u}_{2}^{2}={n}_{\mathrm{r}}^{2}(1-{\kappa}^{2})-{n}_{\mathrm{p}}^{2}\text{\hspace{0.17em}}{\mathrm{sin}}^{2}\text{\hspace{0.17em}}\theta +\sqrt{{[{n}_{\mathrm{r}}^{2}(1-{\kappa}^{2})-{n}_{\mathrm{p}}^{2}\text{\hspace{0.17em}}{\mathrm{sin}}^{2}\text{\hspace{0.17em}}\theta ]}^{2}+4{n}_{\mathrm{r}}^{4}{\kappa}^{2}},$$## Eq. (5)

$$2{v}_{2}^{2}=-[{n}_{\mathrm{r}}^{2}(1-{\kappa}^{2})-{n}_{\mathrm{p}}^{2}\text{\hspace{0.17em}}{\mathrm{sin}}^{2}\text{\hspace{0.17em}}\theta ]+\sqrt{{[{n}_{\mathrm{r}}^{2}(1-{\kappa}^{2})-{n}_{\mathrm{p}}^{2}\text{\hspace{0.17em}}{\mathrm{sin}}^{2}\text{\hspace{0.17em}}\theta ]}^{2}+4{n}_{\mathrm{r}}^{4}{\kappa}^{2}}.$$A nonlinear fitting program based on the Nelder–Mead simplex method^{18} was utilized to solve the ${n}_{\mathrm{r}}$ and $\kappa $ simultaneously. The consistency between the measured curve and fitting curve is described by ${E}^{2}$, defined as

## Eq. (6)

$${E}^{2}=1-\sum _{i=1}^{N}{({R}_{\mathrm{m},i}-{R}_{i})}^{2}/\sum _{i=1}^{N}{({R}_{\mathrm{m},i}-\overline{R})}^{2},$$In order to prove the feasibility of the CCRIDM-IR, we made a comparison between the ${n}_{\mathrm{r}}\kappa $ values of the MR solution determined by CCRIDM-IR and the values obtained from absorption spectra measurement. For MR solution, ${\mu}_{\mathrm{s}}\approx 0$, so ${n}_{\mathrm{r}}\kappa $ can be easily deduced from its absorption coefficient by ${n}_{\mathrm{r}}\kappa ={\mu}_{\mathrm{a}}\lambda /4\pi $.

## 3.

## Result and Discussion

## 3.1.

### Results of Materials with Anomalous Dispersion

Taken as examples, the reflectance curves of MR solution at the wavelengths of 432.0, 532.1, 632.9, and 732.2 nm are shown in Fig. 2(a), and their fitting coefficients ${E}^{2}$ are 0.996, 0.999, 0.999, and 0.996, respectively. For all measured wavelengths, ${E}^{2}$ values are better than 0.980, indicating that the measured reflectance curves are well fitted. In Fig. 2(b), the CRID of MR solution is demonstrated. Results show that the anomalous dispersion of ${n}_{\mathrm{r}}$ is well determined, and the values of ${n}_{\mathrm{r}}\kappa $ match well with the values calculated from absorption spectra measurement. Hence, the feasibility of the CCRIDM-IR method for continuous CRID measurement is proved.

The next group of CRID results is of the hemoglobin solutions. Different from the MR solution, the hemoglobin has more complicated absorption bands and RIDs, as shown in Fig. 3. The absorption bands and the dispersion shape are different when the hemoglobin is oxygenated or deoxygenated. First, both the Hb and ${\mathrm{HbO}}_{2}$ have a strong absorption peak in the 400- to 450-nm range, while the peak of Hb is at the longer wavelength. Second, there are two small absorption peaks around 550 nm for ${\mathrm{HbO}}_{2}$, while only one peak can be observed for Hb. These results are the same as those in Ref. 19. Zhernovaya et al.^{17} have investigated the RI of 320 g/l hemoglobin solution at several discrete wavelengths, and the values are also listed in Fig. 3. Good agreements can be observed. However, it can be found that the discrete RI values cannot provide enough information about the complicated RID of hemoglobin solution. Hence, continuous CRID measurement is necessary.

## 3.2.

### Results of Biotissues with Normal Dispersion

In this section, several biotissues with normal dispersion were investigated. Taken as examples, reflectance curves of chicken liver at the same four wavelengths are demonstrated in Fig. 4(a). Their ${E}^{2}$ are 0.990, 0.999, 0.992, and 0.998, respectively, and for all measured biotissues, the ${E}^{2}$ is better than 0.980. Unlike MR solution and hemoglobin solution samples, the ${n}_{\mathrm{r}}$ of chicken liver continuously decreases with the increase of wavelength, and so do the other biotissues, as shown in Figs. 4(b) and 5. This downward trend of ${n}_{\mathrm{r}}$ has been observed by Bolin et al.^{4} To some extent, we can treat this kind of RID as normal dispersion.

From the reflectance curves, the extinction coefficients of biotissue can also be determined. Taken as examples, the extinction coefficient spectra of chicken liver and bovine muscle are shown in Fig. 4(b). Unlike the MR solution and hemoglobin solution samples, no obvious absorption band can be found in the measured spectral range, and the values of $\kappa $ do not change much with wavelengths. For simplicity, we used the average value of $\kappa $ as representative, detailed in Table 1.

## Table 1

The coefficients of the Cauchy equation and the average extinction coefficients of biotissues.

Biotissues | A | B | C | E2 | Average κ |
---|---|---|---|---|---|

Porcine adipose | 1.45978 | $2.83095\times {10}^{3}$ | $1.53151\times {10}^{8}$ | 0.996 | $0.0035\pm 0.0008$ |

Animal oil | 1.45506 | $4.25886\times {10}^{3}$ | $6.19694\times {10}^{7}$ | 0.999 | $0.0005\pm 0.0001$ |

Egg yolk | 1.39742 | $3.66689\times {10}^{3}$ | $-2.10620\times {10}^{6}$ | 0.997 | $0.0004\pm 0.0001$ |

Porcine liver | 1.37318 | $4.04931\times {10}^{3}$ | $-4.16708\times {10}^{7}$ | 0.994 | $0.0010\pm 0.0003$ |

Chicken liver | 1.36911 | $3.67937\times {10}^{3}$ | $-1.01200\times {10}^{7}$ | 0.995 | $0.0012\pm 0.0003$ |

Porcine muscle | 1.37307 | $2.84565\times {10}^{2}$ | $2.70401\times {10}^{8}$ | 0.974 | $0.0038\pm 0.0008$ |

Bovine muscle | 1.36827 | $1.32813\times {10}^{3}$ | $1.00089\times {10}^{8}$ | 0.970 | $0.0035\pm 0.0008$ |

Mutton muscle | 1.35922 | $3.16928\times {10}^{3}$ | $2.41585\times {10}^{7}$ | 0.991 | $0.0047\pm 0.0008$ |

Biotissue fluid | 1.34233 | $4.13473\times {10}^{3}$ | $-8.48026\times {10}^{7}$ | 0.998 | $0.0001\pm 0.00003$ |

Egg white | 1.33637 | $3.97327\times {10}^{3}$ | $-7.73729\times {10}^{7}$ | 0.998 | $0.0001\pm 0.00003$ |

## 3.3.

### Dispersion Coefficients of Biotissues

Investigations of the appropriate dispersion equation to describe the RID of biotissues have been made by several researchers.^{2}^{,}^{15} Here, we selected

the Cauchy equation,

the Cornu equation, and the Conrady equation, just as Ding et al. did in Ref. 3. In all the three equations, $\lambda $ is the wavelength in nanometers. Based on the same nonlinear fitting program, the dispersion coefficients $A$, $B$, and $C$ were calculated. Examples of Cauchy equation fitted RID curves of the chicken liver and bovine muscle are demonstrated in Fig. 4(b). The detailed fitted dispersion coefficients and fitting coefficients of all the measured biotissues are listed in Tables 1Table 2–3, respectively. The fitting coefficients are better than 0.970. We also found that for different dispersion equations, the values of the fitting coefficients are close. Hence, all the three chosen dispersion equations are appropriate for the biotissues’ RID.## Table 2

The coefficients of the Cornu equation.

Biotissues | A | B | C | E2 |
---|---|---|---|---|

Porcine adipose | 1.45619 | 4.71521 | 228.085 | 0.996 |

Animal oil | 1.45017 | 6.97496 | 195.186 | 0.999 |

Egg yolk | 1.39323 | 6.13756 | 173.762 | 0.997 |

Porcine liver | 1.36843 | 6.99616 | 154.748 | 0.994 |

Chicken liver | 1.36445 | 6.52406 | 160.757 | 0.995 |

Porcine muscle | 1.37112 | 1.45705 | 301.464 | 0.977 |

Bovine muscle | 1.36648 | 2.25818 | 239.963 | 0.971 |

Mutton muscle | 1.35370 | 6.67278 | 143.095 | 0.991 |

Biotissue fluid | 1.35177 | 6.36134 | 170.401 | 0.998 |

Egg white | 1.33869 | 6.35775 | 160.249 | 0.998 |

## Table 3

The coefficients of the Conrady equation.

Biotissues | A | B | C | E2 |
---|---|---|---|---|

Porcine adipose | 1.45640 | 5.54824 | $1.69195\times {10}^{7}$ | 0.996 |

Animal oil | 1.44914 | 9.21166 | $1.53730\times {10}^{7}$ | 0.999 |

Egg yolk | 1.39211 | 8.17248 | $9.99411\times {10}^{6}$ | 0.997 |

Porcine liver | 1.36703 | 9.29818 | $8.55509\times {10}^{6}$ | 0.994 |

Chicken liver | 1.36368 | 8.28945 | $9.46374\times {10}^{6}$ | 0.995 |

Porcine muscle | 1.37381 | $-0.6151$ | $1.67204\times {10}^{7}$ | 0.974 |

Bovine muscle | 1.36671 | 2.54915 | $9.46621\times {10}^{6}$ | 0.970 |

Mutton muscle | 1.35458 | 7.07144 | $9.94188\times {10}^{6}$ | 0.992 |

Biotissue fluid | 1.35051 | 8.53216 | $9.75361\times {10}^{6}$ | 0.998 |

Egg white | 1.33583 | 9.71656 | $6.19735\times {10}^{6}$ | 0.998 |

## 3.4.

### Discussion

Results of the same kind of materials show good agreement with each other. Thus, one of the RID curves was chosen as a representative. Since the ${n}_{\mathrm{r}}$ values of biotissue are often available at several wavelengths in references, comparisons are only made at 632.8 nm to prove the validity of the results, detailed in Table 4, from which we find good agreement between our results and the references.

## Table 4

RI of biotissues at 632.8 nm in the current study and in the literature.

Biotissues | Measured | Reference 4 | Reference 9 | Reference 11 | Reference 15 |
---|---|---|---|---|---|

Porcine adipose | 1.467 | — | 1.4699 | 1.468 | — |

Chicken liver | 1.376 | 1.380 | 1.3952 | — | – |

Porcine muscle | 1.376 | – | — | 1.367 | 1.379 |

Results from the continuous CRID measurement of the MR solution also prove that the CCRIDM-IR method can accurately determine the extinction coefficients. For muscle, based on the ${\mu}_{\mathrm{a}}$ and ${\mu}_{\mathrm{s}}$ values from Ref. 20, ${\mu}_{\mathrm{t}}$ is calculated as about 90.37, 84.25, and $74.08\text{\hspace{0.17em}\hspace{0.17em}}{\mathrm{cm}}^{-1}$ at wavelengths of 500, 600, and 700 nm, respectively. At the same wavelengths, the ${\mu}_{\mathrm{t}}$ of bovine muscle in this study is calculated as about 120.9, 100.6, and $86.1\text{\hspace{0.17em}\hspace{0.17em}}{\mathrm{cm}}^{-1}$, respectively. The differences of biotissue source and measuring method may be responsible for the mismatches. Hemoglobin is a component that can affect the absorption spectra of muscle. However, in muscle, scattering is much stranger than absorption (e.g., ${\mu}_{\mathrm{a}}$: $1.17\text{\hspace{0.17em}\hspace{0.17em}}{\mathrm{cm}}^{-1}$ and ${\mu}_{\mathrm{s}}$: $89.2\text{\hspace{0.17em}\hspace{0.17em}}{\mathrm{cm}}^{-1}$ at 500 nm as provided in Ref. 20). Hence, the scattering dominates the trend of the $\kappa $ curve, and this is also the reason why the measured $\kappa $ did not change much with different wavelengths.

Based on the results from both Fig. 5 and Table 1, we can draw the following conclusions. Porcine adipose and animal oil have similar RID values, while the $\kappa $ of animal oil is much smaller. The extraction process of animal oil can reduce the RI mismatches. The ${n}_{\mathrm{r}}$ differences between liver samples and muscle samples are not obvious, while the $\kappa $ of liver samples is smaller. Even though egg yolk and egg white are from the same egg, the ${n}_{\mathrm{r}}$ of egg yolk is much larger. The high ${n}_{\mathrm{r}}$ reveals that egg yolk has a high concentration of nutrients. The ${n}_{\mathrm{r}}$ and $\kappa $ of biotissue fluid are smaller than those of bovine muscle. We also find that among the muscle samples, mutton muscle has the largest $\kappa $ and bovine muscle has the smallest values. The theoretical explanation of this phenomenon is being investigated.

The downward trend in ${n}_{\mathrm{r}}$ of biotissue samples has been observed by Bolin et al.^{4} A similar phenomenon can also be found in Ref. 14. To obtain the continuous RID of biotissue, fitting the dispersion equation is a common method. However, using the same nonlinear fitting program to fit the Cauchy equation with the discrete values provided in Ref. 14, we found that the fitting coefficient is only about 0.9. Therefore, the accuracy of the fitting cannot be guaranteed, and whether the Cauchy equation is suitable to describe the RID of biotissue also needs to be verified. However, all these questions have been answered in the current study (Tables 1–3).

## 3.5.

### Error Analysis

Good agreement between the results in our measurement and references indicates that the CCRIDM-IR is a suitable method for continuous CRID research. The lab-made apparatus provides a tool to measure the angle-dependent internal reflectance spectra of the scattering material. This advantage ensures the CCRIDM-IR method efficiently measures the continuous CRID of biotissue. The error of ${n}_{\mathrm{r}}$ mainly originates from the calculated incident angle $\theta $. The lengths of $a$ and $b$ are designed to be 160 and 90 mm. ${J}_{2}$ should coincide with the semicircular arc center of the prism, and ${J}_{1}{J}_{2}$ is supposed to be perpendicular to the sample–prism interface. Any deviation will cause the error of $\theta $, and the calculation is complex. In Ref. 16, we have measured the RID of K9 glass using the same apparatus, and the results show that the ${n}_{\mathrm{r}}$ discrepancy is less than 0.0008. Thus, we estimate that the error of ${n}_{\mathrm{r}}$ in this study is less than 0.001. Because the wavelength interval is only about 0.259 nm, the difference of $\kappa $ between several adjacent wavelengths should theoretically be very small. So the shift of $\kappa $ ($\mathrm{\Delta}\kappa $) can represent the uncertainty for each continuous CRID measurement. The $\mathrm{\Delta}\kappa $ in this study is $\pm 0.0003$ for liver samples, $\pm 0.0008$ for porcine adipose, $\pm 0.0008$ for muscle samples, $\pm 0.0001$ for animal oil and egg yolk, and $\pm 0.00003$ for biotissue liquid and egg white, respectively. For different measurement, the offset of the $\kappa $ curve is much less than $\mathrm{\Delta}\kappa $.

## 4.

## Conclusion

It has been a challenge to measure CRID over a continuous spectral region. In this study, CCRIDM-IR is proposed as an approach to study the continuous CRID of biotissues. The feasibility is verified experimentally by our measurements. Continuous CRID values in the spectral region the 400 to 750 nm provide adequate information on the RID and extinction coefficient spectra. To our knowledge, this is the first time that continuous CRID of biotissue with scattering is measured. Improvements can be made by changing the light source, spectrometer, and prism for different application fields.

## Acknowledgments

The authors thank the Chinese National Key Basic Research Special Fund (Grant No. 2011CB922003), the Natural Science Foundation of China (Grant Nos. 61475078 and 61405097), the Science and Technology Program of Tianjin (Grant Nos. 15JCQNJC02300 and 15JCQNJC02600), and the International Science and Technology Cooperation Program of China (Grant No. 2013DFA51430).

## References

## Biography

**Zhichao Deng** is a PhD student in the Nankai University of Tianjin, China. He graduated in the School of Physics from the same university in 2011. Now, he is mainly engaged in research on biomedical photonics. He has about five years of experience in the study of tissue refractive index.

**Jin Wang** received her master’s degree in biomedical engineering in 2007 and then joined the School of Physics, Nankai University, China. She received her PhD in optics from Nankai University, China, in 2013. Her research interests include optical clearing, refractive index measurement of biotissue, and optical coherence tomography.

**Qing Ye** received his PhD in optics from Nankai University, China, in 2008 and then joined the School of Physics, Nankai University. Since 2010, he has been an associate professor of optics at the Nankai University. His specialization includes optical coherence tomography, optical clearing, and optical properties measurement of biotissue.

**Tengqian Sun** completed his bachelor’s degree in the School of Physics from Nankai University, China, in June 2011. Currently, he is studying for a doctor’s degree in the School of Physics from Nankai University. His PhD studies cover the refractive index microimaging of biomedical, waveguides, and nonlinear materials. He has four years of experience in optical imaging.

**Wenyuan Zhou** received his master’s degree and doctoral degree in 1996 and 2002, respectively. From 2003 to 2012, he worked as an associate professor in the Nankai University. Since 2012, he has been a professor of optics in the Nankai University. His main researches are high sensitive photon detection, photon imaging technology, and application of biological sensor.

**Jianchun Mei** completed his master’s degree in the School of Physics from Nankai University, China, in 2010. The same year, he became an engineer and started to work in the Advanced Technology Institute, Nankai University. He is mainly engaged in the research of photoelectric detection and optical instrument design.

**Chunping Zhang** has been a professor of physics in the Nankai University since 1995. His main researchers are optical properties and applications of photochromic materials and biomedical photonics.

**Jianguo Tian** received his PhD from the Nankai University in 1991 and then started to teach in the same university as an assistant professor. In 1995, he became a professor. Since 2001, he has become a specially appointed professor at the Nankai University. He is mainly engaged in condensed matter physics and photonics, involving optical nonlinear mechanism and application of photoelectric material properties.