1. Introduction
Currently, fluorescence microscopy is widely used because of its optical convenience and less invasive method, where an image of fluorescence microscopy is obtained by reconstructing the fluorescence signals of various focused laser spots. However, when chemical staining process is given to biological specimen, the additional chemical treatment inevitably harms the homogeneity of specimens, and the high absorption coefficient of synthetic dyes also limits the imaging depth. To overcome this issue, nonlinear optical signals can be used, and two-photon excitation fluorescence (2PEF) and second harmonic generation (SHG) are often utilized to obtain a microscope image of archaeological and osteological specimens [
1,
2,
3,
4,
5,
6].
In the case of 2PEF microscopy, transparent laser color, i.e., the energy of the laser photon less than the bandgap of the specimen, gives rise to fluorescence through the two-photon absorption (2PA) process. As the third-order nonlinear optical process requires strong light intensity, 2PEF occurs only in the intense area of a laser spot. Therefore, 2PEF microscopy provides an improved spatial resolution compared to the confocal fluorescence microscope image obtained by direct one-photon transition, and collateral damages to the unwanted area can be inhibited. On the other hand, SHG occurs in non-centrosymmetric structures [
7,
8,
9,
10,
11], where the frequency of incident light becomes doubled as a consequence of the second-order nonlinear process, and the energy conversion from the incident light to SHG occurs in a coherent and instantaneous way. Therefore, the SHG signal can be obtained without an extra staining process, and the structural asymmetry can be studied in terms of polarization dependence.
Animal bone and tooth are important in archaeological and forensic science. The physical properties of bones in archaeological reconstruction such as degeneration and preservation provide important clues of living style and cultural activities. For example, the bone structures are investigated by isotopic analysis [
12], X-ray diffraction [
13], and scanning electron microscope (SEM) [
14], but most of the studies focused on mammalian bones. Fish bones are known to have different carbon-nitrogen ratio (C:N) compared to that of mammalian bones, and a distinctive collagen composition is expected [
15]. However, the optical properties of fish bone collagen are rarely known. In this work, we utilized two different nonlinear optics techniques to investigate the tooth of olive flounder, which is the most common fish for food in Korea, Japan, and China. Although the specimen is not stained with fluorescence dye, we observed autofluorescence from the tooth collagen by 2PA process of femtosecond pulses, and a fluorescence image was also obtained by lateral laser scanning. For increasing excitation power, we found a photobleaching effect becomes significant in the tooth collagen. In addition, a SHG image was also obtained due to the non-centrosymmetric structure of the tooth collagen, and we found the SHG signal shows a strong polarization anisotropy. This result suggests that the tooth collagen has an aligned bundle structure.
3. Results and Discussion
Nonlinear optical images of the olive flounder fish canine were obtained in three different color channels of red (
Figure 2(a)), green (
Figure 2(b)), and blue (
Figure 2(c)), respectively. In red and green channels, the two images show curly and stripe-like structures, which are associated with the collagen alignment. On the other hand, the image in blue channel shows only a stripe-like structure. When the three color images are merged together in
Figure 2(d), the stripe-like structure becomes significant among the three different color channels.
In
Figure 1(e), the intensity distribution over a selected color image was shown. For example, given the image (
Figure 1(c)) in blue (410~510 nm) channel, the number of pixels was counted for intensity. While the similar intensity distributions were obtained from the two images in red and green channels, the image intensity in the blue channel is nearly twenty times larger. These results suggest that the autofluorescence of the canine appears over a broad spectrum range via the 2PA process, which covers red, green, and blue channels. However, an additional signal of SHG is also generated in the blue channel. While the both curly and stripe-like structures cause autofluorescence, the SHG is originated from the stripe-like structure. Indeed, animal canines were known to cause SHG due to the aligned collagens.
It is known that the autofluorescence of collagens is likely suppressed under strong excitation [
16,
17,
18,
19]. As 2PEF occurs over a threshold excitation power, the photobleaching effect in 2PEF microscopy can be less significant compared to that in direct one-photon excitation fluorescence, but not avoidable [
20]. On the other hand, SHG is free from the photobleaching unless excitation is less than the optical damage threshold power of SHG, which is usually orders of magnitude large compared to that of fluorescence photobleaching [
10]. As the SHG is an inherent consequence of the outmost bound electrons, an external labelling of fluorophore is also not necessary.
To investigate the photobleaching effect of 2PEF, the temporal degradation of autofluorescence was measured at various excitation power. In
Figure 3(a) and 3(b), the time-resolved normalized autofluorescence intensity at red and green channels were shown for increasing excitation power, respectively. In both cases, the decrease of autofluorescence intensity is not significant with excitation power of 20 mW. When excitation power becomes over 60 mW, a gradual photobleaching was observed to appear in ~10
2 seconds. We found that the time-resolved autofluorescence intensity with various excitation powers can be fitted by double exponential decay functions
, where five empirical parameters (
) are used. Suppose the autofluorescence intensity converges to the offset (
), a normalized loss of emission (
) can be obtained as an evaluation quantify photobleaching.
To investigate the photobleaching effect of 2PEF, the temporal degradation of autofluorescence was measured at various excitation power. In
Figure 3a and 3b, the time-resolved normalized autofluorescence intensity at red and green channels were shown for increasing excitation power, respectively. In both cases, the decrease of autofluorescence intensity is not significant with excitation power of 20 mW. When excitation power becomes over 600 mW, a gradual photobleaching was observed to appear in ~10
2 seconds. We found that the time-resolved autofluorescence intensity with various excitation powers can be fitted by double exponential decay functions
, where five empirical parameters (
) are used. Suppose the autofluorescence intensity converges to the offset (
), a normalized loss of emission (
) can be obtained as an evaluation quantity of photobleaching.
On the other hand, the autofluorescence intensity in blue channel remains constant (
Figure 3(c)) with the small loss of emission ~10
-2 (Figure3(d)) as excitation power increases up to 250 mW. It is noticeable that the frequency-doubled state of SHG is not associated with light absorption. However, 2PA results in an intra-relaxation of excite carriers before fluorescence occurs, where phonons or molecular vibrations are induced. Therefore, the blue signal (410~510 nm) is dominated by SHG, and the most of incident light is converted to SHG. Likewise, strong photobleaching occurs in red and green channels because the energy conversion to SHG is absent. As shown in
Figure 3(d), the autofluorescence loss in red and green channels show a linear increase for increasing excitation power up to 250 mW, while the second- and third-order nonlinearity of SHG and 2PA show quadratic and cubic excitation power dependence respectively [
13]. Up to 250 mW excitation, we also found the photobleaching is a temporary effect. If the photobleached canine remains blocked from laser excitation for a few minutes, the autofluorescence is recovered, and the same photobleaching feature can be obtained.
Regarding that the SHG image is dominated by stripe-like structures, polarization dependence of the SHG intensity was studied. Suppose the canine collagen bundle is aligned as shown schematically in
Figure 4(a), the frequency-doubled SHG electric field
depends on the angle (
) between linearly polarized excitation light
the collagen alignment. Given an incident electric field vector
, the SHG polarization vector
is described as
where the subscripts
refer to the cartesian axis of
. Therefore, the second-order electric susceptibility
is a tensor. Recently, the SHG of collagens was described in terms of the cylindrical symmetry (
), whereby
tensor becomes reduced with the nonvanishing components along the main axis [
9,
21,
22,
23,
24]. Suppose light propagates along
-axis
, the three components of
are given as
To describe the two transverse components of electric fields in the polarization plane,
and
can be normalized to be
, and the polarization angle of electric field
can be determined by
and
. Regarding the birefringence of
symmetry in collagens, the difference between extra-ordinary and ordinary refractive indices (
) was known to near
[
24,
25,
26], and the lateral polarization components
can be determined by
where
is wavelength of incident light and
is propagation length along the
direction. Finally, the SHG intensity
can be described by
where
,
, and
are a fitting parameter for normalization, ratio of
to
, and non-polarized autofluorescence, respectively.
In
Figure 4(b), the nonlinear signal intensity measured at red, green, and blue channels were plotted for changing the polarization angle (
). Compared to the autofluorescence in red and green, the SHG in blue channel shows a significant polarization anisotropy, where the SHG intensity becomes maximized when excitation polarization is parallel to the collagen alignment (
). We also found the measured polarization anisotropy was fitted well with Equation (7), where the obtained ratio
is also comparable to previous results [
23], and
was almost constant (~0.3).
Author Contributions
Conceptualization, S.L. and K.K.; methodology, S.L., J.K. and M.K; software, S.L, J.K., M.K.; validation, S.L. and K.K.; formal analysis, S.L. and J.K.; investigation, S.L. and J.K.; resources, K.K.; data curation, S.L., J.K.; writing—original draft preparation, S.L., J.K., M.K., H.K. and K.K.; writing—review and editing, M.K., H.K., K.K and R.A.T.; visualization, S.L., M.K. and K.K.; supervision, K.K.; project administration, K.K.; funding acquisition, K.K. All authors have read and agreed to the published version of the manuscript.