Skip to main content

ORIGINAL RESEARCH article

Front. Med., 22 October 2024
Sec. Ophthalmology
This article is part of the Research Topic Differences Between Emmetropic and Myopic Eyes: Implications for Myopia Development, its Progression, and Ocular Health View all 6 articles

Quantitative structural organization of the sclera in chicks after deprivation myopia measured with second harmonic generation microscopy

  • 1Laboratorio de Óptica, Instituto Universitario de Investigación en Óptica y Nanofísica, Universidad de Murcia, Murcia, Spain
  • 2Section of Neurobiology of the Eye, Institute for Ophthalmic Research, Tuebingen, Germany

Visual deprivation causes enhanced eye growth and the development of myopia, which is associated with a change in the arrangement of collagen fibers within the sclera. A second harmonic generation (SHG) microscope has been used to image the collagen fibers of unstained scleral punches from the posterior part of chicken eyes. We aimed to analyze the fibrous scleral tissue and quantify the changes in collagen organization in relation to the extent of induced deprivation myopia. The scleral architecture was assessed with the Radon transform (RT) through the parameter called structural dispersion (SD) that provides an objective tool to quantify the level of organization of the collagen network. We found that final refraction and axial length changes were linearly correlated. However, no significant differences in scleral thickness were found for different amounts of induced myopia. In contrast, a significant correlation between SD and refraction was demonstrated, ranging from a non-organized (in the control sclerae) to a quasi-aligned distribution (with a dominant direction of the fibers, in the sclera of myopic chicks). These findings demonstrate a remodeling process of the scleral collagen associated with myopia progression that can be measured accurately combining SHG imaging microscopy and RT algorithms.

1 Introduction

The sclera is the white outer shell of the eye, a tough connective tissue with a complex organization of collagen fibers. It contains approximately 50% collagen by weight (about 90% type I) (1). This dense collagenous structure provides protection against external injury. Different microscopy techniques have been used to investigate the structure of the sclera and to measure the preferred orientations of the collagen lamellae. These include bright-field, scanning electron and atomic force microscopy, among others (25).

Myopia is an ocular condition resulting from a mismatch between the eye’s optical power and its axial length. The size and shape of the myopic eye are partly determined by the resistance of the sclera (6). Early studies of the human myopic eye detected thinner collagen fiber bundles and reduced scleral thickness at the posterior pole of the eye as compared with the emmetropic eye (6, 7). A study in monkeys’ eyes with experimentally induced myopia found that smaller fiber diameters are associated with a marked scleral thinning (8). Scleral thinning was also shown to occur during the development of axial myopia in a shrew model (9). Extensive details on the role of the sclera in the development of myopia can be seen in the work by McBrien and Gentle (10).

Chickens have been widely used as an animal model in myopia studies (1113). The induction of visual deprivation using monocular diffusers or defocus with negative lenses has been reported to cause ocular elongation and subsequent myopia (11), which is associated with scleral growth (14) and increased creep rate of posterior and equatorial sclera (15). The chick’s sclera is composed of two layers: an outer fibrous layer (similar to that of the mammals), mainly composed of collagen type I and an inner cartilaginous layer, which contains collagen types II and IV, and aggrecan as the predominant cartilage proteoglycan (16, 17).

Second harmonic generation (SHG) microscopy is a non-lineal imaging modality especially suitable for visualizing collagen-based samples without the need of chemical markers, fixation procedures or histological preparation (1820). Due to the rich collagen content of the sclera, this ocular component has been widely studied using this technique (2126). Several experiments have used ex-vivo non-stained samples from both porcine (21, 22, 25) and human eyes (23, 24, 26). More recently, SHG images of the sclera in living human eyes have also been successfully obtained (27). However, to the best of our knowledge experiments combining SHG imaging and chicken scleras have not been previously reported.

It has been shown that the spatial arrangement of collagen in the sclera is altered by various conditions such as glaucoma (28), aging (29), or myopia (9, 10) to name a few. However, some previous studies on scleral changes were not fully consistent. More recently, quantitative analyses on the scleral arrangement as a function of myopia in guinea pig eyes using SHG imaging microscopy have been reported (30, 31). In particular, this article goes a step further on this topic and we evaluate and quantify the changes suffered by the sclera of myopic chickens by combining SHG images and the Radon transform (RT).

2 Materials and methods

2.1 Animals and tissue preparation

The scleral tissue used in this study was obtained from 13 chickens (aged 7–10 days) examined as part of a study on the development of myopia. All experiments were conducted in accordance with the ARVO statement for the use of animals and approved by the University of Tübingen Commission for Animal Welfare. White Leghorn chickens were raised under an 11/13 h light/dark cycle, with the light phase starting at 8:00 a.m. Water and food were supplied ad libitum. Illumination was provided by light bulbs that produced an average ambient illuminance of 500 lx on the cage floor.

Deprivation myopia was induced by attaching translucent plastic diffusers (32) over one eye for 7 days. Fellow eyes had normal vision and served as contralateral controls. Refractive state was measured without cycloplegia right before diffuser treatment started and at the end of the treatment period by automated infrared photoretinoscopy (33). Ocular dimensions were determined by A-scan ultrasonography as previously described (32), also at the beginning and at the end of the treatment period. Averages of three measurements for both refraction and axial length from contralateral control and treated eyes were taken.

Animals were sacrificed by an overdose of ether. The eyes were immediately enucleated and cut with a razor blade in the equatorial plane, approximately 1 mm posterior to the ora serrata. The anterior segment of the eye was discarded and the vitreous removed. From each ocular globe, tissue punches (8-mm in diameter) were taken from an area close to the optic nerve head (Figure 1). Then, both the retinal pigment epithelium and the choroidal layers were removed. The remaining scleral tissue was fixed by 30 min of immersion in 4% paraformaldehyde (PFA) in 0.1 M phosphate buffer, washed and afterwards stored to be sent in 1% PFA solution for SHG imaging.

Figure 1
www.frontiersin.org

Figure 1. Illustrative drawing representing the location from where the chicken sclera tissue was harvested. The inset picture shows the scleral punch placed on the microscope glass bottom dish.

2.2 SHG image acquisition

SHG images of the sclera samples were obtained using a multiphoton microscopy system [(see 34) for further details of the setup]. In brief, the instrument combined a commercial inverted microscope (TE2000-U; Nikon, Japan) with a 800-nm (central wavelength) Ti:sapphire laser (Mira900f; Coherent, St Clara, CA). The repetition frequency of the laser was 76 MHz, and the pulse width was ~120 fs. The beam was focused on the sample through a long working distance objective (20x, NA 0.50, Nikon, ELWD series), with an average power of 80 mW. The focusing objective collected the nonlinear signal emitted by the sample. The signal emitted in the backward direction passed through a dedicated narrow-band spectral filter (400 ± 10 nm) before reaching the detector. The detector was a photomultiplier tube (PMT; R7205-01, Hamamatsu). A DC motor coupled to the objective allowed optical sectioning across the entire specimen along the Z-direction.

Each non-stained scleral punch (see section 2.3) was placed on the microscope stage with its fibrous layer facing down on a glass bottom dish filled with phosphate buffer. The inset in Figure 1 shows one of the specimens prepared for SHG image acquisition.

Two imaging protocols were used to record the SHG signal from the scleral tissue: tomographic imaging (35) and “regular” XY-plane imaging. The latter was set to operate at 1 frame/s. SHG images were 180 × 180 μm2 in size (256 × 256 pixel2) and corresponded to the plane with best intensity projection within the sclera. For the former, the separation across adjacent points was 2 μm and it was used to image the fibrous portion of the chicken sclera. Whereas XY images allowed the visualization of the sclera collagen fibers, tomographic images permitted the calculation of the sample’s thickness (see section 2.3). No image averaging was performed. Illustrative examples of SHG images acquired with both protocols are presented in Figure 2.

Figure 2
www.frontiersin.org

Figure 2. SHG images of the chicken sclera: axial tomography (top) and image across an XY plane (bottom). Scale bar: 50 μm.

2.3 Image analysis

Image processing was performed by a dedicated software developed under MatLab™ (The MathWorks, Inc., Natick, MA). Fibrous scleral thickness of the was obtained from the tomographic images as follows (Figure 3). For each Xi location (vertical axis on Figure 3a) the intensity profile along the Z axis was extracted (horizontal axis on Figures 3a,b). For each set of data forming an axial profile, the corresponding derivatives were used for an accurate edge detection. Then, the distance between every pair of edge points (at both sides of the profile) was taken as the local thickness (ti, see red arrows in Figure 3). The final thickness for each sample used herein was the mean value across all Xi locations.

Figure 3
www.frontiersin.org

Figure 3. (a) Tomographic SHG images of a chicken sclera along the X direction. Red dots set the position of the edge estimated after the derivative of the curve at every point. (b) Example of an intensity profile as a function of depth for a particular Xi location.

To explore the organization of the scleral collagen fibers of each SHG image (Figure 4a), the RT method was applied. This is a mathematical tool that combined with the Fourier Transform (FFT) robustly quantifies the preferential (or dominant) orientation (PO) of the fibers (Figures 4b,c) and the structural dispersion (SD) value. A detailed description of this formalism and its advantages when wavy collagen fibers and crimped architecture appear in the image can be found in (36). The RT of the FFT image ensures that all peaks are close to the center of the x′ reference axis (Figure 4c). This x′ = 0 line represents the angular information of the fibers (Figure 4d). In particular, the peak provides the PO (green arrow), and the SD is computed as standard deviation of the values of the angular distribution (37). If a PO exists, the distribution of Figure 4d can be fitted by a Gaussian function centered on the actual PO value. When SD ≤ 20°, the sample is composed of fibers quasi-aligned along a PO. For a sample presenting a non-organized structure, SD will be larger than 40°. A partially organized distribution is considered when SD values are within the range (20°, 40°]. As a general rule, the higher the SD, the lower the level of organization of the fibers within the tissue. At this step the algorithm is not designed to compute the thickness of the fibers with the SHG image.

Figure 4
www.frontiersin.org

Figure 4. RT procedure to perform the calculation of the structural organization of the collagen fibers of the fibrous chicken sclera. (a) Original SHG image; (b) FFT image; (c) RT of the FFT image where the peak (green arrow) corresponds to the preferential orientation; (d) RT plot for x′ = 0. The insets indicate the values of SD and PO.

2.4 Statistics

Data are shown as the mean ± standard deviation. The difference between the experimental eyes and the fellow eyes were analyzed with a paired t-test. In Figures 5b, 6, 7, the measured parameters were expressed as changes/increment (Δ, after-before).

Figure 5
www.frontiersin.org

Figure 5. (a) Relationship between refraction (in D) and axial length (in mm) (best linear fit (solid black line): Rxfinal = −6.74*ALfinal + 63.74). (b) Change in refraction during the treatment period as a function of change in axial length (best linear fit (solid black line): ΔRxfinal = 7.86*ΔALfinal + 3.52).

Figure 6
www.frontiersin.org

Figure 6. Averaged values of fibrous scleral thickness (μm) vs. the increment in axial length (mm).

Figure 7
www.frontiersin.org

Figure 7. Changes in SD with axial length increment. Linear regression fitted to the data shows a statistically significant decrease. Best linear fit: SD = −16.85·ΔAL + 41.66.

3 Results

3.1 Refraction and axial length

The diffuser-treated eyes developed axial myopia during the 1-week treatment period (mean final refraction: −4.70 ± 2.71 D, see Figure 8). Fellow control eyes, which were exposed to normal visual experience, remained slightly hyperopic (+2.49 ± 0.64 D). The refraction values between the two groups of eyes were statistically different (paired t-test, p < 0.0001).

Figure 8
www.frontiersin.org

Figure 8. Average refraction in control and deprived chicken eyes (after 1 week of wearing a diffuser). Error bars indicate the standard deviation.

Figure 5a shows the individual refraction as a function of the axial length after deprivation. It can be seen that higher degrees of myopia are closely associated with longer ocular length. This result is as expected. In the figure, the black line shows the best linear fit from the experimental data, which is significant (R = 0.77, p < 0.0001). The final refraction values were in the range of −10.1 D to +3.6 D. For completeness, the relationship between the change from baseline in refraction (ΔRx) and axial length (ΔAL) is shown in Figure 5b. Again, a statistically significant linear correlation was found (R = 0.78, p < 0.0001).

3.2 Fibrous scleral thickness

As an example, Figure 9 shows two randomly chosen SHG intensity profiles along the depth location (i.e., the Z-axis of the tissue as shown in Figure 3) for scleras from chicken eyes with low and high levels of myopia. Visual inspection reveals little difference between the two profiles, resulting in similar thickness values.

Figure 9
www.frontiersin.org

Figure 9. SHG intensity profiles as a function of depth for scleral punches from myopic eyes with refraction values of −1.23 D (blue) and − 9.35 D (red).

To confirm the apparent lack of change in the scleral thickness as a function of refraction, all samples were analyzed following the experimental procedure described above. Figure 6 shows the values of thickness of the fibrous sclera as a function of axial length change for all the samples included in the experiment. The values ranged between 50 and 70 μm (mean value: 62 ± 6 μm). Each value corresponded to the average across the entire SHG tomography. No relationship between both parameters was found here. There was no correlation between the scleral thickness and the final refraction either.

This absence of changes with myopia was confirmed in a parallel experiment using a commercial optical coherence tomography (OCT) instrument (Spectralis, Heidelberg Engineering). Measurements provided a mean fibrous scleral thickness value of 58 ± 9 μm, with no significant difference between myopic and control eyes.

3.3 Organization of the scleral collagen fibers

Figure 10 shows, as representative examples, SHG images of the sclera in eyes with low (left) and high (right) axial length changes (or alternatively, low and high changes in refraction after the deprivation treatment). Directly from the images it is difficult to detect changes in the collagen structure distribution, although the scleral fibers are visible and well delineated. The insets of Figure 10 show the corresponding SD values computed through the RT procedure explained in Methods (section 2.3). Moreover, no relationship between SHG intensity and refraction or axial length was found.

Figure 10
www.frontiersin.org

Figure 10. SHG images for chicken scleras with low (left) and high (right) axial length increments after deprivation. Insets indicate the change in axial length (ΔAL) and the SD values computed by the RT algorithm. Scale bar in (a,b): 50 μm.

Although some motion artifacts are apparent at the edges of the images, affected areas were never included in the image processing procedure. Our algorithm was designed to automatically detect and eliminate those regions from the analysis.

To further explore and quantify possible differences in the scleral collagen arrangement as a function of myopia, the SD was calculated for all samples. SD values as a function of the axial length increment are depicted in Figure 7. A decreasing (statistically significant) linear trend was observed (R = 0.65, p = 0.0004). The correlation of SD with the final axial length, not shown in the figure, was similar (SD = −16.07·ALFINAL + 180.46; R = 0.67, p = 0.0002).

The relationship between SD and the final ocular refraction is shown in Figure 11 for all specimens. The fitting to a linear model shows a weaker, but still significant, correlation compared to the evolution of SD as a function of axial length increment (R = 0.48, p = 0.01). It is interesting to note a broader inter-sample dispersion in the SD values in the group of eyes with refraction at +3D and closer to 0D.

Figure 11
www.frontiersin.org

Figure 11. SD values as a function of the final refraction. The black line corresponds to the best linear fit (SD = 1.31·Rxfinal + 26.80). Data for eyes with refraction values at +3D and closer to 0D are represent with a different symbol (triangles).

Finally, Figure 12 depicts the overall impact of deprivation on the sclera organization of treated eyes, compared to fellow (non-deprived) eyes. While the average SD for the control group was 34 ± 11° (which is close to a non-organized collagen structure), this value was significantly reduced to 19 ± 7° in the deprived eyes (values within the range of the quasi-aligned distribution). Differences between the two groups were statistically significant (p = 0.02, paired t-test).

Figure 12
www.frontiersin.org

Figure 12. Averaged values of scleral SD in control and deprived chicken eyes (after 1 week of wearing diffuser). Error bars indicate the standard deviation.

4 Discussion and conclusion

The sclera is not a static outer layer of the eye, but a dynamic tissue capable of altering the composition and structure of its extracellular matrix (i.e., collagen) in response to changes in the visual environment (38). In recent decades, there has been increasing interest in studying changes in various ocular structures due to myopia. In particular, changes in the myopic sclera as a result of axial elongation were early reported (6). As myopia progression alters the structure of this outer ocular envelope, non-invasive and quantitative analyses of the collagen fiber distribution are of great importance. These will help to better understand how myopia development alters collagen organization within the sclera.

Although morphological changes in the sclera were early recognized (2, 6), only a few studies have quantitatively characterized the extracellular matrix of the sclera and its relationship to myopia [see for instance the review by Harper and Summers (39)]. More recently, techniques such as polarization-sensitive OCT (40) and SHG microscopy (30, 31) have been used in guinea pigs for this purpose. In the former, the authors reported a positive correlation between scleral birefringence and refractive error that predicted the onset of myopia (40). On the other hand, SHG images revealed that scleral collagen fibers of form-deprivation myopic eyes were more aligned (30). Similar results were showed by Germann et al. since they found an increase in the order coefficient of the fibers when comparing the treated myopic eye and the non-myopic fellow eye (31).

In the present work we used chickens as myopia animal models. Unlike the rodent sclera (and mammals’ in general) (41) where only a fibrous layer appears, the chicken sclera consists of an inner cartilaginous layer and an outer fibrous layer that resembles mammalian sclera. Herein, SHG microscopy was used to image unstained scleral punches in both control and form-deprivation myopic chicken eyes. The thickness of the fibrous sclera was measured and the degree of organization of its collagen fibers was computed as a function of various myopia-related ocular parameters.

In contrast to the cartilaginous layer, the fibrous layer undergoes remodeling during excessive eye growth, a mechanism that might underlie the development of myopia (10). In particular, collagen fibers in the human sclera have been observed to become lamellar rather than interwoven with increasing degree of myopia (2, 6). A decrease in collagen concentration has also been observed in the posterior sclera of highly myopic humans (42). More recently, the use of wide-angle x-ray scattering mapping has shown statistically significant differences in posterior scleral fiber angle deviation when comparing non-myopic and highly myopic human eyes (>6 D) (43).

Our results on scleral remodeling in myopic eyes are consistent with previous studies in mammalian animal models and humans. The degree of organization of the scleral collagen was found to increase with myopia. In particular, there is a significant linear negative relationship between SD and the ocular axial length (slope: −16°/mm). On average, it decreased from ~50° (unorganized) to ~15° (quasi-organized). Moreover, as refraction and axial length are closely related, SD was also significantly (positively) correlated with final refraction (slope: 1.3°/D). This means that the more myopic the eye is, the higher organized the scleral collagen is.

It has been also reported that high myopia in both humans and monkeys is associated with severe thinning of the (fibrous) sclera, particularly at the posterior pole of the eye (6, 8). However, the significance of scleral thinning is still unclear. Although this might be related to a reduction in collagen fiber diameter (2), some authors claimed that this thinning was a consequence of passive stretching of the scleral tissue around the enlarged myopic eye (44, 45). However, a shrew model forced a reinterpretation of this hypothesis, since this significant thinning in the posterior part of the eye occurred after both short- and long-term deprivation treatments (9).

Our data show that the fibrous scleral thickness remains relatively constant. In our specimens, thickness values varied between 50 and 70 μm, but no correlation with the degree of myopia was observed. This result differs from previous findings in mammalian models or humans (2, 69, 37). Other studies have found that the thinning of the fibrous sclera in chicks is similar to what was observed in myopic mammals (16, 46, 47). On the opposite, a recent study in chicks did not find a significant difference in the thickness of the fibrous scleral layer between myopic and control eyes (48). Although this agrees with our results, there are large differences in terms of absolute fibrous sclera thickness between both experiments. Whereas Yan and colleagues measured a mean thickness of 110 μm (48), we obtained 62 μm using SHG tomography and 58 μm by means of OCT. This divergence may be partly explained by the fact that chicken hybrid line in Yan’s study was different from ours. Moreover, their animals were also slightly older.

Additional physical parameters such as the fiber size or the tissue elasticity were out of the scope of this work. However, it is interesting to note that smaller collagen fiber diameters in the fibrous sclera of chicken myopic eyes (16, 49) and mammalian models (including humans) (2, 9, 30) have been previously described. This narrowing of the fibers may be associated with both biochemical and biomechanical changes in the scleral extracellular matrix (15, 42, 50). Scleral elasticity has been showed to increase in eyes developing myopia, mainly due to the reduced collagen content (51). Other evidence suggests that the biomechanical properties of sclera (elasticity and creep) may play a significant regulatory role in the axial elongation of myopic eyes (15, 52). Whereas elasticity is related to the immediate change in the tissue length when a force is applied (i.e., extension vs. load), creep describes the slow, time-dependent extension/compression under a constant load (i.e., extension vs. time) (15). Although biomechanical parameters have not been specifically addressed here, further analyses on these may help to clarify whether scleral collagen changes in myopia result from passive stretch or from active tissue remodeling.

In conclusion, SHG microscopy images of the chicken scleral tissue were used to objectively study the changes produced during the development of deprivation myopia. The spatially resolved distribution of scleral collagen fibers was visualized and quantified as a function of ocular refraction. The axial elongation associated with increasing amounts of myopia is closely related to the rearranging of the scleral tissue. Our experiment showed a process of remodeling of the posterior sclera during axial elongation. The collagen pattern changes from a non-organized distribution into a quasi-organize arrangement.

Data availability statement

Data underlying the results presented in this paper may be obtained from the authors upon reasonable request.

Ethics statement

The animal study was approved by the University of Tuebingen Commission for Animal Welfare and by the Ethical Committee of the University of Murcia. The entire experiment followed the guidelines of the Association for Research in Vision and Ophthalmology Statement for the Use of Animals in Ophthalmic and Vision Research.

Author contributions

JB: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft. RM-O: Formal analysis, Methodology, Software, Writing – review & editing. EF: Conceptualization, Data curation, Writing – review & editing. MF: Data curation, Methodology, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Agencia Estatal de Investigación, Spain (PID2020-113919RB-I00/AEI/10.13039/501100011033).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Keeley, F, Morin, JD, and Vesely, S. Characterization of collagen from normal human sclera. Exp Eye Res. (1984) 39:533–42. doi: 10.1016/0014-4835(84)90053-8

Crossref Full Text | Google Scholar

2. Curtin, BJ, Iwamoto, T, and Renaldo, D. Normal and staphylomatous sclera of high myopia. An electron microscopic study. Arch Ophthalmol. (1979) 97:912–5. doi: 10.1001/archopht.1979.01020010470017

Crossref Full Text | Google Scholar

3. Komai, Y, and Ushiki, T. The three-dimensional organization of collagen fibrils in the human cornea and sclera. Invest Ophthalmol Vis Sci. (1991) 32:2244–58.

Google Scholar

4. Meek, K, and Fullwood, NJ. Corneal and scleral collagens - a microscopist’s perspective. Micron. (2001) 32:261–72. doi: 10.1016/s0968-4328(00)00041-x

Crossref Full Text | Google Scholar

5. Yamamoto, S, Hashizume, H, Hitomi, J, Shigeno, M, Sawaguchi, S, Abe, H, et al. The subfibrillar arrangement of corneal and scleral collagen fibrils as revealed by scanning electron and atomic force microscopy. Arch Histol Cytol. (2000) 63:127–35. doi: 10.1679/aohc.63.127

Crossref Full Text | Google Scholar

6. Curtin, BJ, and Teng, CC. Scleral changes in pathological myopia. Trans Am Acad Ophthalmol Otolaryngol. (1958) 62:777–88.

PubMed Abstract | Google Scholar

7. Curtin, BJ. Physiopathologic aspects of scleral stress-strain. Trans Am Ophthalmol Soc. (1969) 67:417–61.

PubMed Abstract | Google Scholar

8. Funata, M, and Tokoro, T. Scleral change in experimentally myopic monkeys. Graefes Arch Clin Exp Ophthalmol. (1990) 228:174–9. doi: 10.1007/BF00935729

Crossref Full Text | Google Scholar

9. McBrien, NA, Cornell, LM, and Gentle, A. Structural and ultrastructural changes to the sclera in a mammalian model of high myopia. Invest Ophthalmol Vis Sci. (2001) 42:2179–87.

PubMed Abstract | Google Scholar

10. McBrien, NA, and Gentle, A. Role of the sclera in the development and pathological complications of myopia. Prog Retin Eye Res. (2003) 22:307–38. doi: 10.1016/S1350-9462(02)00063-0

Crossref Full Text | Google Scholar

11. Schaeffel, F, Glasser, A, and Howland, HC. Accommodation, refractive error and eye growth in chickens. Vis Res. (1988) 28:639–57. doi: 10.1016/0042-6989(88)90113-7

Crossref Full Text | Google Scholar

12. Troilo, D, and Wallman, J. The regulation of eye growth and refractive state: an experimental study of emmetropization. Vis Res. (1991) 31:1237–50. doi: 10.1016/0042-6989(91)90048-a

Crossref Full Text | Google Scholar

13. Wallman, J. Retinal control of eye growth and refraction. Prog Retinal Res. (1993) 12:133–53. doi: 10.1016/0278-4327(93)90007-G

Crossref Full Text | Google Scholar

14. Christensen, AM, and Wallman, J. Evidence that increased scleral growth underlies visual deprivation myopia in chicks. Invest Ophthalmol Vis Sci. (1991) 32:2143–50.

PubMed Abstract | Google Scholar

15. Phillips, JR, Khalaj, M, and McBrien, NA. Induced myopia associated with increased scleral creep in chick and tree shrew eyes. Invest Ophthalmol Vis Sci. (2000) 41:2028–34.

PubMed Abstract | Google Scholar

16. Marzani, D, and Wallman, J. Growth of the two layers of the chick sclera is modulated reciprocally by visual conditions. Invest Ophthalmol Vis Sci. (1997) 38:1726–39.

PubMed Abstract | Google Scholar

17. Rada, JA, Thoft, RA, and Hassell, JR. Increased aggrecan (cartilage proteoglycan) production in the sclera of myopic chicks. Dev Biol. (1991) 147:303–12. doi: 10.1016/0012-1606(91)90288-e

Crossref Full Text | Google Scholar

18. Fine, S, and Hansen, WP. Optical second harmonic generation in biological systems. Appl Opt. (1971) 10:2350–3. doi: 10.1364/AO.10.002350

Crossref Full Text | Google Scholar

19. Kim, BM, Eichler, J, and Da Silva, LB. Frequency doubling of ultrashort laser pulses in biological tissues. Appl Opt. (1999) 38:7145–50. doi: 10.1364/ao.38.007145

Crossref Full Text | Google Scholar

20. Campagnola, PJ, Clark, HA, Mohler, WA, Lewis, A, and Loew, LM. Second-harmonic imaging microscopy of living cells. J Biomed Opt. (2001) 6:277–86. doi: 10.1117/1.1383294

Crossref Full Text | Google Scholar

21. Han, M, Giese, G, and Bille, J. Second harmonic generation imaging of collagen fibrils in cornea and sclera. Opt Express. (2005) 13:5791–7. doi: 10.1364/opex.13.005791

Crossref Full Text | Google Scholar

22. Teng, SW, Tan, HY, Peng, JL, Lin, HH, Kim, KH, Lo, W, et al. Multiphoton autofluorescence and second-harmonic generation imaging of the ex vivo porcine eye. Invest Ophthalmol Vis Sci. (2006) 47:1216–24. doi: 10.1167/iovs.04-1520

Crossref Full Text | Google Scholar

23. Lo, W, Tan, HY, Lin, MG, Hsueh, CM, Chen, WL, Lin, SJ, et al. Forward and backward second harmonic generation imaging of corneal and scleral collagen In: Proceedings of SPIE 6860, Multiphoton Microscopy in the Biomedical Sciences VIII, 68600F (2008)

Google Scholar

24. Sun, H, Kurtz, RM, and Juhasz, T. Evaluation of human sclera after femtosecond laser ablation using two photon and confocal microscopy. J Biomed Opt. (2012) 17:081411. doi: 10.1117/1.JBO.17.8.081411

Crossref Full Text | Google Scholar

25. Yamanari, M, Nagase, S, Fukuda, S, Ishii, K, Tanaka, R, Yasui, T, et al. Scleral birefringence as measured by polarization-sensitive optical coherence tomography and ocular biometric parameters of human eyes in vivo. Biomed Opt Express. (2014) 5:1391–402. doi: 10.1364/BOE.5.001391

Crossref Full Text | Google Scholar

26. Bueno, JM, Gualda, EJ, and Artal, P. Adaptive optics multiphoton microscopy to study ex vivo ocular tissues. J Biomed Opt. (2010) 15:066004. doi: 10.1117/1.3505018

Crossref Full Text | Google Scholar

27. Ávila, FJ, Gambín, A, Artal, P, and Bueno, JM. In vivo two-photon microscopy of the human eye. Sci Rep. (2019) 9:10121. doi: 10.1038/s41598-019-46568-z

Crossref Full Text | Google Scholar

28. Pijanka, JK, Coudrillier, B, Ziegler, K, Sorensen, T, Meek, KM, Nguyen, TD, et al. Quantitative mapping of collagen fiber orientation in non-glaucoma and glaucoma posterior human sclerae. Invest Ophthalmol Vis Sci. (2012) 53:5258–70. doi: 10.1167/iovs.12-9705

Crossref Full Text | Google Scholar

29. Coudrillier, B, Pijanka, J, Jefferys, J, Sorensen, T, Quigley, HA, Boote, C, et al. Collagen structure and mechanical properties of the human sclera: analysis for the effects of age. J Biomech Eng. (2015) 137:041006. doi: 10.1115/1.4029430

Crossref Full Text | Google Scholar

30. Hoerig, C, McFadden, S, Hoang, QV, and Mamou, J. Biomechanical changes in myopic sclera correlate with underlying changes in microstructure. Exp Eye Res. (2022) 224:109165. doi: 10.1016/j.exer.2022.109165

Crossref Full Text | Google Scholar

31. Germann, JA, Villegas, L, Revuelta, L, and Marcos, S. Effects of pharmacological treatments of myopia on scleral collagen organization in myopic guinea pig models. Invest Ophthalmol Vis Sci. (2023) 64:2859.

Google Scholar

32. Schaeffel, F, and Howland, HC. Properties of the feedback loops controlling eye growth and refractive state in the chicken. Vis Res. (1991) 31:717–34. doi: 10.1016/0042-6989(91)90011-s

Crossref Full Text | Google Scholar

33. Seidemann, A, and Schaeffel, F. Effects of longitudinal chromatic aberration on accommodation and emmetropization. Vis Res. (2002) 42:2409–17. doi: 10.1016/s0042-6989(02)00262-6

Crossref Full Text | Google Scholar

34. Skorsetz, M, Artal, P, and Bueno, JM. Performance evaluation of a sensorless adaptive optics multiphoton microscope. J Micros. (2016) 261:249–58. doi: 10.1111/jmi.12325

Crossref Full Text | Google Scholar

35. Bueno, JM, Palacios, R, Pennos, A, and Artal, P. Second-harmonic generation microscopy of photocurable polymer intrastromal implants in ex-vivo corneas. Biomed Opt Express. (2015) 6:2211–9. doi: 10.1364/BOE.6.002211

Crossref Full Text | Google Scholar

36. Mega, Y, Robitaille, M, Zareian, R, McLean, J, Ruberti, J, and DiMarzio, C. Quantification of lamellar orientation in corneal collagen using second harmonic generation images. Opt Lett. (2012) 37:3312–4. doi: 10.1364/OL.37.003312

Crossref Full Text | Google Scholar

37. Ávila, FJ, and Bueno, JM. Analysis and quantification of collagen organization with the structure tensor in second harmonic microscopy images of ocular tissues. Appl Opt. (2015) 54:9848–54. doi: 10.1364/AO.54.009848

Crossref Full Text | Google Scholar

38. Rada, JA, Shelton, S, and Norton, TT. The sclera and myopia. Exp Eye Res. (2006) 82:185–200. doi: 10.1016/j.exer.2005.08.009

Crossref Full Text | Google Scholar

39. Harper, AR, and Summers, JA. The dynamic sclera: extracellular matrix remodeling in normal ocular growth and myopia development. Exp Eye Res. (2015) 133:100–11. doi: 10.1016/j.exer.2014.07.015

Crossref Full Text | Google Scholar

40. Liu, X, Jiang, L, Ke, M, Sigal, IA, Chua, J, Hoang, QV, et al. Posterior scleral birefringence measured by triple-input polarization-sensitive imaging as a biomarker of myopia progression. Nat Biomed Eng. (2023) 7:986–1000. doi: 10.1038/s41551-023-01062-w

PubMed Abstract | Crossref Full Text | Google Scholar

41. Lluch, S, Ventura, J, and López-Fuster, MJ. Eye morphology in some wild rodents. Anat Histol Embryol. (2008) 37:41–51. doi: 10.1111/j.1439-0264.2007.00796.x

Crossref Full Text | Google Scholar

42. Avetisov, ES, Savitskaya, NF, Vinetskaya, MI, and Iomdina, EN. A study of biochemical and biomechanical qualities of normal and myopic sclera in humans of different age groups. Metab Pediatr Syst Ophthalmol. (1983) 7:183–8.

PubMed Abstract | Google Scholar

43. Markov, PP, Eliasy, A, Pijanka, JK, Htoon, HM, Paterson, NG, Sorensen, T, et al. Bulk changes in posterior scleral collagen microstructure in human high myopia. Mol Vis. (2018) 24:818–33.

PubMed Abstract | Google Scholar

44. Young, FA. The nature and control of myopia. J Am Optom Assoc. (1977) 48:451–7.

Google Scholar

45. Curtin, BJ. The myopias: basic science and clinical management. Philadelphia: Harper & Row (1985).

Google Scholar

46. Gottlieb, MD, Joshi, HB, and Nickla, DL. Scleral changes in chicks with form-deprivation myopia. Curr Eye Res. (1990) 9:1157–65. doi: 10.3109/02713689009003472

Crossref Full Text | Google Scholar

47. Troilo, D, Smith, EL III, Nickla, DL, Ashby, R, Tkatchenko, AV, Ostrin, LA, et al. IMI - report on experimental models of emmetropization and myopia. Invest Ophthalmol Vis Sci. (2019) 60:M31–88. doi: 10.1167/iovs.18-25967

Crossref Full Text | Google Scholar

48. Yan, F, Wang, C, Wilson, JA, O'Connell, M, Ton, S, Davidson, N, et al. Visually guided chick ocular length and structural thickness variations assessed by swept-source optical coherence tomography. Biomed Opt Express. (2021) 12:6864–81. doi: 10.1364/BOE.433333

Crossref Full Text | Google Scholar

49. Kusakari, T, Sato, T, and Tokoro, T. Visual deprivation stimulates the exchange of the fibrous sclera into the cartilaginous sclera in chicks. Exp Eye Res. (2001) 73:533–46. doi: 10.1006/exer.2001.1064

Crossref Full Text | Google Scholar

50. Norton, TT, and Rada, JA. Reduced extracellular matrix in mammalian sclera with induced myopia. Vis Res. (1995) 35:1271–81. doi: 10.1016/0042-6989(94)00243-f

Crossref Full Text | Google Scholar

51. McBrien, NA, Jobling, AI, and Gentle, A. Biomechanics of the sclera in myopia: extracellular and cellular factors. Optom Vis Sci. (2009) 86:E23–30. doi: 10.1097/OPX.0b013e3181940669

Crossref Full Text | Google Scholar

52. Phillips, JR, and McBrien, NA. Form deprivation myopia: elastic properties of sclera. Ophthalmic Physiol Opt. (1995) 15:357–62. doi: 10.1046/j.1475-1313.1995.9500062i.x

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: myopia, deprivation, sclera, collagen, second harmonic microscopy

Citation: Bueno JM, Martínez-Ojeda RM, Fernández EJ and Feldkaemper M (2024) Quantitative structural organization of the sclera in chicks after deprivation myopia measured with second harmonic generation microscopy. Front. Med. 11:1462024. doi: 10.3389/fmed.2024.1462024

Received: 09 July 2024; Accepted: 24 September 2024;
Published: 22 October 2024.

Edited by:

Pablo De Gracia, University of Detroit Mercy, United States

Reviewed by:

James Germann, University of Rochester, United States
Xinyu Liu, Singapore Eye Research Institute (SERI), Singapore

Copyright © 2024 Bueno, Martínez-Ojeda, Fernández and Feldkaemper. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Juan M. Bueno, bueno@um.es

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.