|
1.IntroductionNoninvasive techniques are of particular relevance in ophthalmology. Optical techniques are attractive because they often enable in vivo and in situ diagnosis. More generally, imaging techniques can provide key information about the structure and early detection of diseases without tissue preparation or slicing because they provide virtual biopsies from the tissues inside an acquired volume of data. Different slices can be realized inside the observed volume, along planes parallel to the surface, as is usually the case in optical microscopy, or along axial planes, so that images can be compared to histological sections of the tissues. Confocal reflectance microscopy selects light scattered for a given depth using spatial filtering to reject the light scattered by the rest of the sample. It is currently used for in vivo cornea imaging at the cell-scale level.1, 2, 3, 4 Multiphoton microscopy provides very informative images of the cornea.5, 6, 7, 8, 9, 10 This technique is based on the nonlinear excitation of fluorescent molecules or on harmonic generation. The excitation occurs only in a confined focal volume and, using high-numerical-aperture objectives, subcellular information can be achieved. Different nonlinear effects produce different wavelengths, enabling multimodal imaging of the same sample, highlighting several structures: two-photon excited fluorescence (2PEF) (epithelial and endothelial cells, stromal keratocytes), second-harmonic generation (SHG) (collagen lamellae in the stroma), and third-harmonic generation (THG) (epithelial and endothelial cells, stromal keratocytes). Optical coherence tomography (OCT) has also emerged as a new technology for 3-D imaging.11, 12 Its high axial resolution, good penetration depth, high sensitivity, noninvasive and nondestructive nature, and the possibility of real-time imaging make OCT interesting for a wide range of biomedical applications. OCT is particularly suitable for ophthalmology because of the transparency of the eye. OCT performs imaging along a great depth of both the anterior segment and the retina. OCT is based on the principle of interferometry using a low-temporal-coherence source. A light source with a wide spectrum is used to achieve high axial resolution, around a micrometer for state-of-the-art devices. Fourier-domain OCT (FD-OCT) is widely used in ophthalmology as a high-speed method for in vivo imaging of the retina13, 14 but also of the anterior segment of the human eye.15, 16 Nevertheless, this technique, based on the Fourier transform of the signal coming from the entire depth of the sample, is based on the use of a low-numerical-aperture objective that limits the transverse resolution to reach great depths of field. It then implies a compromise between the desired transverse resolution and the axial extent of the images. This type of FD-OCT presents complex optical design and is quite expensive. For certain applications, such as high-resolution imaging of the cornea cells along the entire thickness of the tissue, full-field OCT (FF-OCT) is an attractive alternative.17 A two-dimensional (2-D) image is recorded at a selected depth and the axial shift of the sample enables recording the information as a function of the third dimension. The setup is based on a Michelson interferometer including two identical microscope objectives. In our case, the light source is a halogen lamp that presents a broad and smooth spectrum, achieving imaging with high axial resolution. This configuration provides the possibility of using high-numerical-aperture objectives for increasing the transverse resolution. FF-OCT reaches micrometer-scale imaging18, 19 and has already demonstrated its potential for imaging porcine and mouse eyes20 but also human donor cornea21 with a spatial resolution of . Laser surgery is currently a “gold standard” in ocular surgery. Femtosecond lasers are routinely used for the laser in situ keratomileusis (LASIK) procedure, which is a refractive surgical technique for the correction of ocular optic errors.22, 23, 24, 25, 26 The femtosecond laser provides a precise and safe dissection for the realization of the corneal flap.27 More recently, this laser was also used for keratoplasty.28, 29 In this case, a custom-shaped grafting of the tissue is performed related to the pathology. The size and the shape of the donor and recipient cuts are determinant criteria in obtaining an accurate fit and good visual outcomes. The great advantage of the laser procedure over the mechanical techniques is the 3-D abilities of the laser dissection of the tissue, enabling several keratoplasty techniques. Various shapes can be realized and the laser incisions can be adapted to the precise location of the need of the graft.30 This surgical device appears as very safe and predictable because of the good reproducibility of laser incisions.31 Nevertheless, most of the studies detail the interaction process between the short pulses of the laser and the corneal tissue to determine the threshold irradiance.32 The shape and the precise size of the disrupted tissue is mainly studied on histological sections by optical and electron transmission microscopy.33, 34 It has been proven that OCT imaging can perform interesting information for glaucoma surgery35 or for corneal surgery36 but with a few micrometers resolution. The use of an imaging technique, that provides a resolution, to improve the laser surgery and to achieve a better cut of the cornea for corneal graft is of great interest for the surgeon, providing information on the interface quality and also imaging tiny changes of the tissue structure and the presence of small cavitation bubbles. In this paper, we describe FF-OCT, providing micrometer-scale resolution imaging of human graft corneas. First, the optical device, adapted to the study of immerged corneas, is presented and characterized. Imaging of human donor corneas is then realized, showing the possibility of visualizing the fine structures of the tissue on the entire thickness. The particular cases of edematous corneas and of laser incisions inside graft corneas are detailed. The interest of FF-OCT is that the data volume can be observed directly with a high resolution, close to histological section views, and according to different optical slices. It then appears as a powerful tool for the study of ex vivo human cornea and for the improvement of the laser incisions. 2.Experimental Setup and Methods2.1.Full-Field OCT SetupOCT is an optical technique using the principle of white light interferometry.11 The setup is based on a Michelson interferometer utilizing a broadband light source where one mirror is replaced by the studied sample.17 Interference patterns are visible only if the optical path difference between both arms is smaller than the coherence length of the source. Low coherence length results in interference patterns with a restricted axial extension and consequently a precise location of the sample interfaces. Moreover, the use of a microscope objective performs an increase of the lateral resolution as in optical microscopy. In our case, two identical microscope objectives are included in each arm to obtain interference patterns when the beams are recombined, leading to a Linnik interferometer microscope.18 Water immersion objectives are chosen to reduce the light reflection from the surface of the sample and to avoid dispersion mismatch between both arms,19 especially in the case of an immerged sample. Our experimental implementation is a full-field time domain OCT device (see Fig. 1 ). The light source is a halogen lamp coupled with a Köhler illumination for a homogeneous illumination. The incident light is split into two arms by a beamsplitter cube with a working range between 700 and . In both arms, mirrors oriented at a angle reflect light vertically to use immersion objectives with horizontal samples. Two identical water-immersion microscope objectives [ , 0.3 numerical aperture (NA), Olympus] are used to provide good transverse resolution. A glass slab is placed in the reference arm and serves as a fixed reference mirror. The sample is mounted on a high-precision linear stage (M-714, Physik Instrument PI), which provides a maximum displacement of . This shift is obviously much longer than the penetration depth because of the absorption and the scattering properties of the sample. After recombination, both beams are focused with a achromatic lens on the detector. The frames are recorded by a CCD camera, sensitive from , composed of a matrix and that can reach (GC 660, Prosilica). To increase the sensitivity of the device, binning is performed, reducing the number of effective pixels to . 2.2.Image Acquisition and System Characteristics2.2.1.Principle of the image acquisitionThe CCD camera and the piezoelectric stage are driven by a computer interface. The experimental device enables the acquisition of optical slices at different depths. The recorded information is composed of the incoherent light coming from both arms and of the superimposed fringe patterns. For each position, at a fixed depth inside the sample, the measurement consists of the subtraction in two frames with a phase shift equal to that corresponds to a shift of the sample equal to in water.37, 38 We record this calculated frame, which gives access to the fringe envelope and can be considered as an optical slice at the studied depth. Furthermore, at each position, a number of frames is averaged for a better imaging sensitivity. Since the refractive index of the cornea is quite close to the one of the water (1.33), the optical thickness measured by OCT is quite the same as the physical thickness. All the axial distances indicated in the figures are optical thicknesses. 2.2.2.Spectral sensitivityThe spectral transfer function of the setup was optimized for the study of biological samples, that is, in the near-IR range. Experimentally, this function mainly depends on both the camera spectral sensitivity and the emission spectrum of the light source. The halogen lamp is a thermal light source and its spectrum is centered in the IR spectral range and reaches the lowest wavelengths of the visible range when the intensity is high enough. The effective spectral sensitivity is the multiplication of both spectra and is limited by the halogen lamp at the lowest wavelengths and by the camera at the highest ones. The experimental spectral transfer function of our optical setup is calculated from the Fourier transform of the interferograms recorded on a glass sample, assuming that the Fresnel reflection coefficient of this material is independent of the wavelength (see Fig. 2 ). In our case, the spectral transfer function is centered at and exhibits a full width at half maximum (FWHM). All the optical elements (beamsplitter, mirrors, microscope objectives, achromatic lens) used in the setup were chosen for their optimal optical properties in this spectral range. 2.2.3.Axial and transverse resolutionsThe axial resolution (i.e., in the direction in the Fig. 1) depends on the source coherence length . Interference fringes are visible only if the optical path difference between both arms is smaller than the temporal coherence length of the source. The axial resolution is generally defined as the FWHM of the interferogram. If the source is assumed to have a Gaussian spectrum, the axial resolution, which depends on the mean wavelength , on the FWHM of the effective spectrum and on the refractive index of the medium , can be written as In our case, the experimental axial resolution in water was measured to be for a theoretical one (see Fig. 3 ). Note that this axial resolution is degraded at depths of several hundred micrometers due to dispersion mismatch in the two interferometer arms relative to the studied tissue in the sample arm.19The transverse resolution (i.e., in the and directions in Fig. 1) is limited by the diffraction. The Rayleigh criterion was used to determine the minimum resolvable detail. The theoretical resolution is then given by the numerical aperture of the objectives NA and the center wavelength of the effective spectrum : In our case, the theoretical transverse resolution is and it was experimentally measured to be . The resolution is degraded when imaging is performed through biological tissues with complex features that induce a distortion of the optical wavefront and multiple scattering effects. The field of view of the camera is a rectangle. To conclude, our experimental device enables 3-D imaging with a micrometer scale in the three directions.2.2.4.Detection sensitivityThe maximum penetration depth that can be reached by OCT is defined by the ability of the device to detect the signal backscattered at this depth. The detection sensitivity depends on the SNR, which could be increased by the average of images for a fixed position. By considering that the detection system is shot-noise limited and that the CCD camera operates close to saturation,19 the experimental detection sensitivity is about for an average of 200 frames. It corresponds to a trade-off between the detection sensitivity and the acquisition time (around per frame, which means that is around for a tomographic image). 2.3.Human Cornea and Laser SurgeryHuman corneoscleral rims were obtained from the eye bank (French Blood Center, Marseille, France). This study is based on a corpus of 10 human donor corneas to ensure representative results. All specimens were tissues rejected for transplantation based on standard operating protocols specified by the European Eye Bank Association, mainly due to their low endothelial cell density (below ), but these corneal grafts remain representative for the study of the cornea structure, especially for the stroma structure. The eyes were obtained within after death and stored in Optisol-GS. The storage in Optisol-GS does not exceed . Corneas were delivered in CorneaMax (Eurobio, Les Ulys, France) medium. Some corneas were directly imaged, intact, immerged in balanced salt solution (BSS). The other corneas were used to study laser surgery effects in the corneal tissue. After completion of the cut, the corneal button was replaced in CorneaMax and OCT imaging was performed within . Corneal incisions were performed using a Femtec laser (Tecnolas PerfectVision©, Heidelberg, Germany). This apparatus consists of a pulsed solid-body (Nd:glass) laser with a repetition rate of that emits light with a wavelength of and a pulse duration of . Laser beam energy of and a spot separation of were chosen. To cut the corneal specimen, corneoscleral discs were inserted in an artificial anterior chamber (Moria, Antony, France). Sodium hyaluronate 1.4% (Healon, AMO, Ettlingen, Germany) was instilled in the artificial anterior chamber as a viscoelastic up to a pressure of Hg. Then, the corneas were mounted on the Femtec laser through an aplanation lens and centered using the reflex image of the diode lights of the laser. The aplanation lens provided by Tecnolas Perfect Vision is curved with a radius of curvature. The cutting process was performed from posterior to anterior (i.e., a circular movement of the laser beam was used to cut through endothelium, stroma forward to the corneal epithelium). Patterns of the corneal incisions were as follows. First, the laser was set to obtain a deep lamellar corneal cut (parallel to the corneal surface) set at deep, then corneal vertical cuts were performed, i.e., the angle for the cut edge was set at to achieve a cut line running perpendicular to the surface tangent. The cornea was then disconnected from the laser and the corneal button was replaced in CorneaMax for further examination. After removal of the sample from the initial solution and during the preparation of the tissue, the hydration of the corneal surface was maintained by instillation of BSS. Nevertheless, BSS on the surface is not used during laser experiments to avoid any excess of liquid that could interfere with the measurements. The sample preparation did not exceed . Afterward, it is crucial to minimize the experiment duration, to limit the dehydration of the corneal samples. 3.Human Graft Cornea Imaging3.1.Human Graft CorneasFigure 4 shows a 3-D tomographic image of the entire thickness of the cornea with scanning steps. One of the axial cross sections of the previous volume of data is presented in Fig. 4. We can see that the epithelium (EP), Bowman’s layer (BM), stroma (ST), Descemet’s membrane (DM), and endothelium (E) from the anterior surface to the posterior surface of the cornea are clearly differentiated. These different layers can be easily identified as on routine histological corneal tissue sections [see Fig. 4]. The recorded signal level is quite high also from the deeper areas, and the posterior interface can be precisely located even if the light crosses of corneal tissue. Furthermore, imaging quality is good despite this relatively great depth. This is mainly due to the weak dispersion mismatch in the two interferometer arms and to the transparency property of the cornea. Figure 4 shows a stacked organization with bright interfaces parallel to the surface of the cornea. This light reflection is due to the keratocytes in the corneal stroma. These cells are parallel to each other and the collagen lamellae are located between them. The stacked organization of the collagen lamellae can be identified on the axial tomographic image, because they appear between the keratocytes with a lower signal. In the posterior part, most of the collagen lamellae tended to be arranged parallel to the corneal surface. The organization revealed by the OCT appears remarkably similar to that of the histological section. From the same 3-D tomographic data, cross sections parallel to the surface of the cornea can be realized (see Video 1 ). At around deep, inside the epithelium, the epithelial cells and the nuclei boundaries are clearly visible on the transverse slices. Highly scattering structural details revealing the uppermost stromal keratocytes are visible at around deep, just above the basement membrane. In this example, the low thickness of the epithelium is related to the manipulation for tissue preparation at the Eye Bank and before OCT imaging. The keratocytes are imaged along the entire thickness of the cornea and their number decreases from the anterior to the posterior stroma. Finally, the endothelial layer appears at around deep. At this level, we can observe folds in Descemet’s membrane, observed as an arched structure. Hexagonal structures imaged at the level of endothelium correspond to endothelial cells. 10.1117/1.3486544.1At approximately below Bowman’s layer (tomographic image in the lower left corner of Video 1), the keratocyte network is revealed as flat cells connected by cytoplasmic processes, linking adjacent cells together. Keratocytes give a high tomographic signal, even in a deep region of the stroma, and they can easily be recognized along the entire thickness of the cornea. Axial tomographic views [Fig. 4] are projections of the transverse views. The characteristic stacked organization is due to the tomographic signal of the keratocytes projected on a perpendicular plane. In Fig. 5 , only the first of the corneal structure are shown with an axial acquisition step reduced to for a better imaging quality in the axial direction. The dynamic views of these tomographic data are presented on Video 2 . Intraepithelial layers [EP layer in Fig. 5 transverse view is presented in Fig. 5], Bowman’s layer [BM in Fig. 5], and anterior stroma [ST in Fig. 5] are clearly visualized from the anterior to the posterior part of the cornea. The resolution of the system is high enough to distinguish even intraepithelial layers and some epithelial wing cells appear at the top of the 3-D image. The transverse sections of the epithelium [Fig. 5] show the nucleis of the epithelial cells. The high-resolution images show a thickened epithelium with hyporeflective corneal epithelial bullae [black arrows in Fig. 5], corresponding to intraepithelial edema vacuoles. The position of the Bowman’s membrane can be clearly located [BM in Fig 5]. This membrane appears as a dark band with a thickness of . The thin and curved layer oriented parallel to the corneal surface just above Bowman’s layer [see white arrow in Fig. 5] can be identified as the basement membrane. In Fig. 5, we could observe the anterior stroma. In this layer, the specific shape of the keratocytes is seen as a bright pattern surrounded by scattering collagen fibrils. 10.1117/1.3486544.23.2.Edematous CorneasOCT imaging was also performed on edematous corneas (see Fig. 6 ) and enabled the observation of the water accumulation regions that are formed between stromal lamellae in strongly edematous corneas. The presence of water in the stroma appears as dark regions on the images because there is no light scattering in these regions and, hence, no tomographic signal is recorded. In these pathologic conditions, the degree of organization of the collagen fibers is decreased and the amount of interstitial fluid is increased. Large fluid vacuoles are present between lamellae, the so-called “lakes,”39 resulting in distortion of fibrillar collagen distribution. On nonedematous cornea grafts, keratocytes are the main cells observed in the stroma with OCT imaging, whereas on an edematous cornea stromal lamellae become clearly visible [see Figs. 6 and 6], mainly due to the refraction index mismatch between the lakes, composed of water, and the collagen lamellae. In parallel to these physiological changes, it is well known that the swelling of the cornea is correlated with a clinical reduction of the transparency of the tissue and a modification of its optical properties.40, 41 The observation of the growth of such edema is then very interesting for a good understanding of these mechanisms. 3.3.Laser SurgeryThe effect of femtosecond laser incisions in clear corneal tissue, at threshold exposure and above, can also be observed by ultrahigh-resolution OCT. Lamellar incisions were performed in the anterior stroma of human cornea at deep (see Video 3 ). In this geometry, laser cuts are parallel to the corneal surface and show a slightly irregular cut pattern. The cutting edge inside the stroma is easily visible. The perturbation of the collagen structure extends to only a few micrometers of depth in the tissue and a hyperdensification of the collagen is visible at the borders of the incision, corresponding to disordering and delamination effects. Normal adjacent collagen fibers without any evidence of damage could also be observed. The laser cuts induced close to the threshold exhibited only localized corneal tissue modifications. Moreover, some cavitation bubbles remain after the laser incisions that are much smaller than the ones imaged just after the surgery, a few tens versus a few hundreds of micrometers. The size variations can be explained by the cavitation bubbles resorption within the first hours after laser surgery. 10.1117/1.3486544.3Perforating femtosecond laser incisions (see Video 4 ) were investigated and we observe that the laser produces a regular incision of constant good quality across the depth of the cornea. A perturbation of the collagen structure as in lamellar incisions can be observed and irregular residual cavities remain present in the corneal tissue with dimensions up to several tens of micrometers. Obviously, although the incident pulse energy is kept constant, the laser beam broadening and attenuation due to the opacity of the tissue result in stronger disruption effects in the anterior part of the cornea than in the posterior region. At the surface of the vertical side cuts, OCT imaging seems to show a more reflective interface (arrow in Video 4) than on the other parts of the cornea surface. This could be due to the laser incisions in the upper layer of the cornea. This hyperreflective interface and the modification of the stroma structure with the presence of cavitation bubbles could induce the lack of signal from the deeper structures in this region observed in the lower left corner of the images. For OCT imaging, the cornea is illuminated from the anterior part (according to the vertical direction on the presented images) and the previous modifications of the structure could explain the shadow because the propagation of the light beam is modified and, hence, the penetration depth is smaller in this region. 10.1117/1.3486544.44.Discussion and PerspectivesFF-OCT is particularly suited for imaging the fine structures of human cornea. The developed device reaches ultrahigh 3-D resolution imaging (respectively, 1 and in the axial and transverse directions) and, hence, enables an imaging quality close to traditional histological sections observed with classical optical microscopes. Moreover, OCT presents the advantage of 3-D imaging, with virtual sectioning along chosen directions, on unstained samples and without any slicing. Indeed imaging of the entire thickness of the cornea at a micrometer scale could provides key information about the characteristics of this tissue41 (thickness, hydration degree). This highlights the technique as a powerful tool for the study of pathologies on ex vivo human cornea. These requirements involve the precise anatomical and histological determination of each corneal layer, including the two thin posterior layers of the cornea, the endothelium and Descemet’s membrane. With our FF-OCT setup, imaging of an edematous cornea showed the presence of lakes and the evolution of the structure by comparison with a nonedematous tissue. A further study of the development of edema in the cornea and of the swelling and deswelling processes that occur on donor corneas before corneal grafts could be of great interest. FF-OCT also appears as an interesting tool for a better characterization of the donor graft (stroma and endothelial cells). Then, this technique could be used in the Eye Banks for graft selection. The main drawback of FF-OCT is that it requires relatively long acquisition times compared to FD-OCT. Nevertheless, it provides volumic imaging with a high and homogeneous 3-D spatial resolution. Although some studies42, 43, 44 have shown in vivo imaging with FF-OCT, this configuration leads to a trade-off between high-speed imaging and sensitivity of the device. Our system was specifically developed for ex vivo imaging. Hence, any sample movement during the acquisition time would blur the interference signal. Nevertheless, this choice was motivated by the aim of imaging with high resolution edematous tissues and laser incisions in quite deep regions of the corneal stroma for diagnostic studies. The implementation of polarizing elements could also give access to a better imaging of the laser incisions. By locally modifying the tissue structure, the laser incisions would be identified by specific polarimetric signatures that could be detected35, 45, 46 by polarization-sensitive OCT. The cornea exhibits birefringence mainly due to collagen, and the laser surgery could induce a modification of these properties. These signatures could also be correlated with the influence of laser parameters. As the corneal graft has grown to be the most frequently performed tissue transplant in the world, surgical improvements lead to a gradual change in procedures. Alternatives to standard penetrating keratoplasty (PK) were developed, such as anterior or posterior lamellar grafting procedures, for which only the pathological layer of the patient’s cornea is replaced.47, 48 Laser-assisted processing is the most appropriate method to perform these manually complicated dissections. This requirement of deep and precise corneal surgery with high ablation accuracy combined with minimal damage to the healthy surrounding tissues is ideally obtained with ultrashort lasers such as femtosecond lasers. The advent of femtosecond lasers has sparked a great interest in the search for finer effects, better accuracy, control, and reliability of the surgical process. However, femtosecond laser corneal operations use fluence values much greater than the damage threshold of tissues, leading to nonoptimized resolution and interface quality, particularly in important areas in nonhealthy tissue.49 Currently, the challenge is to optimize clinical operating conditions to cut as regularly as possible deep corneal tissues without damaging the surrounding zones. This implies working close to the damage or ablation threshold.50 The imaging of laser incisions presented here reveals a change of the structure due to the disruption of the tissue and the presence of cavitation bubbles. Both aspects induce a refractive index modification that leads to a tomographic signal. FF-OCT appears as an interesting technique for characterization of laser effects into graft corneal tissue. Furthermore, as edematous and nonedematous corneas do not have the same optical properties, the laser disruption effects vary as a function of edema. It could then be interesting to obtain precise characteristics of the state of the corneal graft stroma and to adjust laser incisions settings to these parameters. Moreover, new sources, with wavelengths minimizing the scattering and the absorption phenomena across the tissue,51 could be combined with high-resolution imaging methods to determine the ablation threshold in the stroma, to evaluate the profile and the quality of the laser incisions, and to optimize the laser parameters for corneal tissue cutting. 5.ConclusionWe demonstrated that the use of micrometer-scale resolution FF-OCT enables large-scale imaging of all the layers of a human cornea with subcellular resolution. Large-scale micrometric resolved acquisitions are important, since they provide images of the entire corneal thickness. Longitudinal cross section corneal imaging could help to characterize pathologic tissues and to observe laser damage characteristics in the corneal volume. These findings are relevant for clinical applications, since they could give access to the development of a high-quality laser-cutting surgery process for ocular tissues. FF-OCT will offer unique opportunities for the development of new noninvasive tools for ex vivo corneal imaging. FF-OCT appears as a very effective approach for imaging the structure and corneal pathologies as well as laser incisions on ex vivo human cornea. AcknowledgmentsThe authors acknowledge the French Blood Center of Marseille (France) and particularly Dr. Y. Nouaille de Gorce for providing samples of human graft cornea. We thank J. Moreau and D. Sacchet (Laboratoire Charles Fabry) and M. C. Schanne-Klein and E. Beaurepaire (Laboratoire d’Optique et Biosciences) for fruitful discussions and O. Casadessus for experimental help. This research was supported by the PACA region. ReferencesM. A. Lemp,
P. N. Dilly, and
A. Boyde,
“Tandem-scanning microscopy of the full-thickness of the cornea,”
Cornea, 4 205
–209
(1985). https://doi.org/10.1097/00003226-198504000-00001 0277-3740 Google Scholar
M. Böhnke and
B. R. Masters,
“Confocal microscopy of the cornea,”
Prog. Retin Eye Res., 18
(5), 553
–628
(1999). https://doi.org/10.1016/S1350-9462(98)00028-7 1350-9462 Google Scholar
B. Sonigo,
V. Iordanidou,
D. Chong-Sit,
F. Auclin,
J. M. Ancel,
A. Labbé, and
C. Baudouin,
“In vivo corneal confocal microscopy comparison of intralase femtosecond laser and mechanical microkeratome for laser in situ keratomileusis,”
Invest. Ophthalmol. Visual Sci., 47
(7), 2803
–2811
(2006). https://doi.org/10.1167/iovs.05-1207 0146-0404 Google Scholar
J. C. Erie,
J. W. McLaren, and
S. V. Patel,
“Confocal microscopy in ophthalmology,”
Am. J. Ophthalmol., 148 639
–646
(2009). https://doi.org/10.1016/j.ajo.2009.06.022 0002-9394 Google Scholar
D. W. Piston,
B. R. Masters, and
W. W. Webb,
“Three-dimensionally resolved NAD(P)H cellular metabolic redox imaging of the in situ cornea with two-photon excitation laser scanning microscopy,”
J. Microsc., 178 20
–27
(1995). 0022-2720 Google Scholar
M. Han,
G. Giese, and
J. F. Bille,
“Second harmonic generation imaging of collagen fibrils in cornea and sclera,”
Opt. Express, 13
(15), 5791
–5797
(2005). https://doi.org/10.1364/OPEX.13.005791 1094-4087 Google Scholar
J. G. Lyubovitsky,
J. A. Spencer,
T. B. Krasieva,
B. Andersen, and
B. J. Tromberg,
“Imaging corneal pathology in a transgenic mouse model using nonlinear microscopy,”
J. Biomed. Opt., 11
(1), 014013
(2006). https://doi.org/10.1117/1.2163254 1083-3668 Google Scholar
B. G. Wang,
K. Koenig,
I. Rieman,
R. Krieg, and
K. J. Halbhuber,
“Intraocular multiphoton microscopy with subcellular spatial resolution by infrared femtosecond lasers,”
Histochem. Cell Biol., 126 507
–515
(2006). https://doi.org/10.1007/s00418-006-0187-0 0948-6143 Google Scholar
N. Morishige,
A. J. Wahlert,
M. C. Kenney,
D. J. Brown,
K. Kawamoto,
T. Chikama,
T. Nishida, and
J. V. Jester,
“Second-harmonic imging microscopy of normal human and keratoconus cornea,”
Invest. Ophthalmol. Visual Sci., 48
(3), 1087
–1093
(2007). https://doi.org/10.1167/iovs.06-1177 0146-0404 Google Scholar
F. Aptel,
N. Olivier,
A. Deniset-Besseau,
J. M. Legeais,
K. Plamann,
M. C. Schanne-Klein, and
E. Beaurepaire,
“Multimodal nonlinear imaging of the human cornea,”
Invest. Ophthalmol. Visual Sci., 51 2459
–2465
(2010). https://doi.org/10.1167/iovs.09-4586 0146-0404 Google Scholar
D. Huang,
E. A. Swanson,
C. P. Lin,
J. S. Schuman,
W. G. Stinson,
W. Chang,
M. R. Hee,
T. Flotte,
K. Gregory,
C. A. Puliafito, and
J. G. Fujimoto,
“Optical coherence tomography,”
Science, 254 1178
–1181
(1991). https://doi.org/10.1126/science.1957169 0036-8075 Google Scholar
A. F. Fercher,
W. Drexler,
C. K. Hitzenberger, and
T. Lasser,
“Optical coherence tomography—principles and application,”
Rep. Prog. Phys., 66
(2), 239
–303
(2003). https://doi.org/10.1088/0034-4885/66/2/204 0034-4885 Google Scholar
M. Wojtkowski,
R. Leitgeb,
A. Kowalczyk,
T. Bajraszewski, and
A. F. Fercher,
“In vivo human retinal imaging by Fourier domain optical coherence tomography,”
J. Biomed. Opt., 7
(3), 457
–463
(2002). https://doi.org/10.1117/1.1482379 1083-3668 Google Scholar
W. Drexler and
J. G. Fujimoto,
“State-of-the-art retinal optical coherence tomography,”
Prog. Retin Eye Res., 27 45
–88
(2008). https://doi.org/10.1016/j.preteyeres.2007.07.005 1350-9462 Google Scholar
J. A. Izatt,
M. R. Hee,
E. A. Swanson,
C. P. Lin,
D. Huang,
J. S. Schuman,
C. A. Puliafito, and
J. G. Fujimoto,
“Micrometer-scale resolution imaging of the anterior eye in vivo with optical coherence tomography,”
Arch. Ophthalmol., 112 1584
–1589
(1994). 0003-9950 Google Scholar
M. Gora,
K. Karnowski,
M. Szkulmowski,
B. J. Kaluzny,
R. Huber,
A. Kowalczyk, and
M. Wojtkowski, Opt. Express, 17
(17), 14880
–14894
(2009). https://doi.org/10.1364/OE.17.014880 1094-4087 Google Scholar
E. Beaurepaire,
A. C. Boccara,
M. Lebec,
L. Blanchot, and
H. Saint-Jalmes,
“Full-field optical coherence microscopy,”
Opt. Lett., 23
(4), 244
–246
(1998). https://doi.org/10.1364/OL.23.000244 0146-9592 Google Scholar
A. Dubois,
L. Vabre,
C. Boccara, and
E. Beaurepaire,
“High-resolution full-field optical coherence tomography with a Linnik microscope,”
Appl. Opt., 41
(4), 805
–812
(2002). https://doi.org/10.1364/AO.41.000805 0003-6935 Google Scholar
A. Dubois,
K. Grieve,
G. Moneron,
R. Lecaque,
L. Vabre, and
A.-C. Boccara,
“Ultrahigh-resolution full-field optical coherence tomography,”
Appl. Opt., 43
(14), 2874
–2883
(2004). https://doi.org/10.1364/AO.43.002874 0003-6935 Google Scholar
K. Grieve,
M. Paques,
A. Dubois,
J. Sahel,
C. Boccara, and
J. F. Le Gargasson,
“Ocular tissue imaging using ultrahigh-resolution full-field optical coherence tomography,”
Invest. Ophthalmol. Visual Sci., 45
(11), 4126
–4131
(2004). https://doi.org/10.1167/iovs.04-0584 0146-0404 Google Scholar
M. Akiba,
N. Maeda,
K. Yumikake,
T. Soma,
K. Nishida,
Y. Tano, and
K. P. Chan,
“Ultrahigh-resolution imaging of human donor cornea using full-field optical coherence tomography,”
J. Biomed. Opt., 12
(4), 041202
(2007). https://doi.org/10.1117/1.2764461 1083-3668 Google Scholar
M. Han,
G. Giese,
L. Zickler,
H. Sun, and
J. F. Bille,
“Mini-invasive corneal surgery and imaging with femtosecond lasers,”
Opt. Express, 12
(18), 4275
–4281
(2004). https://doi.org/10.1364/OPEX.12.004275 1094-4087 Google Scholar
M. Niemz, Laser-Tissue Interactions—Fundamentals and Applications, 3rd ed.Springer, Heidelberg
(2003). Google Scholar
J. Bille,
C. Harner, and
F. H. Loesel, New Frontiers in Vision and Aberration-Free Refractive Surgery, Springer, Heidelberg
(2002). Google Scholar
K. Koenig,
B. Wang,
I. Riemann, and
J. Kobow,
“Cornea surgery with nanojoule femtosecond laser pulses,”
Proc. SPIE, 5688 288
–293
(2005). https://doi.org/10.1117/12.590445 0277-786X Google Scholar
H. K. Soong and
J. B. Malta,
“Femtosecond lasers in ophthalmology,”
Am. J. Ophthalmol., 147
(2), 189
–197
(2009). https://doi.org/10.1016/j.ajo.2008.08.026 0002-9394 Google Scholar
T. Juhasz,
F. Loesel,
R. Kurtz,
C. Horvath,
J. F. Bille, and
G. Mourou,
“Corneal refractive surgery with femtoseconds lasers,”
IEEE J. Sel. Top. Quantum Electron., 5
(4), 902
–910
(1999). https://doi.org/10.1109/2944.796309 1077-260X Google Scholar
L. Hoffart,
H. Proust,
F. Matonti,
B. Ridings, and
J. Conrath,
“Short-term results of penetrating keratoplasty performed with the Femtec femtosecond laser,”
Am. J. Ophthalmol., 146
(1), 50
–55
(2008). https://doi.org/10.1016/j.ajo.2008.02.025 0002-9394 Google Scholar
M. A. Terry,
P. J. Ousley, and
B. Will,
“A practical femtosecond laser procedure for DLEK endothelial transplantation: cadaver eye histology and topography,”
Cornea, 24
(4), 453
–459
(2005). https://doi.org/10.1097/01.ico.0000151509.57189.6f 0277-3740 Google Scholar
B. Seitz,
H. Brunner,
A. Viestenz,
C. Hofmann-Rummelt,
U. Schlotzer-Schrehardt,
G. O. Naumann, and
A. Langenbucher,
“Inverse mushroom-shaped nonmechanical penetrating keratoplasty using a femtosecond laser,”
Am. J. Ophthalmol., 139
(5), 941
–944
(2005). https://doi.org/10.1016/j.ajo.2004.11.028 0002-9394 Google Scholar
T. S. Ignacio,
T. B. Nguyen,
R. S. Chuck,
R. M. Kurtz, and
M. A. Sarayba,
“Top hat wound configuration for penetrating keratoplasty using the femtosecond laser: a laboratory model,”
Cornea, 25
(3), 336
–340
(2006). https://doi.org/10.1097/01.ico.0000179739.31196.e8 0277-3740 Google Scholar
A. Vogel,
J. Noack,
G. Huttman, and
G. Paltauf,
“Mechanisms of femtosecond laser nanosurgery of cells and tissues,”
Appl. Phys. B, 81
(8), 1015
–1047
(2005). https://doi.org/10.1007/s00340-005-2036-6 0946-2171 Google Scholar
A. Heisterkamp,
T. Mamom,
W. Drommer,
W. Ertner, and
H. Lubatschowski,
“Photodisruption with ultrashort laser pulses for intrastromal refractive surgery,”
Laser Phys., 13
(5), 743
–748
(2003). 1054-660X Google Scholar
V. Nuzzo,
K. Plamann,
M. Savoldelli,
F. Aptel,
B. Reynier,
F. Pailloux,
T. Cabioc’h,
O. Albert, and
J. M. Legeais,
“Deposit of glass fragments during femtosecond laser penetrating keratoplasty,”
Graefe's Arch. Clin. Exp. Ophthalmol., 247
(1), 107
–113
(2009). https://doi.org/10.1007/s00417-008-0948-7 0721-832X Google Scholar
Y. Yasuno,
M. Yamanari,
K. Kawana,
T. Oshika, and
M. Miura,
“Investigation of post-glaucoma-surgery by three-dimensional and polarization sensitive anterior eye segment optical coherence tomography,”
Opt. Express, 17
(5), 3980
–3995
(2009). https://doi.org/10.1364/OE.17.003980 1094-4087 Google Scholar
J. S. Brown,
D. Wang,
X. Li,
F. Baluyot,
B. Iliakis,
T. D. Lindquist,
R. Shirakawa,
T. T. Shen, and
X. Li,
“In situ ultrahigh-resolution optical coherence tomography characterization of eye bank corneal tissue processed for lamellar keratoplasty,”
Cornea, 27
(7), 802
–810
(2008). https://doi.org/10.1097/ICO.0b013e318169d6b7 0277-3740 Google Scholar
A. Dubois,
G. Moneron,
K. Grieve, and
A. C. Boccara,
“Three-dimensional cellular-level imaging using full-field optical coherence tomography,”
Phys. Med. Biol., 49 1227
–1234
(2004). https://doi.org/10.1088/0031-9155/49/7/010 0031-9155 Google Scholar
A. Dubois,
G. Moneron, and
C. Boccara,
“Thermal-light full-field optical coherence tomography in the wavelength region,”
Opt. Commun., 266 738
–743
(2006). https://doi.org/10.1016/j.optcom.2006.05.016 0030-4018 Google Scholar
G. B. Benedek,
“Theory of transparency of the eye,”
Appl. Opt., 10
(3), 459
–473
(1971). https://doi.org/10.1364/AO.10.000459 0003-6935 Google Scholar
R. A. Farrell,
R. L. McCally, and
P. E. R. Tatham,
“Wave-length dependencies of light scattering in normal and cold swollen rabbit corneas and their structural implications,”
J. Physiol., 233 589
–612
(1973). 0022-3751 Google Scholar
A. C. M. Wong,
C. C. Wong,
N. S. Y. Yuen, and
S. P. Hui,
“Correlational study of central corneal thickness measurements on Hong Kong Chinese using optical coherence tomography, Orbscan and ultrasoundpachymetry,”
Eye, 16
(6), 715
–721
(2002). https://doi.org/10.1038/sj.eye.6700211 0950-222X Google Scholar
K. Grieve,
A. Dubois,
M. Simonutti,
M. Paques,
J. Sahel,
J. F. Le Gargasson, and
C. Boccara,
“In vivo anterior segment imaging in the rat eye with high speed white light full-field optical coherence tomography,”
Opt. Express, 13
(16), 6286
–6295
(2005). https://doi.org/10.1364/OPEX.13.006286 1094-4087 Google Scholar
G. Moneron,
C. Boccara, and
A. Dubois,
“Stroboscopic ultrahigh-resolution full-field optical coherence tomography,”
Opt. Lett., 30
(11), 1351
–1353
(2005). https://doi.org/10.1364/OL.30.001351 0146-9592 Google Scholar
M. Akiba and
K. P. Chan,
“In vivo video-rate cellular-level full-field optical coherence tomography,”
J. Biomed. Opt., 12
(6), 064024
(2007). https://doi.org/10.1117/1.2822159 1083-3668 Google Scholar
G. Moneron,
A.-C. Boccara, and
A. Dubois,
“Polarization-sensitive full-field optical coherence tomography,”
Opt. Lett., 32
(14), 2058
–2060
(2007). https://doi.org/10.1364/OL.32.002058 0146-9592 Google Scholar
E. Götzinger,
M. Pircher,
M. Sticker,
A. F. Fercher, and
C. K. Hitzenbzerger,
“Measurement and imaging of birefringent properties of the human cornea with phase-resolved, polarization-sensitive optical coherence tomography,”
J. Biomed. Opt., 9
(1), 94
–102
(2004). https://doi.org/10.1117/1.1629308 1083-3668 Google Scholar
M. O. Price and
F. W. Price,
“Descemet’s stripping with endothelial keratoplasty: comparative outcomes with microkeratome-dissected and manually dissected donor tissue,”
Ophthalmology, 113
(11), 1936
–1942
(2006). https://doi.org/10.1016/j.ophtha.2006.05.034 0161-6420 Google Scholar
G. R. Melles,
F. Lander,
B. T. van Dooren,
E. Pels, and
W. H. Beekhuis,
“Preliminary clinical results of posterior lamellar keratoplasty through a sclerocorneal pocket incision,”
Ophthalmology, 107
(10), 1850
–1856
(2000). https://doi.org/10.1016/S0161-6420(00)00253-0 0161-6420 Google Scholar
E. M. Perlman,
“An analysis and interpretation of refractive errors after penetrating keratoplasty,”
Ophthalmology, 88 39
–45
(1981). 0161-6420 Google Scholar
P. S. Binder,
M. Sarayba,
T. Ignacio,
T. Juhasz, and
R. Kurtz,
“Characterization of submicrojoule femtosecond laser corneal tissue dissection,”
J. Cataract Refractive Surg., 34
(1), 146
–152
(2008). https://doi.org/10.1016/j.jcrs.2007.07.056 0886-3350 Google Scholar
F. Morin,
F. Druon,
M. Hanna, and
P. Georges,
“Microjoule femtosecond fiber laser at for corneal surgery applications,”
Opt. Lett., 34
(13), 1991
–1993
(2009). https://doi.org/10.1364/OL.34.001991 0146-9592 Google Scholar
|