Determination of the foveal cone spacing by ocular speckle interferometry: Limiting factors and acuity predictions

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1 S. Marcos and R. Navarro Vol. 14, No. 4/April 1997/J. Opt. Soc. Am. A 731 Determination of the foveal cone spacing by ocular speckle interferometry: Limiting factors and acuity predictions Susana Marcos* and Rafael Navarro Instituto de Óptica Daza de Valdés, Consejo Superior de Investigaciones Científicas, Serrano 121, Madrid, Spain Received February 5, 1996; revised manuscript received November 1, 1996; accepted November 1, 1996 We have developed a high-resolution imaging technique, based on speckle interferometry, for the objective determination of the cone spacing in the living human fovea. The spatial resolution attained with this technique is theoretically diffraction limited by the pupil size. However, the highest frequency that we measure varies greatly among subjects, especially for fully dilated pupils. We have conducted several experiments (determination of the cutoff frequency of ocular speckle interferometry, the double-pass modulation transfer function, and the Stiles Crawford effect) that indicate that, as expected, the resolution is not limited by the incoherent modulation transfer function. We found, though, a high correlation between the cutoff frequency and the width of the eye s Stiles Crawford function. This implies that the resolution depends on the structural properties of the cone mosaic itself. In addition, we have compared the Nyquist frequency of the cone mosaic, determined objectively by our technique, with the grating visual acuity measured in the same eyes at the same foveal eccentricities. For our subjects, visual resolution nearly matches the Nyquist frequency within the fovea, except at the foveal center, where the optical transfer function of the eye attenuates the contrast of frequencies close to the Nyquist limit to a value below threshold Optical Society of America [S (97) ] 1. INTRODUCTION The cone distribution across the human retina is well known from histological studies. In 1935 Oersterberg 1 presented a detailed histological study in a single human eye. Much more recently, modern techniques of microscopy and of handling of anatomical tissues have provided new estimates of human cone spacing. 2,3 Williams 4 introduced a psychophysical noninvasive method with which he obtained estimates of cone spacing by producing moiré patterns between interferometric fringes and the subject s cone mosaic. Artal and Navarro 5 proposed the first objective method for obtaining the foveal cone interdistance in living human eyes: a new, high-resolution imaging technique based on stellar speckle interferometry (a technique used in astronomy to recover diffractionlimited information of stellar objects observed through atmospheric turbulence 6 ). Subsequently, Miller et al. 7 developed a related technique with incoherent illumination, and they succeeded in obtaining foveal cone spacing data outside the center of the fovea. Using the original idea, we have recently developed a high-resolution method using coherent light, ocular speckle interferometry 8 (OSI), to determine experimentally the distribution of the cones across the human fovea, including the foveal center. Ocular speckle interferometry has been described in detail. 8 The method consisted basically of recording a series of short-exposure images of small patches of the fovea, illuminated with a coherent narrow laser beam. The average power spectra corresponding to a series of images exhibited typically either elliptical rings or hexagons, whose mean radii corresponded to the characteristic spatial frequencies of the cone mosaic at the tested retinal location. In the previous work 8 we measured four subjects at four foveal eccentricities (0, 0.25, 0.5, and 1 ), along with an additional subject at 0.5 and 1, and obtained rings with a good signal in 14 out of the 18 cases. There are several potential reasons why the method failed in estimating the cone spacing in one subject at lower eccentricities than 1 and in another subject at 0. First, a quite regular packing is required in order to get a clear peak at the characteristic spatial frequency in the average power spectrum. Second, the characteristic spatial frequency of the mosaic must be lower than the highest frequency (cutoff) achieved with OSI. We briefly discussed 8 that, contrary to theoretical predictions, the cutoff frequency did not always reach the diffraction limit and that it varied among subjects. A deeper study of the potential factors limiting the resolution of the method would be interesting not only to understand better the method itself but also because we could get new insights about the relationship between the optical properties of the eye and parameters of the cone mosaic. Apart from resolving open questions related to the technique, we would be able to estimate the relative contributions of optical and retinal factors affecting visual resolution across the fovea, by combining these data (optical quality and characteristic spatial frequency of the cone mosaic) with measurements of visual acuity in the same subjects and conditions. Therefore the present study has two main goals, which we will treat in the following two sections: In Section 2 we analyze the eye s optical quality and the Stiles Crawford effect of our subjects and evaluate how they /97/ $ Optical Society of America

2 732 J. Opt. Soc. Am. A/Vol. 14, No. 4/April 1997 S. Marcos and R. Navarro could affect the resolution attained in OSI. In Section 3 we explore to what extent foveal cone spacing, measured in vivo, imposes a fundamental limit to subjective spatial resolution in individual subjects. For this purpose we performed several experiments on the same subjects and obtained the following: 1. Estimates of the cutoff frequency of OSI power spectra at the foveal center for two different pupil diameters (5 and 8 mm). 2. The incoherent modulation transfer function (MTF) for the two different pupil diameters (5 and 8 mm) with use of a double-pass method. 9,10 3. The Stiles Crawford function, with a standard subjective method. 4. Visual acuity by estimating grating detection and discrimination acuity within the fovea. 2. WHAT FACTORS LIMIT RESOLUTION IN OCULAR SPECKLE INTERFEROMETRY? The theoretical resolution limit in speckle interferometry is diffraction limited. 6 Nevertheless, the results 8 suggested that this may not be the case in our experimental measurements. The transfer function that modulates the signal in speckle interferometry is the so-called speckle transfer function. 6 The speckle transfer function for the incoherent case is simpler than for the coherent case, but both attain the cutoff frequency of the incoherent diffraction-limit MTF (proportional to the pupil diameter). 11 Thus knowledge of the speckle transfer function of the eye would be of great help in understanding the limits of the OSI. In astronomical applications the speckle transfer function is obtained by computing the average power spectra of a series of images of a point star within the isoplanatic patch around the object. Nevertheless, in the case of the eye, it is not possible to isolate a single point of the fundus: Because of the limited optical quality of the eye, the image of a point projected onto the fovea illuminates a patch with several cones. In addition, the hypotheses that allow us to compute the incoherent transfer function from the aerial image of a point source imaged on the retina (i.e., averaging in the spatial domain) 9,12 no longer hold for averaging in the Fourier domain. In a recent study 13 we estimate the speckle transfer function of a model eye that included a deterministic and a random component of the wave-front aberration. We confirmed that, as theoretically predicted, the cutoff frequency in OSI can be close to the diffraction limit. A. Cutoff Frequency of the Average Power Spectra Although the speckle transfer function of the eye cannot be experimentally measured, the actual resolution of the method can be estimated from the cutoff frequency of the average power spectra corresponding to a series of small patches of the fovea (the same average power spectra that we use to estimate the cone spacing). In principle, since the cone mosaic contains fine details, its power spectrum must show a large bandwidth with a high content of high frequencies, which we have verified by computing the power spectra of images of excised cone mosaic patches. 3 Table 1. Cutoff Spatial Frequencies of the Average Power Spectra (c/deg) for Four Subjects and Two Pupil Diameters Pupil diameter (mm) Cutoff Spatial Frequencies (c/deg) by Subject Diffraction Limit MA SM RN MR In addition, the power spectra of in vivo recordings (both by Miller et al. 7 and our own results 8 ) show a broad frequency bandwidth. Four subjects MA, MR, RN, and SM participated in the experiment (partial preliminary results on two of these subjects have already been presented in Ref. 8). Refractive errors were carefully compensated. The pupil was dilated by instilling two drops of tropicamide 1%. We instructed the subjects to fixate carefully on a target conjugate to the foveal center. Two artificial pupils with 5- and 8-mm diameters were used, and one or two series of 12 short-exposure images each were registered for each subject and pupil size. Then we computed the average power spectra of the series. We defined an effective cutoff frequency as the spatial frequency beyond which the radial profile of the power spectrum equals the noise level. The noise level was estimated as the mean intensity level outside the theoretical cutoff spatial frequency, assuming white noise. The resulting effective cutoff frequencies are shown in Table 1 for our four subjects and two pupils. The variability among subjects is considerable and is consistent for both pupil diameters. For subject MR the resolution almost reaches the theoretical diffraction limit, whereas for the others (e.g., MA), particularly for an 8-mm pupil, the resolution is far below the theoretical value. B. Ocular Modulation Transfer Function Ocular image quality is a critical factor in visual resolution, and in addition it can potentially affect the performance of high-resolution methods such as OSI. For instance, although the resolution achieved in computer simulations of the OSI that included typical ocular aberrations was almost diffraction limited, 13 when artificial defocus was introduced in the simulated wave front (by including a defocus term in the Zernike polynomial) the signal-to-noise ratio, as well as the effective cutoff frequency, of the average power spectra experienced a significant decrease. The same result was observed in the experimental average power spectra of a series of out-offocus images collected from an emetropized cyclopeged subject. Therefore, although with the standard MTF s we cannot study effects at very high spatial frequencies, in some cases (e.g., with poor optical quality) the aberrations could influence the speckle transfer function, attenuating the signal-to-noise ratio and thus the effective cutoff frequency. On the other hand, as we will discuss in Section 3, the balance between optical (MTF) and retinal (cone Nyquist frequency) factors is critical, at least at the foveal center. Consequently, we have evaluated the

3 S. Marcos and R. Navarro Vol. 14, No. 4/April 1997/J. Opt. Soc. Am. A 733 optical quality of those two subjects (MA and RN) for whom we have cone spacing estimates at the foveal center. Mydriasis was achieved by instilling two drops of tropicamide 1% within a 5-min interval. Defocus and astigmatism were compensated in the same way as in the speckle interferometry experiment. 8 We obtained objective estimates of the ocular MTF for artificial pupil diameters of 5 and 8 mm through a standard double-pass technique. 9,10 Figure 1 shows one-dimensional plots (radial profiles) extracted from the two-dimensional MTF s for the two pupil diameters and two subjects: (a) MA and (b) RN. The standard incoherent MTF decreases for bigger pupils, as a result of aberrations. Thus the optical resolution decreases when the pupil diameter is increased from 5 to 8 mm. However, in speckle interferometry, in contrast to conventional imaging, increasing the pupil size improved resolution (see Table 1). Furthermore, subject MA, with a better MTF than that of RN, showed lower OSI resolution than RN. Both experiments, the OSI resolution experiment and the MTF measurements, were made under exactly the Fig. 2. Diagram of the two-channel Maxwellian-view system used to measure the SCE. BS, beam-splitter; P1 and P1, 1.5-mm pinholes backilluminated by halogen lamps; L1 and L1, condenser lenses; L2 and L2, collimators: L3 and L3 project a 3-deg bipartite field stop (HF and HF ) onto the subject s fovea; GF, green filter; M, movable mirror; IR CCD, pupil monitoring system. same conditions (cycloplegia, 5- and 8-mm artificial pupils, foveal center, and same optical correction for each subject). Nevertheless, we found no clear relationship between the optical quality of the eye and the resolution achieved by OSI (when ametropias were compensated). In conclusion, the incoherent MTF seems not to play a major role in attenuating the OSI power spectra (nor thus in modifying the effective cutoff frequency). Moreover, the differences in optical quality among subjects do not account at all for the observed intersubject variability in the resolution obtained in OSI; furthermore, optical quality and OSI resolution can even present opposite signs. Fig. 1. One-dimensional (radial profiles) double-pass MTF s for 5-mm and 8-mm pupils, for subjects (a) MA and (b) RN. C. Stiles Crawford Effect When discussing the large variability of the effective cutoff frequency among subjects, we hypothesized 8 that this could possibly be related to the Stiles Crawford effect (SCE). Even though the SCE is retinal in origin, it can be regarded as an inhomogeneous pupil transmission. 14 The SCE has been determined to be the cause of a common saturationlike effect found in several phenomena whose magnitudes should otherwise vary monotonically with pupil diameter (for instance, depth of focus, 15,16 contrast sensitivity, 17,18 and perceived lateral chromatic aberration 19,20 ). The influence of the SCE could also explain the discrepancy of the OSI cutoff frequencies from the expected resolution. To test this hypothesis we measured the SCE in our subjects to investigate any possible correlation between the width of the Stiles Crawford (SC) function and the OSI cutoff frequency. For this purpose we built a standard two-channel Maxwellian-view optical system, depicted in Fig. 2. A pellicle beam splitter allows the subject to view both

4 734 J. Opt. Soc. Am. A/Vol. 14, No. 4/April 1997 S. Marcos and R. Navarro channels (A and B) simultaneously. Each channel projects a 1-mm green spot on the subject s entrance pupil plane and a 3-deg semidisk (HF and HF, respectively, forming a disk) onto the subject s fovea. These field stops are adjustable toward and away from lenses L3 and L3 to correct for the subject s refractive error. In addition, HF is mounted on an X Y micropositioner to initially adjust the two halves of the semidisk and to compensate for the small movement of the retinal image resulting from off-axis aberrations of the eccentric beam. The spot projected by channel B scans the subject s pupil plane by displacing lens L2, making use of its prismatic action. The intensity of the beam in channel B is kept constant. The intensity of the beam in channel A, which initially equals that of channel B (when both beams enter the pupil at the same position), is adjusted by the subject by means of a continuous neutral-density wedge (W) until the brightness of the lower semidisk (HF) matches that of the upper semidisk (HF, decentered at the entrance pupil). The relative intensity of the two beams is measured with a light power meter. The subject s head position is fixed by means of dental impression mounted on a threedimensional micropositioner. Alignment is achieved by the experimenter, using the controls of the micropositioner, while observing the pupil (imaged with an infrared camera) on a monitor to which a reticule is attached. The pupil centration is checked several times throughout the experiment. The SCE was measured in the four subjects who had participated in the experiments described above. The pupil was dilated by means of tropicamide 1%. We tested at least seven pupillary entry positions, sampling the pupil in 0.66-mm steps symmetrically about the geometrical pupil center, along the horizontal meridian. Measurements were performed three times at each position. We used the following standard expression 21,22 to fit our data of relative luminous efficiency: max 10 x x max 2 ; (1) in logarithmic units this equation becomes a parabola, easy to fit by linear least-squares. x max is the coordinate (mm) of the peak of relative luminous efficiency ( max ), and (mm 2 ) is the shape factor, inversely proportional to the squared full width at half-maximum (FWHM) of the relative luminous efficiency curve: FWHM /. (2) The smaller the value, the wider the SC function. Figure 3 shows the logarithm of the relative luminous efficiency for our four subjects. Symbols represent the experimental data (results from three sets of measurements), and lines are the best-fit parabolas. The value for each subject was estimated as the average of the three values derived by fitting separately each set of measurements. The results for the four subjects are MA , SM , RN , and MR mm 2. We normalized the cutoff spatial frequencies of the power spectra for the four subjects (Table 1) by the theoretical diffraction limit corresponding to the physical pupil diameter (Table 1, first column). Figure 4 represents the FWHM of the relative luminous efficiency versus the normalized cutoff frequency attained by OSI, for the four subjects and two physical pupil diameters (5 and 8 mm). The error bars represent the standard error of the mean (estimated by error propagation from the standard error of the mean value of ). There is a clear correlation between the departure of the cutoff frequency from the diffraction limit (departure from 1 in the x axis) and the peakedness of the SC function (decrease of the FWHM Fig. 3. Relative luminous efficiency curves (log units) for the four subjects. Symbols represent the experimental data from three different sets of measurements; the solid curve represents parabolic fits. For presentation the curves have been displaced in the vertical direction. Spacing between major ticks in the y axis is 0.2 unit. Fig. 4. Width of the SC relative luminous efficiency curves (FWHM) for two physical pupil diameters versus OSI cutoff spatial frequencies (normalized to the diffraction limit cutoff). The dashed line represents a linear fit to the 8-mm data. Error bars represent the standard error of the mean.

5 S. Marcos and R. Navarro Vol. 14, No. 4/April 1997/J. Opt. Soc. Am. A 735 value in the y axis). The effect gets stronger with increasing pupil size. In fact, for an 8-mm pupil there is a high linear correlation (r ) between the cutoff frequency f c and the FWHM of the SC function w: f c w (3) In summary, the resolution attained with OSI depends on the subject, and this dependence is highly correlated with the width of the SC function. The subject who presented the flattest SC function (lowest value) reached the highest OSI resolution, which approached the theoretical value, whereas the lowest resolution was attained by the subject with the most peaked SC function (highest value). Equation (3) represents a phenomenological expression that is interesting from a practical point of view: It can give us an idea a priori about the resolution potentially attainable by OSI for one specific subject whose SC function is known. The fact that the SCE imposes a limit to the resolution of OSI supports the idea that most of the light that we are collecting in our images comes from the photoreceptor layer, since the directionality of the light absorbed (and reflected) by the cones is the origin of the SCE. In addition, we should note that we are analyzing the directional effects of the reflected light, whereas the psychophysical SCE accounts for the directional effects of the absorbed light. Reflectometric measurements 23,24 of the directionality of the light reflected back from the fundus show that they are closely related to the psychophysical SCE, although the exact relationship of the two measurements is not clear yet, 25,26 and our results agree with those findings. Our conclusion is that the chance of resolving one individual s cone mosaic seems not to rely on the apparatus itself [for an 8-mm pupil the theoretical cutoff spatial frequency is 257 cycles per degree (c/deg), high enough to resolve the most densely packed cone mosaic] but depends on the directionality alignment of the cones of the subject (related to the SCE) along with the density of their distribution. One remaining question is whether these two features (alignment and density) are somehow related, which is likely. Burns et al. 27 recently presented reflectometric SCE data showing that the widths of the curves varied systematically with retinal location, being broader at the foveal center and becoming narrower with increasing eccentricity. They argued that the reason for such variations in directionality lies in the morphology and spacing of the foveal cones. We found similar evidence of a relationship between cone packing and directionality: The subject with the narrowest SC function (MA) is the one with the lowest characteristic cone spatial frequency. 8 On the other hand, the subject with the broadest SC function (MR) is the one with presumably the highest characteristic cone spatial frequency [MR is the subject with the highest visual acuity (see below), with an unusually high photopigment density difference 28 and is the one whose cone distribution could not be measured]. In addition, the fact that the directionality of the light reflected off the retina depends on the cone structural parameters and packing 27 (and thus on the size of the illumination spot and eccentricity) makes the OSI cutoff frequency not be a univocal parameter, as it would be if strictly given by the eye s optics; on the contrary, it is object dependent. In conclusion, the OSI resolution appears to decrease under the influence of the SCE. In particular, for an 8-mm pupil there is a clear linear relationship between the cutoff frequency attained in OSI and the FWHM of the SC function. This result explains the intersubject variability observed in the resolution and its departure (especially for certain subjects) from the theoretical cutoff frequency. The results also suggest a possible relationship between cone density and the spread of the SC function. This is in principle good news in the sense that there would be higher resolution for subjects with cones more densely packed. It is surprising, though, that we found no evidence of a ring in the average power spectra of the subject with the highest OSI cutoff frequency (230 c/deg). A possible reason could be irregularity in the cone array that would smear the ring, or perhaps other frequencies that correspond to other structures are present, and they could mask the ring. 3. DOES THE NYQUIST SPATIAL FREQUENCY OF THE CONE MOSAIC PREDICT VISUAL ACUITY ACROSS THE FOVEA? There are a number of studies in the literature that attempt to asses which processes underlie the visual resolution in the human eye and, in particular, their variation with retinal eccentricity Following the Shannon sampling theorem, 38 the highest spatial frequency that can be transmitted to further stages of the visual system is determined by the Nyquist spatial frequency 39,40 (half the characteristic spatial frequency of the cone mosaic). The eye s optics play a fundamental role in attenuating or even filtering out high frequencies (see Fig. 1) and therefore can also limit resolution. Green 34 compared the regional variations in visual acuity, obtained for detection of both standard gratings and interference fringes projected on the retina, with the anatomical resolving power (Nyquist frequency) estimated from Oesterberg s data. 1 Much more recently, Hirsch and Curcio 35 compared human acuity data available in the literature (obtained from various methods: Snellen letters, 41 Landholt C, 42 and gratings 43,44 ) with the anatomical Nyquist limits determined from their histological preparations. 27 Anderson et al. 36 also compared psychophysical visual resolution (for chromatic and achromatic stimuli), with the spatial resolution imposed by the optics of the eye, 45 by Nyquist frequencies from anatomical estimates of cone density, 2 and by ganglion cells. 46 It seems widely established that, at retinal eccentricities beyond the human foveal center and up to 5 deg, the retinal cone mosaic ultimately determines the limits on visual resolution for subjects with good optics. Cone density varies significantly among individuals, particularly at the foveal center. 2,3 Therefore a direct correlation of visual acuity and cone spacing in the very same eye would overcome the uncertainty caused by intersubject variability. To our knowledge, the only comparison between topographical data of the cone mosaic

6 736 J. Opt. Soc. Am. A/Vol. 14, No. 4/April 1997 S. Marcos and R. Navarro and visual acuity in the same subject was made by Curcio et al. 3 They compared the clinical value of visual acuity of one single donor patient with the Nyquist frequency of his cone mosaic, later analyzing a preparation of the postmortem retina. After the development of objective techniques for determining the cone distribution in the living human eye, 7,8 it is possible to carry out this comparison in vivo in normal subjects. In the following, we present measurements of detection and orientation discrimination thresholds across the fovea, which we compare with our data of Nyquist sampling frequencies (half the characteristic cone spatial frequencies estimated through OSI 8 ) in the same subjects. This direct comparison will allow us to evaluate the dominant factors limiting visual resolution within the fovea: 1. If performance is similar for both detection and discrimination tasks, and the measured visual acuity is lower than the cone Nyquist frequency, then the optics are likely to be attenuating below threshold the contrast for frequencies close to the Nyquist limit and therefore to be limiting visual resolution. 2. If performance for detection and discrimination tasks is similar, and the measured visual acuity basically agrees with the cone Nyquist frequency, that will imply that both optics and cone sampling are perfectly tuned: Frequencies up to the cone Nyquist frequencies are allowed to pass to further stages of the visual system, whereas the contrast for frequencies susceptible to aliasing are attenuated below the threshold. 3. If acuity for a detection task is higher than the cone Nyquist frequency (thus exceeding acuity for discrimination, which can never be supra-nyquist), the presence of aliasing is indicated. In this case, the optics are not filtering enough, and only discrimination acuity will yield a good estimate of visual resolution. If discrimination acuity matches the cone Nyquist frequency, resolution will be cone sampling limited; if it is lower, visual resolution will be limited by the spacing of underlying visual neuron arrays. A. Visual Acuity Across the Fovea We measured detection and orientation discrimination thresholds at low eccentricities across the fovea, for sinusoidal gratings subtending 0.25 in diameter. Performance of the detection task was measured for the four observers. Performance for the orientation discrimination task was measured as a control experiment, for one of the subjects (SM), yielding the same results as for the detection task. For this purpose we generated high-resolution sinusoidal gratings on a gamma-corrected CRT. We modulated only the green gun of the color CRT in order to reduce the influence of the eye s chromatic aberration 47 and to make the measurements more comparable with our former experiments. The grating frequency was kept small compared with the display resolution to prevent the MTF of the display, which had been calibrated previously, from affecting the contrast of the gratings. 48 The mean luminance of the stimuli was within the range cd/m 2. A circular mask in front of the CRT limited the size of the field to 0.25, as viewed from a distance of 12.6 m. This small field permitted a high localization of the stimuli, which made it possible to sample different areas within the fovea. For the range of frequencies measured, this small field always contained a sufficient number of cycles to guarantee a good visual response. The four subjects who had participated in the previous experiments were tested. They viewed the stimuli monocularly (same eyes as used in the speckle interferometry experiment), with natural accommodation and natural pupil sizes (between 4 and 5 mm in diameter, depending on the subject). The subjects were carefully optically corrected in order to ensure optimal visual performance. The appropriate correction was found by using conventional optotype charts (Bailey Lovie chart, and clock dial chart for astigmatism), which were presented on the same CRT display under the same conditions (e.g., green photocathode, at the same viewing distance). For the detection tasks, a two-alternative, forced-choice procedure was implemented. Each trial consisted of two 500-ms intervals marked by auditory cues. One of the intervals contained a sinusoidal stimulus of random spatial frequency (among five preset possible spatial frequencies), and the nonsignal interval was a uniform patch of the same mean luminance as the target grating. The gratings were vertically oriented. Subject SM also repeated the experiment (at 0 and 1 ) for horizontally oriented gratings. Between trials, a cross-shaped target was presented that helped to keep the subject s accommodation. No feedback was given to the subject about the accuracy of his or her response, although the subjects did some practice runs before the actual experiment. At least 100 forced-choice trials were done to obtain the rate of correct responses for each spatial frequency. Grating acuity for the detection task was determined for the same retinal eccentricities as in the OSI experiment (0, 0.25, 0.5, and 1 ). For the off-axis measurements the subject fixated to a green LED displaced along the horizontal meridian. For the orientation discrimination task, a twoalternative, forced-choice paradigm with a single trial per presentation was used in which each stimulus trial contained a sinusoidal grating, oriented either vertically or horizontally. Trials were again separated by cross targets and auditory tones. The subject s task was to decide which orientation was present on each trial. The spatial frequencies (among five preselected spatial frequencies) and the orientation of the gratings were presented randomly with equal probability and at least 100 trials per condition were conducted. Orientation discrimination performance was measured for subject SM at 0 and 1 foveal eccentricities. Psychometric functions were obtained for all cases and fitted to Weibull functions 49 of the form P f exp f/a b, (4) where P represents percent correct, f is the spatial frequency, a is the spatial frequency of the threshold (acuity), and b is the slope of the curve in log units. As an example, Fig. 5 shows the psychometric curves for the detection task (vertical gratings) obtained for subject MA at the four eccentricities tested. Figure 6 shows psychometric curves for detection and orientation tasks

7 S. Marcos and R. Navarro Vol. 14, No. 4/April 1997/J. Opt. Soc. Am. A 737 our case is possibility 1 or 2 by checking whether the detection acuity is lower than or equal to the cone Nyquist frequency. Fig. 5. Psychometric functions for detection of sinusoidal vertical gratings at four foveal eccentricities for subject MA. Each point is the result of at least 100 trials in a two-alternative, forced-choice procedure. Smooth curves are fits to Weibull functions. Fig. 6. Psychometric functions for orientation discrimination (circles) compared with detection of vertical (squares) and horizontal (triangles) gratings for foveal eccentricities 0 and 1 for subject SM. Thresholds are similar for the three tasks. obtained for subject SM at two foveal eccentricities. The results of the control experiment shown in Fig. 6 indicate that performance for the resolution and detection tasks is basically the same within the range of eccentricities tested. For example, the detection acuity (mean of detection acuity for horizontal and vertical gratings) for subject SM at 0 was 41 c/deg, whereas the orientation discrimination acuity (measured in the same experimental session) was 42 c/deg. For the same subject at 1, the mean detection acuity was 26 c/deg and the orientation discrimination was 27 c/deg. The differences are of the order of the sensitivity of the method (i.e., not significant). This experiment shows that the previous finding that performances for detection and discrimination tasks are identical at the foveal center 50 also holds for small eccentricities (at least up to 1 ). This observation eliminates possibility 3 from the list at the beginning of the section: that the eye s optics must be filtering out frequencies above the Nyquist frequency, avoiding the presence of aliasing. Thus detection and discrimination tasks can be used equivalently to estimate visual acuity within the region under study (0 1 ). We can investigate whether B. Comparison of Nyquist Frequency and Visual Acuity in the Same Subjects In Fig. 7 the visual acuity data are compared with cone Nyquist frequencies, as a function of eccentricity. Filled symbols represent the Nyquist frequency of the cone mosaic obtained objectively through OSI, and open symbols correspond to the visual acuity results. Curves represent the average over subjects, for Nyquist frequency (solid) and visual acuity (dashed). First, it can be noticed that there is a reasonable agreement between the two sets of results for individual subjects. For example, MA, the subject with the lowest Nyquist frequency, also presents the lowest visual acuity. Subject MR, whose cone frequency could not be measured through OSI for eccentricities lower than 1, showed the highest visual acuities (53 c/deg at the foveal center). The two sets of data decrease with retinal eccentricity at the same rate and show the same intersubject differences. In addition, the match between numerical values is quite reasonable, mainly for intermediate eccentricities. Second, we observe that the acuity data typically lie slightly below Nyquist frequencies. This again supports that there is no aliasing and thus that detection acuity is a good estimate of visual acuity. There are only two cases (MA and RN at 0.25 ) in which Nyquist frequency slightly exceeds detection acuity. This would suggest, in principle, possible aliasing, but the differences are too small to be significant. At the foveal center and at the more eccentric location for subject MA, visual acuity is significantly lower than the Nyquist frequency (case 1), suggesting the presence of other factors limiting resolution. The results for the foveal center will be further discussed in the next subsection. For intermediate foveal Fig. 7. Comparison of Nyquist frequency of the cone mosaic and visual acuity, for the four subjects, as a function of foveal eccentricity.

8 738 J. Opt. Soc. Am. A/Vol. 14, No. 4/April 1997 S. Marcos and R. Navarro eccentricities, we found a good agreement between Nyquist frequencies and visual acuities, which suggests case 2; i.e., there is a close match between the cone Nyquist frequency and the highest frequency for which the optics of the eye will attenuate contrast just above the threshold. The contrast for higher frequencies is attenuated below the threshold, precluding aliasing. In conclusion, although many studies have previously been carried out to determine whether optical, receptoral, or postreceptoral factors limit spatial resolution (acuity) in human vision across the visual field, to our knowledge the results have never before been compared with the in vivo foveal cone spacing measurements. All previous studies used anatomical data to account for the limits imposed by the cone lattice, and thus individual variability in cone density potentially imposed an important uncertainty in their conclusions. Our results agree with the common thought that within the fovea, matched sampling occurs 51 except in the central fovea, where, as we will discuss below, the optical quality limits visual resolution significantly below the Nyquist frequency (at least for our observers). C. Comparison with Reported Interferometric Contrast Sensitivity We want to emphasize that our psychophysical resolution data were obtained through the natural optics of the eye as were the results in the studies by Hirsch and Curcio, 35 Anderson et al., 36 and Galvin and Williams. 37 The good match between Nyquist frequency and visual acuity outside the foveal center suggests that the discrimination task is nearly sampling limited but that the eye s optics attenuate the contrast of the gratings for spatial frequencies close to and higher than the Nyquist frequencies to a value below the threshold and thus aliasing is not perceived. This is supported by the fact that detection and discrimination tasks give the same result and that detection acuity does not exceed the Nyquist frequency (except in two nonrelevant cases). On the contrary, the disagreement between Nyquist frequency and visual acuity at the foveal center suggests that the optics of the eye significantly attenuate the contrast of Nyquist spatialfrequency gratings to a value below the threshold, limiting the resolution at the foveal center. For both subjects MA and RN, visual acuity is lower than Nyquist frequency by 15%. In Fig. 8 we compare contrast modulation produced by the optical MTF (see label on the right y axis) with interferometric (or neural) contrast sensitivity data by Williams 31 (see label on the left y axis). The shaded area represents the range of contrast sensitivity data from his group of six subjects. The MTF s correspond to a 5-mm pupil (see Fig. 1), which was approximately the pupil diameter during the visual acuity measurements. We have also overlaid the results of visual acuity and Nyquist frequency (foveal center) for subjects RN and MA. Resolution threshold should be predicted by the intersection between the interferometric sensitivity function and the contrast attenuation by the optical MTF. The contrast of gratings with lower spatial frequencies will be above the threshold, but for higher frequencies the contrast would be attenuated by the optics of the eye below the threshold, Fig. 8. Possible explanation for the disagreement between Nyquist frequency and visual acuity at the foveal center. The shaded area represents the range of interferometric contrastsensitivity data for six subjects from Williams s study. 31 Solid and dashed curves represent the inverted double-pass MTF s for 5-mm pupils for subjects RN and MA, respectively, in log scale (displayed on the left y axis). Open vertical bars indicate visual acuity and solid bars the Nyquist frequency for subjects RN and MA. and consequently these frequencies would not be resolved. Subject RN s visual acuity suggests that the optical MTF crosses an interferometric sensitivity function lying on the upper part of the shaded band; i.e., the neural sensitivity for this subject would be close to that of the most sensitive subject of the group from Williams s study. 31 For this subject the optics attenuate the contrast of gratings at relatively high spatial frequencies, but for the Nyquist frequency (47 c/deg) the contrast is far below the neural threshold. For subject MA visual acuity is close to but slightly lower than the intersection of the MTF and the lower bound of the interferometric contrast sensitivity data from Williams s study, indicating that this subject would be slightly less sensitive than the subject from that study with the lowest interferometric sensitivity. In conclusion, it seems that at the foveal center the resolution is limited by the combined effect of optical factors that attenuate the contrast and retinal factors that limit neural sensitivity, so that the optical modulation lies below the neural threshold. To investigate the role of the optical MTF further, we repeated the detection task for subjects MA and RN with smaller natural pupil diameters (3 mm), for which the MTF should be closer to optimal. 29 Our goal was to test whether a better MTF would help to improve visual resolution. The visual acuity for subject RN displayed a significant improvement (from 47 to 50 c/deg, the difference between visual acuity and Nyquist frequency now being reduced to 9%), as we would expect for an improved MTF and a high neural contrast sensitivity function. In contrast, the visual acuity for subject MA remained unchanged (40 c/deg), not being affected by the improvement in the optical quality, suggesting the dominance of neural (contrast sensitivity function) factors over the optical MTF, which does not seem to be critical at this spatial frequency. 4. CONCLUSIONS The resolution achieved in ocular speckle interferometry is highly correlated with the width of the Stiles Crawford

9 S. Marcos and R. Navarro Vol. 14, No. 4/April 1997/J. Opt. Soc. Am. A 739 function. Therefore the resolution of the method seems to depend not on the apparatus but rather on the object itself, since the Stiles Crawford effect is a consequence of the structural properties of the cone mosaic. Nyquist frequency, objectively determined for a group of subjects, has been compared with visual resolution in the same individuals and foveal eccentricities. We have confirmed that within the fovea (except at the center), there is fine tuning between optical quality and potential resolution of the cone mosaic: There is neither undersampling nor a significant loss of resolution caused by the optics. However, at the foveal center the optics attenuate the contrast of frequencies close to the Nyquist limit, thus reducing visual resolution. ACKNOWLEDGMENTS This research was supported by the Comisión Interministerial de Ciencia y Tecnología, Spain, under grant TIC We are grateful to M. Angeles Losada and Maurice Rynders, who acted as subjects in the experiments. We thank M. Angeles Losada also for her inestimable help in the visual acuity experiment and Maurice Rynders for a review of the English. We also thank Ann Elsner and Steve Burns for helpful discussions. *Present address, Schepens Eye Research Institute, 20 Staniford Street, Boston, Massachusetts susanna@vision.eri.harvard.edu. REFERENCES 1. G. Oersterberg, Topography of the layer of rods and cones in the human retina, Acta Ophthalmol. (Suppl.) 6, (1935). 2. C. A. Curcio, K. R. Sloan, O. Packer, A. E. Hendrickson, and R. E. Kalina, Distribution of cones in human and monkey retina: individual variability and radial asymmetry, Science 236, (1987). 3. C. A. Curcio, K. R. Sloan, R. E. Kalina, and A. E. Hendrickson, Human photoreceptor topography, J. Comp. Neurol. 292, (1992). 4. D. R. Williams, Topography of the foveal cone mosaic, Vision Res. 28, (1987). 5. P. Artal and R. Navarro, High-resolution imaging of the living human fovea: measurement of the intercenter cone distance by speckle interferometry, Opt. Lett. 14, (1989). 6. J. C. Dainty, Stellar speckle interferometry, in Laser Speckle and Related Phenomena, 2nd ed., J. C. Dainty, ed. (Springer-Verlag, Berlin, 1984), pp D. T. Miller, D. R. Williams, G. M. Morris, and J. L. Liang, Images of cone photoreceptors in the living human eye, Vision Res. 36, (1996). 8. S. Marcos, R. Navarro, and P. Artal, Coherent imaging of the cone mosaic in the living human eye, J. Opt. Soc. Am. A 13, (1996). 9. J. Santamaría, P. Artal, and J. Bescós, Determination of the point-spread function of human eyes using a hybrid optical digital method, J. Opt. Soc. Am. A 4, (1987). 10. R. Navarro, P. Artal, and D. R. Williams, Modulation transfer of the human eye as a function of retinal eccentricity, J. Opt. Soc. Am. A 10, (1993). 11. T. Mavroidis, J. C. Dainty, and M. J. Northcott, Imaging of coherently illuminated objects through turbulence: planewave illumination, J. Opt. Soc. Am. A 7, (1990). 12. P. Artal, S. Marcos, R. Navarro, and D. R. Williams, Odd aberrations and double-pass measurements of retinal image quality, J. Opt. Soc. Am. A 12, (1995). 13. S. Marcos and R. Navarro, Imaging the foveal cones in vivo through ocular speckle interferometry: theory and numerical simulations, J. Opt. Soc. Am. A 13, (1996). 14. H. Metcalf, Stiles Crawford apodization, J. Opt. Soc. Am. 55, (1965). 15. F. W. Campbell, The depth of field of the human eye, Opt. Acta 4, (1957). 16. G. E. Legge, K. T. Mullen, G. C. Woo, and F. W. Campbell, Tolerance to visual defocus, J. Opt. Soc. Am. A 4, (1987). 17. F. W. Campbell and D. G. Green, Optical and retinal factors affecting visual resolution, J. Physiol. (London) 181, (1965). 18. W. N. Charman, Effect of refractive error in visual tests with sinusoidal gratings, Br. J. Physiol. Opt. 33, (1979). 19. M. Ye, A. Bradley, L. N. Thibos, and X. X. Zhang, The effect of pupil size on chromostereopsis and chromatic diplopia: interaction between the Stiles Crawford effect and chromatic aberrations, Vision Res. 32, (1992). 20. M. C. Rynders, B. Lidkea, W. Chisholm, and L. N. Thibos, Statistical distribution of foveal transverse chromatic aberration, pupil centration, and angle in a population of young adult eyes, J. Opt. Soc. Am. A 12, (1995). 21. W. S. Stiles, The luminous efficiency of monochromatic rays entering the eye pupil at different points and a new color effect, Proc. R. Soc. London Ser. B 123, (1937). 22. R. A. Applegate and V. Lakshminarayanan, Parametric representation of Stiles Crawford functions: normal variation of peak location and directionality, J. Opt. Soc. Am. A 10, (1993). 23. J. M. Gorrand, Directional effects of the retina appearing in the aerial image, J. Opt. (Paris) 16, (1985). 24. G. J. Van Blockland, Directionality and alignment of the foveal photoreceptors assessed with light scattered at small angles from the human fovea, Vision Res. 26, (1986). 25. J. M. Gorrand and F. C. Delori, A reflectometric technique for assessing photoreceptor alignment, Vision Res. 35, (1995). 26. S. A. Burns, S. Wu, F. Delori, and A. E. Elsner, Direct measurement of the human-cone-photoreceptor alignment, J. Opt. Soc. Am. A 12, (1995). 27. S. A. Burns, S. Wu, and A. E. Elsner, Variations in photoreceptor alignment across the fovea, Invest. Ophthalmol. Visual Sci. Suppl. 37, 448 (1996). 28. S. Marcos, R.-P. Tornow, A. E. Elsner, and R. Navarro, Foveal cone spacing and cone photopigment density difference: objective measurements in the same subjects, Vision Res. (to be published). 29. F. W. Campbell and D. G. Green, Optical and retinal factors affecting visual resolution, J. Physiol. (London) 181, (1965). 30. D. R. Williams, Aliasing in human foveal vision, Vision Res. 25, (1985). 31. D. R. Williams, Visibility of interference fringes near the resolution limit, J. Opt. Soc. Am. A 2, (1985). 32. L. N. Thibos, F. E. Cheney, and D. J. Walsh, Retinal limits and the detection and resolution of gratings, J. Opt. Soc. Am. A 4, (1987). 33. M. S. Banks, W. S. Geisler, and P. J. Bennet, The physical limits of grating visibility, Vision Res. 27, (1987). 34. D. G. Green, Regional variations in the visual acuity for interference fringes on the retina, J. Physiol. (London) 207, (1970). 35. J. Hirsch and C. A. Curcio, The spatial resolution capacity of human foveal retina, Vision Res. 29, (1989). 36. S. J. Anderson, K. T. Mullen, and R. F. Hess, Human peripheral spatial resolution for achromatic and chromatic

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