Ocular Shack-Hartmann sensor resolution. Dan Neal Dan Topa James Copland

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Ocular Shack-Hartmann sensor resolution Dan Neal Dan Topa James Copland

Outline Introduction Shack-Hartmann wavefront sensors Performance parameters Reconstructors Resolution effects Spot degradation Accuracy Dynamic range Wavefront sampling Conclusions 2

A practical Shack-Hartmann wavefront sensor is based on a microlens array Lenslet array f Detector array Incoming Light Beam Focal Spot Positions x ij Distorted wavefront Wavefront Analysis 1. Locate position of focal spot x ij 2. Compute wavefront slope 3. Recover wavefront φ j by integrating. x x f = φ x i ij io j Photomicrograph of discrete level lens array fabricated in fused silica using binary optics technology; lenslets are 25 µm in diameter. 3

The wavefront analysis process consists of three steps Find the focal spot centroids Each spot assigned unique Area of Interest (AOI) Typically uses a thresholded centroid algorithm Errors from pixelization, camera noise, and spot Strehl ratio Compare to reference to produce slope map Absolute or relative reference acquired during instrument calibration Other instrument calibrations may be taken into account Magnification Telescope focus Reconstruct wavefront Zonal: point by point integration of 2D slope map Modal: Fit to polynomials such as Zernike or Taylor + x y 4

WFS design parameters Lenslet Fresnel number: 2 d N Fr = fλ d fλ d Focal spot size: ρ = or ρ = d N Fr f Angular dynamic range: Total wavefront dynamic range: θ max d / 2 ρ = f wmax = λ Nl N 4n Fr d ρ 5

Ocular SH WFS system Guide star system Injected spot Measured scattered light Measured by Shack-Hartmann wavefront sensor Resolution limited by Lenslet array Retina spot size Camera sensitivity/injected power Additional elements: Fixation target Alignment camera Optomechanics/cover Chin rest/xyz base Electronics Software Etc., Etc. 6

Complete Ophthalmic Analysis System Complete system for optical metrology of the eye High resolution/high dynamic range wavefront sensor Variable position optical system uses active optics to maximize performance Experiments with laser vision correction are underway The COAS G2 is already a second generation product 7

COAS Measurement results Sphere: -12 to +5 d Cyl: 5 d Measurement time: 5 sec autorefract, 13 ms measurement Zernike polynomial to arbitrary order Accuracy: +/-.1 diopter 8

Wavefront sensor image from Human Eye 9

Why does the measurement resolution matter? Spot degradation For larger lenslets, the wavefront aberration across the lenslet may be significant With aberration, the focal spots are degraded Poor focal spots lead to inaccurate measurements, or perhaps no measurement at all This ultimately limits the dynamic range Smaller lenslets intercept a smaller portion of the wavefront aberration Dynamic range Depends on number of lenslets, and lenslet Fresnel number Larger lenslets have reduced response for rapidly varying aberrations Accuracy Each slope measurement determined from small, high quality focal spot More points in reconstructor lead to higher accuracy for each term Rapidly varying features may be accurately measured 1

The SHWFS wavefront is a piecewise linear approximation Shack-Hartmann sensors measure only average tilt Focal spot irradiance distribution depends upon total incident wavefront Low resolution SHWFS measurements tend to UNDERPREDICT the actual wavefront Residual WFE error is the RMS difference between the linear approximation and the actual wavefront 2 1.5 1.5-1 -.5.5 1 2 1.5 1.5-1 -.5.5 1 11

Focal spot degradation Small lenslets Sample small portion of the wavefront Sampled wavefront matches well to linear approximation Large lenslets May have large residual wavefront error Reduced Strehl may affect centroid location 1.8.6.4.2-2 -1 1 2-2 -1 1 2 12

Residual wavefront error depends strongly on resolution Linear approximation fit error In practice, this fit error reduces the lenslet Strehl ratio RMS wavefront error HwavesL.8.6.4.2 Residual RMS wavefront error 1 2 3 4 Resolution 13

Excellent images can be obtained from a normal eye Good focal spots can usually be obtained even at low resolution Focus/cylinder result in pattern spread Higher order terms usually have limited wavefront error 21 µm resolution 44 X 33 samples 3.8 mm pupil 25 µw input power 4 µm resolution 18 x 18 samples 6.8 mm pupil 6 µw input power Salmon et al, JOSA A 1998 14

With high resolution, good focal spots are obtained even from a badly damaged eye Harlow 5 OS 21 µm resolution RK patient with poor correction Damaged regions scatter light badly Patient has poor BCVA 4 3 2 1 1 2 3 4 15

However, with lower resolution, the focal spots are degraded 4 µm lenslets 6.5 mm pupil 16 X 16 samples Poor focal spots are difficult to locate Blurry, fuzzy spots give inaccurate results Strehl reduction reduces signal to noise 16

You do need more incident power with more focal spots Scattered light is collected by smaller area lenslets Spot size should be similar for good accuracy Improved Strehl keeps light level high even for aberrated systems Near IR measurement improves patient comfort Extremely accurate lenslet array with 1% fill factor maximizes the efficiency Resolution (7 mm pupil) 33 X 33 18 X 18 1 X 1 Focal spots 8 254 78 Lenslet area (µm) 21 X 21 4 X 4 7 X 7 Power (µw) 22 But not much! 6 2 17

With higher resolution, you get better dynamic range AND accuracy Dynamic range For smaller lenslets, the focal length is shorter for the same spot size Larger angular dynamic range per lenslet More focal spots divide the aberration into smaller samples Spots are unlikely to collide with neighbor because they measure similar wavefronts Accuracy Strehl ratio is high, even for aberrated pupils Uniform brightness gives better centroids Short focal length is less important than centroid estimation error Larger number of samples approximate wavefront better Reconstructor error is reduced 18

There are two basic types of reconstructor Modal Fits to polynomials Typically Zernikes Polynomials have optical meanings Quantitative understanding of results Expansion yields point by point wavefront map Interpolation functions in place Zonal Numerical integration of slope grid Yields point by point phase Z 4-4 Z 4-2 Z 4 Z 4 2 Z 4 4 Further fitting needed to produce sphere, cylinder, coma or other terms Produces high spatial frequency results 19

Zernike polynomials allow quantitative display of the data RK patient 4 th Order Zernike reconstructor High RMS values and odd mix of higher orders 4 th order fit does not really resolve wavefront Magnitude (um) Magnitude (um) Harlow OD 4 3 2 1 3-1 4 5 6 7 8 9 1 11 12 13 14 15 16-2 -3-4 -5 Zernike Term Harlow OS 4 3 2 1 3-1 4 5 6 7 8 9 1 11 12 13 14 15 16-2 -3-4 -5 Zernike Term 2

For a normal eye, high resolution may not be needed Normal eye Low higher order terms Small pupil Zonal and Modal produce similar results Total wavefront: P-V 16.3 µm Total wavefront: P-V 1.4 µm 21

Unless you re interested in the detailed structure Tear film Scratches Edema Unusual structures 1.94 µm P-V Various wavefront maps with 4 th order terms removed 22

There are also many abnormal eyes RK patients Large pupils LASIK PRK Damaged Wrinkled flap Scratched/edema Dry eye Kerataconus OD: 2 25, 14:17:52 1 1-1 -2-1 1 1-1 Slope map Wavefront map (sph/cyl subtracted) 23

A pure Zernike viewed at different resolutions.97 Simulated RK patient Perfect reconstruction 1 1-1 -11 1-1 -.97.81.54.13 -.81 -.54 -.13 24

Conclusions High resolution ocular wavefront sensing is a desirable and practical solution High Strehl ratio spots, even with aberrated systems Safe, comfortable power levels maintained Larger aberrations may be measured, more accurately Better focal spots Larger dynamic range and accuracy Reduced fitting error Fine detail allows observation of important phenomena 25

WFS Precision Zero Tilt Centroid Estimation Error σ 2 j, N REF ( ρi ρi ) i= 1 N Tilt precision: = Wavefront precision (RMS) 2 θ RMS = σ f σ = M j = σ 1 j, M Per lenslet Total across aperture w l =θ RMS d Tot l w K Rw = 26

WFS Accuracy Pixelization Error Threshold dependent Depends strongly on pixels/focal spot Is sometimes limiting performance metric Pixelization factor Kp RMS Tilt (mr).4.4.3.3.2.2.1.1. WF Slope, 42 X 42 325 nm Thresh 4, Centroid DVArms X DVArms Y -.5..5 1. 1.5 2. 2.5 Tilt ( mr) 27

WFS Accuracy, cont Wavefront error 42 x42 Thresh 4 Wavefront error 2.5E-2 WFE P-V Phs 3. PV Wavefront error (um) 2.E-2 1.5E-2 1.E-2 5.E-3 WFE rms Phs Reconst Factor 2.5 2. 1.5 1..5 RMS Reconstructor factor K p depends on type and options for reconstructor.e+ -5.E- 1.E+ 5.E- 1 1.E+ Tilt (mr) 1.5E+ 2.E+. 2.5E+ Total wavefront error is given by: w RMS = K K θ r p RMS d 28

Typical WFS design process Specify key design parameters Lenslet size in pixels Lenslet Fresnel number Total size of array Estimate performance parameters Angular dynamic range, θ max Total wavefront dynamic range (n=1, 2) Precision: Scale σ from measurements to new design point Compute θ rms, and w rms,l Accuracy Compute W rms,tot using K p and K r 29

Measuring WFS performance Precision 1 Frame statistical average of focal spots Average RMS Tilt values produce θ rms f σ =θ rms Accuracy Vary tilt, focus or other parameter Measure residual WFE Dynamic range Increase tilt while monitoring spot centroid Dynamic range exceeded when non-linearity is induced 3