Indrasen Bhattacharya: Difference between revisions
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== References == | == References == | ||
[1] | [1] M. Born and E. Wolf, Principles of Optics, (Cambridge University Press, Cambridge, 2002) | ||
[2] | [2] C. Van Der Avoort, J. J. M. Braat, P. Dirksen, A. J. E. M. Janssen, "Aberration retrieval from the intensity point-spread function in the focal region using the extended Nijboer-Zernike approach", J. Mod. Opt., 52, 12, 2005, pp. 1695-1728 | ||
[3] | |||
Revision as of 14:42, 7 December 2020
Introduction
Aberrations in the wavefront profile degrade the resolving power of imaging systems. It is highly desirable to measure and compensate any aberrations present in an imaging system. Such imaging systems may include microscopes, telescopes, lithography steppers, iPhone cameras, AR/VR goggles as well as the human eye. We shall consider the more traditional case of optical microscopes and lithography steppers in this work, but we do not rule out extensions to other imaging systems. The point spread function (PSF) at the image plane determines the resolving power of microscopes and the feature size in lithography systems. It is important to have a narrow PSF that is preferably diffraction limited by the numerical aperture (NA) of the imaging system. Wavefront aberrations reduce the sharpness of the PSF and lead to undesirable asymmetries and artifacts. The wavefront aberrations are typically expressed in an orthogonal radial basis on the unit circular pupil called the Zernike polynomials. The Zernike polynomials, together with azimuthal sinusoids, form a complete basis on the unit circle: any 2-dimensional phase function can be expressed as an appropriate linear combination of these polynomials. The weighting factors of the Zernike polynomials are termed as Zernike coefficients. Since any wavefront aberration profile can be fitted to a series of Zernike coefficients: the pupil function and Zernike coefficients are equivalent representations. Conveniently, the Zernike polynomials can be interpreted as specific physical aberrations such as spherical aberration, coma, astigmatism, trefoil and others, which makes the Zernike coefficients an intuitive framework to work with.
It is conceptually straightforward to calculate the point spread function from the wavefront profile: they are related by a Fourier transform where the aberrations occur in the phase of the pupil function. However, in this case we are interested in determining what is wrong with the system based on how the PSF appears. This is the inverse problem: determining the Zernike coefficients from the aberrated point spread function. It is important to explicitly state the inputs and outputs of the computational procedure we are hoping to undertake. If the wavefront aberration is given by , the point spread function can be expressed as:
Analytical Forward Model
Verification of ENZ Forward Model
Inverse Problem Solution
Results
Limitations and Future Work
References
[1] M. Born and E. Wolf, Principles of Optics, (Cambridge University Press, Cambridge, 2002)
[2] C. Van Der Avoort, J. J. M. Braat, P. Dirksen, A. J. E. M. Janssen, "Aberration retrieval from the intensity point-spread function in the focal region using the extended Nijboer-Zernike approach", J. Mod. Opt., 52, 12, 2005, pp. 1695-1728
[3]
Appendix
The computational implementation for this project can be found on this iPython notebook: Code_okkeun.zip