Nonparaxial vector-field modeling of optical coherence tomography and interferometric synthetic aperture microscopy

Davis, Brynmor J.; Schlachter, Simon C.; Marks, Daniel L.; Ralston, Tyler S.; Boppart, Stephen A.; Carney, P. Scott

doi:10.1364/josaa.24.002527

Cited by 59 publications

(88 citation statements)

References 26 publications

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“…More recently, interferometric detection of optical frequencies has enabled high-resolution imaging of biological samples through holography and optical coherence tomography (OCT) [4][5][6]. These techniques, while useful in their own right, have also benefitted from the introduction of various computed optical interferometric techniques [7][8][9][10]. The ability for these techniques to exactly correct defocus and optical aberrations means that near diffractionlimited imaging over larger depth ranges and with simpler optical designs is possible.…”

Section: Introductionmentioning

confidence: 99%

Stability in computed optical interferometric tomography (Part I): Stability requirements

Shemonski¹,

Adie²,

Liu³

et al. 2014

Opt. Express

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Abstract:As imaging systems become more advanced and acquire data at faster rates, increasingly dynamic samples can be imaged without concern of motion artifacts. For optical interferometric techniques such as optical coherence tomography, it often follows that initially, only amplitude-based data are utilized due to unstable or unreliable phase measurements. As systems progress, stable phase maps can also be acquired, enabling more advanced, phase-dependent post-processing techniques. Here we report an investigation of the stability requirements for a class of phase-dependent post-processing techniques -numerical defocus and aberration correction with further extensions to techniques such as Doppler, phase-variance, and optical coherence elastography. Mathematical analyses and numerical simulations over a variety of instabilities are supported by experimental investigations.

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Section: Introductionmentioning

confidence: 99%

Stability in computed optical interferometric tomography (Part I): Stability requirements

Shemonski¹,

Adie²,

Liu³

et al. 2014

Opt. Express

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show abstract

“…1 and 2. However, due to the double-pass imaging geometry, this system PSF, hðx; y; z; kÞ ∝ g 2 ðx; y; z; kÞ, is a product of the (identical) illumination and collection beams (44,45).…”

Section: Resultsmentioning

confidence: 99%

Computational adaptive optics for broadband optical interferometric tomography of biological tissue

Adie¹,

Graf²,

Ahmad³

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

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189

157

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Aberrations in optical microscopy reduce image resolution and contrast, and can limit imaging depth when focusing into biological samples. Static correction of aberrations may be achieved through appropriate lens design, but this approach does not offer the flexibility of simultaneously correcting aberrations for all imaging depths, nor the adaptability to correct for sample-specific aberrations for high-quality tomographic optical imaging. Incorporation of adaptive optics (AO) methods have demonstrated considerable improvement in optical image contrast and resolution in noninterferometric microscopy techniques, as well as in optical coherence tomography. Here we present a method to correct aberrations in a tomogram rather than the beam of a broadband optical interferometry system. Based on Fourier optics principles, we correct aberrations of a virtual pupil using Zernike polynomials. When used in conjunction with the computed imaging method interferometric synthetic aperture microscopy, this computational AO enables object reconstruction (within the single scattering limit) with ideal focal-plane resolution at all depths. Tomographic reconstructions of tissue phantoms containing subresolution titanium-dioxide particles and of ex vivo rat lung tissue demonstrate aberration correction in datasets acquired with a highly astigmatic illumination beam. These results also demonstrate that imaging with an aberrated astigmatic beam provides the advantage of a more uniform depth-dependent signal compared to imaging with a standard Gaussian beam. With further work, computational AO could enable the replacement of complicated and expensive optical hardware components with algorithms implemented on a standard desktop computer, making high-resolution 3D interferometric tomography accessible to a wider group of users and nonspecialists.low-coherence tomography | three-dimensional microscopy | aberration compensation | holography | inverse scattering

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“…A variety of methods for simulating optical coherence tomography (OCT) image formation have been developed [1][2][3][4][5][6][7][8][9][10][11]. These methods have been motivated by the need to interpret images, to understand and manipulate phenomena which influence image formation in OCT, and to provide a means of testing new system designs without the need to build them.…”

Section: Introductionmentioning

confidence: 99%

“…Most such models developed to date employ a scalar approximation. Some models have been extended to allow for the simulation of vectorial phenomena (e.g., [1][2][3]); however, the scalar approach is still predominant. The coherence properties of the incident and scattered fields are generally also not explicitly modelled, in the sense that the effect that propagation has on the coherence of the beam is not modelled.…”

Section: Introductionmentioning

confidence: 99%

Full wave model of image formation in optical coherence tomography applicable to general samples

Munro¹,

Curatolo²,

Sampson³

2015

Opt. Express

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Abstract:We demonstrate a highly realistic model of optical coherence tomography, based on an existing model of coherent optical microscopes, which employs a full wave description of light. A defining feature of the model is the decoupling of the key functions of an optical coherence tomography system: sample illumination, light-sample interaction and the collection of light scattered by the sample. We show how such a model can be implemented using the finite-difference time-domain method to model light propagation in general samples. The model employs vectorial focussing theory to represent the optical system and, thus, incorporates general illumination beam types and detection optics. To demonstrate its versatility, we model image formation of a stratified medium, a numerical point-spread function phantom and a numerical phantom, based upon a physical three-dimensional structured phantom employed in our laboratory. We show that simulated images compare well with experimental images of a three-dimensional structured phantom. Such a model provides a powerful means to advance all aspects of optical coherence tomography imaging.

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Nonparaxial vector-field modeling of optical coherence tomography and interferometric synthetic aperture microscopy

Cited by 59 publications

References 26 publications

Stability in computed optical interferometric tomography (Part I): Stability requirements

Stability in computed optical interferometric tomography (Part I): Stability requirements

Computational adaptive optics for broadband optical interferometric tomography of biological tissue

Full wave model of image formation in optical coherence tomography applicable to general samples

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