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Guide-star-based computational adaptive optics for broadband interferometric tomography
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10.1063/1.4768778
/content/aip/journal/apl/101/22/10.1063/1.4768778
http://aip.metastore.ingenta.com/content/aip/journal/apl/101/22/10.1063/1.4768778

Figures

Image of FIG. 1.
FIG. 1.

Flow chart of iterative guide-star-based CAO. The aberration-corrected signal after the i th iteration isdenoted , and the final output is denotedas . Arguments of the variables , , , and have been suppressed.

Image of FIG. 2.
FIG. 2.

Guide-star-based CAO in a silicone phantom consisting of sub-resolution microparticles, using a 3D dataset that was acquired with an astigmatic optical system. En face planes 574 μm (optical depth, surface of the sample at 975 μm) above the plane of least confusion. (a) OCT, (b) OCT with Zernike-based astigmatism correction, (c) ISAM with Zernike-based astigmatism correction, and (d) GS-CAO of higher order aberrations using the 3D ISAM dataset incorporating Zernike-based correction. Horizontal and vertical cross-sections (e) through the guide star used for aberration correction (orange arrows in (c) and (d)), and (f) through a different scatterer in the field-of-view (green arrows in (c) and (d)). (g) Zoomed en face ISAM image and effective pupil function for the central value of , and animation of GS-CAO over 5 iterations. Gamma correction (γ = 0.6) was applied to the intensity scale of the en face images to compress dynamic range, whereas the vertical axis of the cross-sectional plots are shown on a linear scale (enhanced online). [URL: http://dx.doi.org/10.1063/1.4768778.1]10.1063/1.4768778.1

Image of FIG. 3.
FIG. 3.

Guide-star-based CAO of a 3D rabbit muscle tissue dataset acquired with an astigmatic optical system. En face planes 574 μm (optical depth, surface of the sample at 600 μm) above the plane of least confusion are shown after (a) OCT, (b) OCT after Zernike-based astigmatism correction, (c) ISAM after Zernike-based astigmatism correction and (d) GS-CAO correction of higher order aberrations using the 3D ISAM dataset incorporating the Zernike-based correction. Horizontal and vertical cross-sections (e) through the guide star used for aberration correction (orange arrows in (c) and (d)), and (f) through a different scatterer in the field-of-view (green arrows in (c) and (d)). Gamma correction (γ = 0.6) was applied to the intensity scale of the en face images to compress dynamic range, whereas the vertical axis of the cross-sectional plots are shown on a linear scale.

Image of FIG. 4.
FIG. 4.

Zoomed regions of en face planes extracted from the 3D reconstructions of the rabbit muscle dataset shown in Fig. 3. (Top row) ISAM with Zernike-based astigmatism correction, and (bottom row) with additional GS-CAO using the same guide star from Fig. 3. The images above were extracted from (optical) depths of (aand b) 574 μm, (c and d) 513 μm, and (e and f) 475 μm above the plane of least confusion. The white arrows in (b, d, and f) denote tissue structure that is more clearly resolved after GS-CAO. Gamma correction (γ = 0.6) was applied to the intensity scale of the images in order to compress dynamic range.

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/content/aip/journal/apl/101/22/10.1063/1.4768778
2012-11-29
2014-04-24
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Guide-star-based computational adaptive optics for broadband interferometric tomography
http://aip.metastore.ingenta.com/content/aip/journal/apl/101/22/10.1063/1.4768778
10.1063/1.4768778
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