Anisotropic aberration correction using region of interest based digital adaptive optics in Fourier domain OCT

Kumar, Abhishek; Kamali, Tschackad; Platzer, René; Unterhuber, Angelika; Drexler, Wolfgang; Leitgeb, Rainer A.

doi:10.1364/boe.6.001124

Cited by 48 publications

(25 citation statements)

References 26 publications

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“…For example, alternative signal collection schemes like Bessel beam illumination, dynamic focusing [71], and Gabor domain OCM [72] help maintain resolution and signal collection over large depth ranges. Computational methods like interferometric synthetic aperture microscopy [34] and CAO [35,[73][74][75] allow for the mitigation of defocus and aberrations, respectively. CAO may also enable the use of novel illumination schemes to enhance signal collection in depth [35].…”

Section: Advantages Of An Ocm-based Platform For Cell Mechanics Researchmentioning

confidence: 99%

Measurement of dynamic cell-induced 3D displacement fields in vitro for traction force optical coherence microscopy

Mulligan

Bordeleau

Reinhart‐King

et al. 2017

Biomed. Opt. Express

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Traction force microscopy (TFM) is a method used to study the forces exerted by cells as they sense and interact with their environment. Cell forces play a role in processes that take place over a wide range of spatiotemporal scales, and so it is desirable that TFM makes use of imaging modalities that can effectively capture the dynamics associated with these processes. To date, confocal microscopy has been the imaging modality of choice to perform TFM in 3D settings, although multiple factors limit its spatiotemporal coverage. We propose traction force optical coherence microscopy (TF-OCM) as a novel technique that may offer enhanced spatial coverage and temporal sampling compared to current methods used for volumetric TFM studies. Reconstructed volumetric OCM data sets were used to compute time-lapse extracellular matrix deformations resulting from cell forces in 3D culture. These matrix deformations revealed clear differences that can be attributed to the dynamic forces exerted by normal versus contractility-inhibited NIH-3T3 fibroblasts embedded within 3D Matrigel matrices. Our results are the first step toward the realization of 3D TF-OCM, and they highlight the potential use of OCM as a platform for advancing cell mechanics research. 7(4), 265-275 (2006).

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Section: Advantages Of An Ocm-based Platform For Cell Mechanics Researchmentioning

confidence: 99%

Measurement of dynamic cell-induced 3D displacement fields in vitro for traction force optical coherence microscopy

Mulligan

Bordeleau

Reinhart‐King

et al. 2017

Biomed. Opt. Express

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“…ISAM is implemented at the end to correct the aberrations and defocus for all the depths simultaneously. In the cases where aberrations are significantly different from region to region, even in the same depth layer, it is possible to divide the volume into multiple regions and use different aberration correction filters for each piece, and then reassemble them to reconstruct the composite image [117]. A further simplification is the assumption of an achromatic system, where the k-dependence of the aberration correction filter .…”

Section: Cao Theorymentioning

confidence: 99%

“…Adie et al [17] showed PSF improvement after CAO processing when imaging a silicone phantom with subresolution microparticles in an astigmatic system. CAO has been successfully applied to scattering biological samples imaged by different scanning geometries, such as ex vivo rat lung tissue [17] and 3D rabbit muscle tissue [116] by point scanning FD-OCT, and grape skin [123] and ex vivo mouse adipocytes by full-field SS-OCT [117].…”

Section: Applications Of Caomentioning

confidence: 99%

Computational optical coherence tomography [Invited]

Liu

South

et al. 2017

Biomed. Opt. Express

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Optical coherence tomography (OCT) has become an important imaging modality with numerous biomedical applications. Challenges in high-speed, high-resolution, volumetric OCT imaging include managing dispersion, the trade-off between transverse resolution and depth-of-field, and correcting optical aberrations that are present in both the system and sample. Physics-based computational imaging techniques have proven to provide solutions to these limitations. This review aims to outline these computational imaging techniques within a general mathematical framework, summarize the historical progress, highlight the state-of-the-art achievements, and discuss the present challenges. Swanson, "Optical biopsy and imaging using optical coherence tomography," Nat. Med. 1(9), 970-972 (1995). 3. G. J. Tearney, M. E. Brezinski, B. E. Bouma, S. A. Boppart, C. Pitris, J. F. Southern, and J. G. Fujimoto, "In vivo endoscopic optical biopsy with optical coherence tomography," Science 276(5321), 2037-2039 (1997). 4. S. A. Boppart, B. E. Bouma, C. Pitris, J. F. Southern, M. E. Brezinski, and J. G. Fujimoto, "In vivo cellular optical coherence tomography imaging," Nat. Med. 4(7), 861-865 (1998). Sundaram, P. S. Ray, and S. A. Boppart, "Real-time imaging of the resection bed using a handheld probe to reduce incidence of microscopic positive margins in cancer surgery," Cancer Res. 75(18), 3706-3712 (2015). 9. J. G. Fujimoto and E. A. Swanson, "The development, commercialization, and impact of optical coherence tomography," Invest. Ophthalmol. Vis. Sci. 57(9), OCT1-OCT13 (2016). 10. A. M. Cormack, "Representation of a function by its line integrals, with some radiological applications. II," J.Appl. Phys. 35(10), 2722-2727 (1964). 11. G. N. Hounsfield, "Computerized transverse axial scanning (tomography). 1. Description of system," Br. J.Radiol. 46(552), 1016-1022 (1973). 12. P. C. Lauterbur, "Image formation by induced local interactions: examples employing nuclear magnetic resonance," Nature 242(5394), 190-191 (1973). 13. P. T. Gough and D. W. Hawkins, "Unified framework for modern synthetic aperture imaging algorithms," Int. J.Imaging Syst. Technol. 8(4), 343-358 (1997). shaping for optimal depth-selective focusing in optical coherence tomography," Opt. Express 21(3), 2890-2902 (2013 111-115 (1962). 77. L. Cutrona, E. Leith, C. Palermo, and L. Porcello, "Optical data processing and filtering systems," IRE Trans.Inf. Theory 6(3), 386-400 (1960). 78. L. J. Cutrona, E. N. Leith, L. J. Porcello, and E. W. Vivian, "On the application of coherent optical processing techniques to synthetic-aperture radar," Proc. IEEE 54(8), 1026-1032 (1966). 79. W. Brown and L. Porcello, "An introduction to synthetic-aperture radar," IEEE Spectr. 6(9), 52-62 (1969). 80. M. P. Hayes and P. T. Gough, "Broad-band synthetic aperture sonar," IEEE J. Oceanic Eng. 17(1), 80-94 (1992)

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“…In this way, volumetric aberration-free imaging can be achieved. This flexible processing method can be used to correct for arbitrary aberrations of high order [8, 33], and can be optimized for selected sample regions to overcome spatially varying aberrations [34]. CAO has recently been applied to in vivo imaging of the human retina for visualization of the photoreceptor mosaic [8].…”

Section: Introductionmentioning

confidence: 99%

Computed Optical Interferometric Imaging: Methods, Achievements, and Challenges

South¹,

Liu²,

Carney³

et al. 2016

IEEE J. Select. Topics Quantum Electron.

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Three-dimensional high-resolution optical imaging systems are generally restricted by the trade-off between resolution and depth-of-field as well as imperfections in the imaging system or sample. Computed optical interferometric imaging is able to overcome these longstanding limitations using methods such as interferometric synthetic aperture microscopy (ISAM) and computational adaptive optics (CAO) which manipulate the complex interferometric data. These techniques correct for limited depth-of-field and optical aberrations without the need for additional hardware. This paper aims to outline these computational methods, making them readily available to the research community. Achievements of the techniques will be highlighted, along with past and present challenges in implementing the techniques. Challenges such as phase instability and determination of the appropriate aberration correction have been largely overcome so that imaging of living tissues using ISAM and CAO is now possible. Computed imaging in optics is becoming a mature technology poised to make a significant impact in medicine and biology.

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Anisotropic aberration correction using region of interest based digital adaptive optics in Fourier domain OCT

Cited by 48 publications

References 26 publications

Measurement of dynamic cell-induced 3D displacement fields in vitro for traction force optical coherence microscopy

Measurement of dynamic cell-induced 3D displacement fields in vitro for traction force optical coherence microscopy

Computational optical coherence tomography [Invited]

Computed Optical Interferometric Imaging: Methods, Achievements, and Challenges

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