Abstract

The trade–off between transverse resolution and depth–of–field, and the mitigation of optical aberrations, are long–standing problems in optical imaging. The deleterious impact of these problems on three–dimensional tomography increases with numerical aperture (NA), and so they represent a significant impediment for real–time cellular resolution tomography over the typical imaging depths achieved with OCT. With optical coherence microscopy (OCM), which utilizes higher–NA optics than OCT, the depth–of–field is severely reduced, and it has been postulated that aberrations play a major role in reducing the useful imaging depth in OCM. Even at lower transverse resolution, both these phenomena produce artifacts that degrade the imaging of fine tissue structures. Early approaches to the limited depth–of–field problem in time–domain OCT utilized dynamic focusing. In spectral–domain OCT, this focus–shifting approach to data acquisition leads to long acquisition times and large datasets. Adaptive optics (AO) has been utilized to correct optical aberrations, in particular for retinal OCT, but in addition to requiring elaborate and expensive setups, the real–time optimization requirements at the time of imaging, and the correction of spatially varying effects of aberrations throughout an imaged volume, remain as significant challenges. This chapter presents computed imaging solutions for the reconstruction of sample structure when imaging with ideal and aberrated Gaussian beams.

Original languageEnglish (US)
Title of host publicationOptical Coherence Tomography
Subtitle of host publicationTechnology and Applications, Second Edition
PublisherSpringer International Publishing
Pages965-1004
Number of pages40
ISBN (Electronic)9783319064192
ISBN (Print)9783319064185
DOIs
StatePublished - Jan 1 2015

Fingerprint

Synthetic apertures
synthetic apertures
aberration
Microscopy
Microscopic examination
Tomography
microscopy
Imaging techniques
Aberrations
Optical Imaging
Artifacts
tomography
tradeoffs
numerical aperture
adaptive optics
data acquisition
artifacts
acquisition
optics
Gaussian beams

Keywords

  • Aberrations
  • Adaptive optics
  • Computational adaptive optics
  • Computed optical imaging
  • Interferometric synthetic aperture microscopy
  • Inverse Problem
  • Wavefront szhaping

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Engineering(all)

Cite this

Adie, S. G., Shemonski, N. D., Ralston, T. S., Carney, P. S., & Boppart, S. A. (2015). Interferometric synthetic aperture microscopy (ISAM). In Optical Coherence Tomography: Technology and Applications, Second Edition (pp. 965-1004). Springer International Publishing. https://doi.org/10.1007/978-3-319-06419-2_31

Interferometric synthetic aperture microscopy (ISAM). / Adie, Steven G.; Shemonski, Nathan D.; Ralston, Tyler S.; Carney, P. Scott; Boppart, Stephen A.

Optical Coherence Tomography: Technology and Applications, Second Edition. Springer International Publishing, 2015. p. 965-1004.

Research output: Chapter in Book/Report/Conference proceedingChapter

Adie, SG, Shemonski, ND, Ralston, TS, Carney, PS & Boppart, SA 2015, Interferometric synthetic aperture microscopy (ISAM). in Optical Coherence Tomography: Technology and Applications, Second Edition. Springer International Publishing, pp. 965-1004. https://doi.org/10.1007/978-3-319-06419-2_31
Adie SG, Shemonski ND, Ralston TS, Carney PS, Boppart SA. Interferometric synthetic aperture microscopy (ISAM). In Optical Coherence Tomography: Technology and Applications, Second Edition. Springer International Publishing. 2015. p. 965-1004 https://doi.org/10.1007/978-3-319-06419-2_31
Adie, Steven G. ; Shemonski, Nathan D. ; Ralston, Tyler S. ; Carney, P. Scott ; Boppart, Stephen A. / Interferometric synthetic aperture microscopy (ISAM). Optical Coherence Tomography: Technology and Applications, Second Edition. Springer International Publishing, 2015. pp. 965-1004
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