Polarization sensitive optical coherence tomography with single input for imaging depth-resolved collagen organizations

Tang, Ping; Kirby, Mitchell A.; Le, Nhan; Li, Yuandong; Zeinstra, Nicole; Lu, G. Nina; Murry, Charles E.; Zheng, Ying; Wang, Ke

doi:10.1038/s41377-021-00679-3

Cited by 44 publications

(36 citation statements)

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“…With the development of more advanced imaging techniques, such as polarization-sensitive optical coherence tomography, (Baumann et al, 2014;Tang et al, 2021;Willemse et al, 2020) we expect relevant experimental data to be available in the near future.…”

Section: Discussionmentioning

confidence: 99%

Who bears the load? IOP-induced collagen fiber recruitment over the corneoscleral shell

Foong

Hua

Amini

et al. 2022

Preprint

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Collagen is the main load-bearing component of cornea and sclera. When stretched, both of these tissues exhibit a behavior known as collagen fiber recruitment. In recruitment, as the tissues stretch the constitutive collagen fibers lose their natural waviness, progressively straightening. Recruited, straight, fibers bear substantially more mechanical load than non-recruited, wavy, fibers. As such, the process of recruitment underlies the well-established nonlinear macroscopic behavior of the corneoscleral shell. Recruitment has an interesting implication: when recruitment is incomplete, only a fraction of the collagen fibers is actually contributing to bear the loads, with the rest remaining in reserve. In other words, at a given intraocular pressure (IOP), it is possible that not all the collagen fibers of the cornea and sclera are actually contributing to bear the loads. To the best of our knowledge, the fraction of corneoscleral shell fibers recruited and contributing to bear the load of IOP has not been reported. Our goal was to obtain regionally-resolved estimates of the fraction of corneoscleral collagen fibers recruited and in reserve. We developed a fiber-based microstructural constitutive model that could account for collagen fiber undulations or crimp via their tortuosity. We used experimentally-measured collagen fiber crimp tortuosity distributions in human eyes to derive region-specific nonlinear hyperelastic mechanical properties. We then built a three-dimensional axisymmetric model of the globe, assigning region-specific mechanical properties and regional anisotropy. The model was used to simulate the IOP-induced shell deformation. The model-predicted tissue stretch was then used to quantify collagen recruitment within each shell region. The calculations showed that, at low IOPs, collagen fibers in the posterior equator were recruited the fastest, such that at a physiologic IOP of 15 mmHg, over 90% of fibers were recruited, compared with only a third in the cornea and the peripapillary sclera. The differences in recruitment between regions, in turn, mean that at a physiologic IOP the posterior equator had a fiber reserve of only 10%, whereas the cornea and peripapillary sclera had two thirds. At an elevated IOP of 50 mmHg, collagen fibers in the limbus and the anterior/posterior equator were almost fully recruited, compared with 90% in the cornea and the posterior sclera, and 75% in the peripapillary sclera and the equator. That even at such an elevated IOP not all the fibers were recruited suggests that there are likely other conditions that challenge the corneoscleral tissues even more than IOP. The fraction of fibers recruited may have other potential implications. For example, fibers that are not bearing loads may be more susceptible to enzymatic digestion or remodeling. Similarly, it may be possible to control tissue stiffness through the fraction of recruited fibers without the need to add or remove collagen.

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Section: Discussionmentioning

confidence: 99%

Who bears the load? IOP-induced collagen fiber recruitment over the corneoscleral shell

Foong

Hua

Amini

et al. 2022

Preprint

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“…It should be noted that, in this review, JM-OCT mainly refers to the modality developed at the University of Tsukuba, which is characterized by not only the Jones-matrix-based polarization measurement but also a multi-contrast imaging capability. PS-OCT technology in its widest sense, including single-input-polarization PS-OCT [4], [30]- [34], Stokes-based PS-OCT [5], and Jones-Muller-analysis-based PS-OCT [35]- [37], is not fully covered in this review and is only summarized briefly in Sections VI-E and VII. The reader can find good reviews of PS-OCT in the literature [6], [7].…”

Section: B What Is and Is Not Covered By This Reviewmentioning

confidence: 99%

“…The reader can find good reviews of PS-OCT in the literature [6], [7]. One topic that is not thoroughly covered by these PS-OCT review papers is recently developed technologies for measuring the axis orientation [34], [37], [38]. This topic is briefly summarized in Section VII-D but extensive review of this topic is awaiting.…”

Section: B What Is and Is Not Covered By This Reviewmentioning

confidence: 99%

“…The second polarization unit is a PD detector, which is used not only for JM-OCT but also for several types of polarizationsensitive [32], [34], [76], [79], [81]- [88] and non-polarizationsensitive OCT [67], [89], [90]. The PD detector splits the probe and reference beam, or equivalently the interference signal, into two polarization components and detects two interference signals corresponding to the two orthogonal polarizations of the backscattered probe beam using two photodetectors.…”

Section: G Dynamic Oct (D-oct)mentioning

confidence: 99%

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Multi-Contrast Jones-Matrix Optical Coherence Tomography—The Concept, Principle, Implementation, and Applications

Yasuno

2023

IEEE J. Select. Topics Quantum Electron.

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Jones-matrix optical coherence tomography (JM-OCT) is an extension of polarization-sensitive OCT, which provides multiple types of optical contrasts of biological and clinical samples. JM-OCT measures the spatial distribution of the Jones matrix of the sample and also its time sequence. All contrasts (i.e., multi-contrast OCT images) are then computed from the Jones matrix. The contrasts obtained from the Jones matrix include not only the conventional and polarization-insensitive OCT intensity, cumulative and local phase retardation (birefringence), degreeof-polarization uniformity quantifying the polarization randomness of the sample, diattenuation, but also signal attenuation coefficient, sample scatterer density, Doppler OCT, OCT angiography, and dynamic OCT that contrasts intracellular motility or metabolism by analyzing the temporal fluctuation of the OCT signal. JM-OCT is a generalized version of OCT because it measures the generalized form of the sample information; i.e., the Jones matrix sequence. This review summarizes the basic conception, mathematical principle, hardware implementation, signal and image processing, and biological and clinical applications of JM-OCT. Advanced technical topics, including JM-OCTspecific noise correction and quantity estimation and JM-OCT's self-calibration nature, are also described.

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“…Polarization plays an important role in biomedical imaging. With single-shot illumination, Tang et al from University of Washington traced the evolution of the polarization state in depth along the Poincare sphere, achieving depth-resolved collagen imaging on both an animal model (rodent heart, ex vivo) and human subjects (face, in vivo) with polarization-sensitive OCT 11 .…”

Section: Polarization Effectsmentioning

confidence: 99%

Shedding light on biology and healthcare—preface to the special issue on Biomedical Optics

Wei

et al. 2022

Light Sci Appl

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Polarization sensitive optical coherence tomography with single input for imaging depth-resolved collagen organizations

Cited by 44 publications

References 50 publications

Who bears the load? IOP-induced collagen fiber recruitment over the corneoscleral shell

Who bears the load? IOP-induced collagen fiber recruitment over the corneoscleral shell

Multi-Contrast Jones-Matrix Optical Coherence Tomography—The Concept, Principle, Implementation, and Applications

Shedding light on biology and healthcare—preface to the special issue on Biomedical Optics

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