Structured polarized light microscopy for collagen fiber structure and orientation quantification in thick ocular tissues

Abstract. Collagen is a major constituent of the eye and understanding its architecture and biomechanics is critical to preserve and restore vision. We, recently, demonstrated polarized light microscopy (PLM) as a powerful technique for measuring properties of the collagen fibers of the eye, such as spatial distribution and orientation. Our implementation of PLM, however, required sectioning the tissues for imaging using transmitted light. This is problematic because it limits analysis to thin sections. This is not only slow, but precludes study of dynamic events such as pressure-induced deformations, which are central to the role of collagen. We introduce structured polarized light microscopy (SPLM), an imaging technique that combines structured light illumination with PLM to allow imaging and measurement of collagen fiber properties in thick ocular tissues. Using pig and sheep eyes, we show that SPLM rejects diffuse background light effectively in thick tissues, significantly enhancing visualization of optic nerve head (ONH) structures, such as the lamina cribrosa, and improving the accuracy of the collagen fiber orientation measurements. Further, we demonstrate the integration of SPLM with an inflation device to enable direct visualization, deformation tracking, and quantification of collagen fibers in ONHs while under controlled pressure.

[1]  Josef Bille,et al.  Second harmonic generation imaging of collagen fibrils in cornea and sclera. , 2005, Optics express.

[2]  Bin Yang,et al.  Structured polarized light microscopy (SPLM) for mapping collagen fiber orientation of ocular tissues , 2018, OPTO.

[3]  Alex Vitkin,et al.  Polarized light imaging in biomedicine: emerging Mueller matrix methodologies for bulk tissue assessment , 2015, Journal of biomedical optics.

[4]  K. Meek,et al.  Corneal structure and transparency , 2015, Progress in Retinal and Eye Research.

[5]  Ian A Sigal,et al.  Modeling individual-specific human optic nerve head biomechanics. Part II: influence of material properties , 2009, Biomechanics and modeling in mechanobiology.

[6]  Gadi Wollstein,et al.  Formalin Fixation and Cryosectioning Cause Only Minimal Changes in Shape or Size of Ocular Tissues , 2017, Scientific Reports.

[7]  Thao D Nguyen,et al.  Biomechanics of the human posterior sclera: age- and glaucoma-related changes measured using inflation testing. , 2012, Investigative ophthalmology & visual science.

[8]  C Ross Ethier,et al.  Biomechanical assessment in models of glaucomatous optic neuropathy. , 2015, Experimental eye research.

[9]  N. Mcbrien,et al.  Structural and ultrastructural changes to the sclera in a mammalian model of high myopia. , 2001, Investigative ophthalmology & visual science.

[10]  Craig Boote,et al.  Scleral anisotropy and its effects on the mechanical response of the optic nerve head , 2012, Biomechanics and Modeling in Mechanobiology.

[11]  Gadi Wollstein,et al.  Imaging of the Lamina Cribrosa in Glaucoma: Perspectives of Pathogenesis and Clinical Applications , 2013, Current eye research.

[12]  R. Chipman,et al.  Mueller matrix retinal imager with optimized polarization conditions. , 2008, Optics express.

[13]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[14]  Katia Genovese,et al.  Sequential-digital image correlation for mapping human posterior sclera and optic nerve head deformation. , 2014, Journal of biomechanical engineering.

[15]  C. Ross Ethier,et al.  Phase-Contrast Micro-Computed Tomography Measurements of the Intraocular Pressure-Induced Deformation of the Porcine Lamina Cribrosa , 2016, IEEE Transactions on Medical Imaging.

[16]  Dao-Yi Yu,et al.  Correlating morphometric parameters of the porcine optic nerve head in spectral domain optical coherence tomography with histological sections , 2010, British Journal of Ophthalmology.

[17]  Shuichi Makita,et al.  Machine-learning based segmentation of the optic nerve head using multi-contrast Jones matrix optical coherence tomography with semi-automatic training dataset generation. , 2018, Biomedical optics express.

[18]  Craig Boote,et al.  Quantitative mapping of collagen fiber orientation in non-glaucoma and glaucoma posterior human sclerae. , 2012, Investigative ophthalmology & visual science.

[19]  Bo Wang,et al.  In vivo three-dimensional characterization of the healthy human lamina cribrosa with adaptive optics spectral-domain optical coherence tomography. , 2014, Investigative ophthalmology & visual science.

[20]  Leopold Schmetterer,et al.  Posterior rat eye during acute intraocular pressure elevation studied using polarization sensitive optical coherence tomography , 2016, Biomedical optics express.

[21]  V. Gruev,et al.  CCD polarization imaging sensor with aluminum nanowire optical filters. , 2010, Optics express.

[22]  Claudio Traversi,et al.  Parasurgical therapy for keratoconus by riboflavin–ultraviolet type A rays induced cross‐linking of corneal collagen: Preliminary refractive results in an Italian study , 2006, Journal of cataract and refractive surgery.

[23]  Ning-Jiun Jan,et al.  Polarized light microscopy for 3‐dimensional mapping of collagen fiber architecture in ocular tissues , 2018, Journal of biophotonics.

[24]  Leslie M Loew,et al.  Second-harmonic imaging microscopy for visualizing biomolecular arrays in cells, tissues and organisms , 2003, Nature Biotechnology.

[25]  S. Gardiner,et al.  Material properties of the posterior human sclera. , 2014, Journal of the mechanical behavior of biomedical materials.

[26]  Kevin C. Chan,et al.  Spatial Patterns and Age-Related Changes of the Collagen Crimp in the Human Cornea and Sclera , 2018, Investigative ophthalmology & visual science.

[27]  Richard T. Hart,et al.  Mapping 3D Strains with Ultrasound Speckle Tracking: Method Validation and Initial Results in Porcine Scleral Inflation , 2015, Annals of Biomedical Engineering.

[28]  Julie Albon,et al.  Quantitative mapping of scleral fiber orientation in normal rat eyes. , 2011, Investigative ophthalmology & visual science.

[29]  Ning-Jiun Jan,et al.  Eye-specific IOP-induced displacements and deformations of human lamina cribrosa. , 2014, Investigative ophthalmology & visual science.

[30]  Christian Franck,et al.  The pressure-induced deformation response of the human lamina cribrosa: Analysis of regional variations. , 2017, Acta biomaterialia.

[31]  Paola Taroni,et al.  Diffuse optical characterization of collagen absorption from 500 to 1700 nm , 2017, Journal of biomedical optics.

[32]  Ian A Sigal,et al.  Reconstruction of human optic nerve heads for finite element modeling. , 2005, Technology and health care : official journal of the European Society for Engineering and Medicine.

[33]  I. Sigal,et al.  Collagen fiber recruitment: A microstructural basis for the nonlinear response of the posterior pole of the eye to increases in intraocular pressure. , 2018, Acta biomaterialia.

[34]  Bo Wang,et al.  Recent advances in OCT imaging of the lamina cribrosa , 2014, British Journal of Ophthalmology.

[35]  Zachary T. Harmany,et al.  Microscopy with ultraviolet surface excitation for rapid slide-free histology , 2017, Nature Biomedical Engineering.

[36]  Bin Yang,et al.  Real-time absorption reduced surface fluorescence imaging , 2014, Journal of biomedical optics.

[37]  M. Fautsch,et al.  Quantitative analysis of three-dimensional fibrillar collagen microstructure within the normal, aged and glaucomatous human optic nerve head , 2015, Journal of The Royal Society Interface.

[38]  Hiroshi Ishikawa,et al.  Polarization microscopy for characterizing fiber orientation of ocular tissues. , 2015, Biomedical optics express.

[39]  A. Pierangelo,et al.  Ex-vivo characterization of human colon cancer by Mueller polarimetric imaging. , 2011, Optics express.

[40]  Ian A. Sigal,et al.  Microstructural Crimp of the Lamina Cribrosa and Peripapillary Sclera Collagen Fibers , 2017, Investigative ophthalmology & visual science.

[41]  Tatiana Novikova,et al.  Ex vivo Mueller polarimetric imaging of the uterine cervix: a first statistical evaluation , 2016, Journal of biomedical optics.

[42]  Ian A Sigal,et al.  Modeling individual-specific human optic nerve head biomechanics. Part I: IOP-induced deformations and influence of geometry , 2009, Biomechanics and modeling in mechanobiology.

[43]  Ian A. Sigal,et al.  Collagen Architecture of the Posterior Pole: High-Resolution Wide Field of View Visualization and Analysis Using Polarized Light Microscopy , 2017, Investigative ophthalmology & visual science.

[44]  I. Yaroslavsky,et al.  Optical properties of selected native and coagulated human brain tissues in vitro in the visible and near infrared spectral range. , 2002, Physics in medicine and biology.

[45]  C. Ross Ethier,et al.  Effects of Peripapillary Scleral Stiffening on the Deformation of the Lamina Cribrosa , 2016, Investigative ophthalmology & visual science.

[46]  Bryn L. Brazile,et al.  Crimp around the globe; patterns of collagen crimp across the corneoscleral shell , 2018, Experimental eye research.

[47]  Dao-Yi Yu,et al.  Axonal transport and cytoskeletal changes in the laminar regions after elevated intraocular pressure. , 2007, Investigative ophthalmology & visual science.

[48]  James V Jester,et al.  Application of second harmonic imaging microscopy to assess structural changes in optic nerve head structure ex vivo. , 2007, Journal of biomedical optics.

[49]  Ian C. Campbell,et al.  Biomechanics of the posterior eye: a critical role in health and disease. , 2014, Journal of biomechanical engineering.

[50]  Michael S Sacks,et al.  Polarized light spatial frequency domain imaging for non-destructive quantification of soft tissue fibrous structures. , 2015, Biomedical optics express.

[51]  Sundaresh Ram,et al.  Three-Dimensional Segmentation of the Ex-Vivo Anterior Lamina Cribrosa From Second-Harmonic Imaging Microscopy , 2018, IEEE Transactions on Biomedical Engineering.

[52]  T. Seiler,et al.  Riboflavin/ultraviolet-a-induced collagen crosslinking for the treatment of keratoconus. , 2003, American journal of ophthalmology.

[53]  Y. Yasuno,et al.  Polarization-sensitive swept-source optical coherence tomography with continuous source polarization modulation. , 2008, Optics express.