Super-resolution retinal imaging using optically reassigned scanning laser ophthalmoscopy

Super-resolution optical microscopy techniques have enabled the discovery and visualization of numerous phenomena in physics, chemistry and biology1–3. However, the highest resolution super-resolution techniques depend on nonlinear fluorescence phenomena and are thus inaccessible to the myriad applications that require reflective imaging4,5. One promising super-resolution technique is optical reassignment6, which so far has only shown potential for fluorescence imaging at low speeds. Here, we present novel advances in optical reassignment to adapt it for any scanning microscopy, including reflective imaging, and enable an order of magnitude faster image acquisition than previous optical reassignment techniques. We utilized these advances to implement optically reassigned scanning laser ophthalmoscopy, an in vivo super-resolution human retinal imaging device not reliant on confocal gating. Using this instrument, we achieved high-resolution imaging of living human retinal cone photoreceptor cells (determined by minimum foveal eccentricity) without adaptive optics or chemical dilation of the eye7.The implementation of optically reassigned scanning laser ophthalmoscopy enables in vivo photon reassignment super-resolution imaging and high-resolution imaging of living human retinal cone photoreceptor cells without adaptive optics or chemical dilation of the eye.

[1]  Joseph A. Izatt,et al.  Handheld Adaptive Optics Scanning Laser Ophthalmoscope. , 2018, Optica.

[2]  Stephen A Burns,et al.  Individual variations in human cone photoreceptor packing density: variations with refractive error. , 2008, Investigative ophthalmology & visual science.

[3]  Andrew G. York,et al.  Instant super-resolution imaging in live cells and embryos via analog image processing , 2013, Nature Methods.

[4]  Hari Shroff,et al.  Two-photon instant structured illumination microscopy improves the depth penetration of super-resolution imaging in thick scattering samples. , 2014, Optica.

[5]  Michael Unser,et al.  User‐friendly semiautomated assembly of accurate image mosaics in microscopy , 2007, Microscopy research and technique.

[6]  David Williams,et al.  Functional photoreceptor loss revealed with adaptive optics: an alternate cause of color blindness. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Donald T. Miller,et al.  Imaging and quantifying ganglion cells and other transparent neurons in the living human retina , 2017, Proceedings of the National Academy of Sciences.

[8]  David Williams,et al.  Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope , 2011, Biomedical optics express.

[9]  Joe G Hollyfield,et al.  Oxidative damage–induced inflammation initiates age-related macular degeneration , 2008, Nature Medicine.

[10]  Jörg Enderlein,et al.  Image scanning microscopy. , 2010, Physical review letters.

[11]  A. Dubra,et al.  Reflective afocal broadband adaptive optics scanning ophthalmoscope , 2011, Biomedical optics express.

[12]  Stephen A. Burns,et al.  Woofer-tweeter adaptive optics scanning laser ophthalmoscopic imaging based on Lagrange-multiplier damped least-squares algorithm , 2011, Biomedical optics express.

[13]  David Williams,et al.  The arrangement of the three cone classes in the living human eye , 1999, Nature.

[14]  Wei Zheng,et al.  Adaptive optics improves multiphoton super-resolution imaging , 2017, Nature Methods.

[15]  Sjoerd Stallinga,et al.  Re-scan confocal microscopy: scanning twice for better resolution. , 2013, Biomedical optics express.

[16]  A. Hendrickson,et al.  Human photoreceptor topography , 1990, The Journal of comparative neurology.

[17]  A. Dubra,et al.  Sub-Airy Confocal Adaptive Optics Scanning Ophthalmoscopy , 2018, Translational vision science & technology.

[18]  C. Sheppard,et al.  Theory and practice of scanning optical microscopy , 1984 .

[19]  Jennifer J. Hunter,et al.  Imaging individual neurons in the retinal ganglion cell layer of the living eye , 2017, Proceedings of the National Academy of Sciences.

[20]  M. Gustafsson Nonlinear structured-illumination microscopy: wide-field fluorescence imaging with theoretically unlimited resolution. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[21]  J. Lippincott-Schwartz,et al.  Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.

[22]  Jörg Großhans,et al.  Rapid nonlinear image scanning microscopy , 2017, Nature Methods.

[23]  Rainer Heintzmann,et al.  Optical photon reassignment microscopy (OPRA) , 2013, Optical Nanoscopy.

[24]  Shalin B. Mehta,et al.  Superresolution by image scanning microscopy using pixel reassignment. , 2013, Optics letters.

[25]  C. Sheppard Super-resolution in confocal imaging , 1988 .

[26]  Nathan D. Shemonski,et al.  Computational high-resolution optical imaging of the living human retina , 2015, Nature Photonics.

[27]  A. Swaroop,et al.  High-resolution imaging with adaptive optics in patients with inherited retinal degeneration. , 2007, Investigative ophthalmology & visual science.

[28]  A. Roorda,et al.  Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope , 2011, Biomedical optics express.

[29]  Siddharth Poonja,et al.  MEMS-based adaptive optics scanning laser ophthalmoscopy , 2006 .

[30]  Sina Farsiu,et al.  In vivo cellular-resolution retinal imaging in infants and children using an ultracompact handheld probe , 2016, Nature Photonics.

[31]  David A Atchison,et al.  Eye shape in emmetropia and myopia. , 2004, Investigative ophthalmology & visual science.

[32]  T Wilson,et al.  Size of the detector in confocal imaging systems. , 1987, Optics letters.

[33]  Shau Poh Chong,et al.  Visible light optical coherence microscopy of the brain with isotropic femtoliter resolution in vivo. , 2018, Optics letters.

[34]  J. Yellott Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing , 1982, Vision Research.

[35]  S. Beck,et al.  Mutations in the unfolded protein response regulator ATF6 cause the cone dysfunction disorder achromatopsia , 2015, Nature Genetics.

[36]  R. Webb,et al.  Confocal scanning laser ophthalmoscope. , 1987, Applied optics.

[37]  S. Hell,et al.  Fluorescence microscopy with diffraction resolution barrier broken by stimulated emission. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[38]  J. Fujimoto,et al.  Optical Coherence Tomography , 1991 .

[39]  A. Roorda,et al.  Optimal pupil size in the human eye for axial resolution. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[40]  Fred P. Seeber,et al.  OP-TEC national center for optics and photonics education and ANSI Z136.5 American National Standard for the safe use of lasers in educational institutions – How they will work together to improve laser safety in educational institutions , 2009 .

[41]  Christopher S. Langlo,et al.  Automatic detection of modal spacing (Yellott's ring) in adaptive optics scanning light ophthalmoscope images , 2013, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.