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Abstract
The human retina is amenable to direct, noninvasive visualization using a wide array of imaging modalities. In the ∼140 years since the publication of the first image of the living human retina, there has been a continued evolution of retinal imaging technology. Advances in image acquisition and processing speed now allow real-time visualization of retinal structure, which has revolutionized the diagnosis and management of eye disease. Enormous advances have come in image resolution, with adaptive optics (AO)-based systems capable of imaging the retina with single-cell resolution. In addition, newer functional imaging techniques provide the ability to assess function with exquisite spatial and temporal resolution. These imaging advances have had an especially profound impact on the field of inherited retinal disease research. Here we will review some of the advances and applications of AO retinal imaging in patients with inherited retinal disease.
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Affiliation(s)
- Jacque L Duncan
- Department of Ophthalmology, University of California, San Francisco, California 94143-4081, USA
| | - Joseph Carroll
- Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin Eye Institute, Milwaukee, Wisconsin 53226, USA
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2
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Rajasekaran K, Bae HD, Bergbreiter S, Yu M. Flow separation sensing on airfoil using a 3D printed biomimetic artificial hair sensor. BIOINSPIRATION & BIOMIMETICS 2022; 17:046003. [PMID: 35349985 DOI: 10.1088/1748-3190/ac61e9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/29/2022] [Indexed: 06/14/2023]
Abstract
Small-scale unmanned air vehicles require lightweight, compact, and low-power sensors that encompass a variety of sensing modalities to enable flight control and navigation in challenging environments. Flow sensing is one such modality that has attracted much interest in recent years. In this paper, a micro-scale artificial hair sensor is developed to resolve both the direction and magnitude of airflow. The sensor structure employs a high-aspect ratio hair structure and a thin flexible membrane to facilitate the transduction of directional airflow to membrane deflection. The sensor readout is based on capacitive sensing and two pairs of electrodes orthogonal to each other are used to obtain airflow directional information. The sensor structure was fabricated using two-photon polymerization and integration onto a miniature printed circuit board to enable simple measurement. The sensor's responses to static displacement loading from different directions were characterized. The experimental results are in good agreement with the simulation results. Furthermore, the sensor's capability to measure the direction and magnitude of flow was demonstrated. Finally, the sensor was mounted on an airfoil and its ability to detect flow separation was verified.
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Affiliation(s)
- Keshav Rajasekaran
- University of Maryland, 2181 Glenn L. Martin Hall, College Park, MD 20742, United States of America
| | - Hyung Dae Bae
- Howard University, 2300 Sixth Street NW, Washington, DC 20059, United States of America
| | - Sarah Bergbreiter
- Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States of America
| | - Miao Yu
- University of Maryland, 2181 Glenn L. Martin Hall, College Park, MD 20742, United States of America
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3
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Heitkotter H, Salmon A, Linderman R, Porter J, Carroll J. Theoretical versus empirical measures of retinal magnification for scaling AOSLO images. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2021; 38:1400-1408. [PMID: 34612970 PMCID: PMC8647682 DOI: 10.1364/josaa.435917] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The adaptive optics scanning light ophthalmoscope (AOSLO) allows cellular resolution imaging of the living retina. The accuracy of many quantitative measurements made from these images requires accurate estimates of the lateral scale of the images. Here, we used trial lenses, which are known to affect the relative magnification of the retinal image, to compare empirical measures of image scale with theoretical estimates from a four-surface optical model. The theoretical optical model overestimated the empirically determined change in image scale in 70% of the subjects examined, albeit to varying degrees. While the origin for the differences between subjects is not known, residual accommodation during imaging likely contributes to this variability in retinal magnification. These data provide an opportunity to derive improved lateral scaling error estimates for structural metrics extracted from AOSLO retinal images.
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Affiliation(s)
- H. Heitkotter
- Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI 53226, USA
| | - A.E. Salmon
- Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI 53226, USA
- Translational Imaging Innovations, Inc., 112 Mariners Point Ln. Hickory, NC 28601, USA
| | - R.E. Linderman
- Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI 53226, USA
| | - J. Porter
- College of Optometry, University of Houston, 4901 Calhoun Rd, Houston, TX 77204, USA
| | - J. Carroll
- Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI 53226, USA
- Ophthalmology & Visual Sciences, Medical College of Wisconsin, 925 N 87th St, Milwaukee, WI 53226, USA
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Brodie F, Repka M, Burns SA, Prakalapakorn SG, Morse C, Schuman JS, Duenas MR, Afshari N, Pollack JS, Thorne JE, Vitale A, Sen HN, Myung D, Blumenkranz MS, Tu E, Hammer DX, Tarver M, Cunningham B, Kagemann L, Sadda S, Sarraf D, Jaffe GJ, Eydelman M. Development, Validation, and Innovation in Ophthalmic Laser-Based Imaging: Report From a US Food and Drug Administration-Cosponsored Forum. JAMA Ophthalmol 2021; 139:113-118. [PMID: 33211074 DOI: 10.1001/jamaophthalmol.2020.4994] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
In April 2019, the US Food and Drug Administration, in conjunction with 11 professional ophthalmic, vision science, and optometric societies, convened a forum on laser-based imaging. The forum brought together the Food and Drug Administration, clinicians, researchers, industry members, and other stakeholders to stimulate innovation and ensure that patients in the US are the first in the world to have access to high-quality, safe, and effective medical devices. This conference focused on the technology, clinical applications, regulatory issues, and reimbursement issues surrounding innovative ocular imaging modalities. Furthermore, the emerging role of artificial intelligence in ophthalmic imaging was reviewed. This article summarizes the presentations, discussion, and future directions.
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Affiliation(s)
- Frank Brodie
- Byers Eye Institute, Stanford University, Stanford, California.,Now with Vitreoretinal Surgery Fellowship Program, Duke Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Michael Repka
- American Academy of Ophthalmology, San Francisco, California
| | | | - S Grace Prakalapakorn
- American Association for Pediatric Ophthalmology and Strabismus, San Francisco, California
| | - Christie Morse
- American Association for Pediatric Ophthalmology and Strabismus, San Francisco, California
| | | | | | - Natalie Afshari
- American Society of Cataract and Refractive Surgeons, Fairfax, Virginia
| | - John S Pollack
- American Society of Retinal Specialists, Chicago, Illinois
| | | | | | - H Nida Sen
- American Uveitis Society, Birmingham, Alabama
| | - David Myung
- Byers Eye Institute, Stanford University, Stanford, California
| | | | - Elmer Tu
- Cornea Society, Fairfax, Virginia
| | - Daniel X Hammer
- Center for Devices and Radiological Health Food and Drug Administration, Silver Spring, Maryland
| | - Michelle Tarver
- Center for Devices and Radiological Health Food and Drug Administration, Silver Spring, Maryland
| | - Bradley Cunningham
- Center for Devices and Radiological Health Food and Drug Administration, Silver Spring, Maryland
| | - Larry Kagemann
- Center for Devices and Radiological Health Food and Drug Administration, Silver Spring, Maryland
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Horng H, O'Brien K, Lamont A, Sochol RD, Pfefer TJ, Chen Y. 3D printed vascular phantoms for high-resolution biophotonic image quality assessment via direct laser writing. OPTICS LETTERS 2021; 46:1987-1990. [PMID: 33857123 DOI: 10.1364/ol.412849] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/13/2021] [Indexed: 06/12/2023]
Abstract
Fluorescence imaging techniques such as fluorescein angiography and fundus autofluorescence are often used to diagnose retinal pathologies; however, there are currently no standardized test methods for evaluating device performance. Here we present microstructured fluorescent phantoms fabricated using a submicron-scale three-dimensional printing technology, direct laser writing (DLW). We employ an in situ DLW technique to print 10 µm diameter microfluidic channels that support perfusions of fluorescent dyes. We then demonstrate how broadband photoresist fluorescence can be exploited to generate resolution targets and biomimetic models of retinal vasculature using standard DLW processes. The results indicate that these approaches show significant promise for generating better performance evaluation tools for fluorescence microscopy and imaging devices.
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Alsharhan AT, Acevedo R, Warren R, Sochol RD. 3D microfluidics via cyclic olefin polymer-based in situ direct laser writing. LAB ON A CHIP 2019; 19:2799-2810. [PMID: 31334525 DOI: 10.1039/c9lc00542k] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
In situ direct laser writing (isDLW) strategies that facilitate the printing of three-dimensional (3D) nanostructured components directly inside of, and fully sealed to, enclosed microchannels are uniquely suited for manufacturing geometrically complex microfluidic technologies. Recent efforts have demonstrated the benefits of using micromolding and bonding protocols for isDLW; however, the reliance on polydimethylsiloxane (PDMS) leads to limited fluidic sealing (e.g., operational pressures <50-75 kPa) and poor compatibility with standard organic solvent-based developers. To bypass these issues, here we explore the use of cyclic olefin polymer (COP) as an enabling microchannel material for isDLW by investigating three fundamental classes of microfluidic systems corresponding to increasing degrees of sophistication: (i) "2.5D" functionally static fluidic barriers (10-100 μm in height), which supported uncompromised structure-to-channel sealing under applied input pressures of up to 500 kPa; (ii) 3D static interwoven microvessel-inspired structures (inner diameters < 10 μm) that exhibited effective isolation of distinct fluorescently labelled microfluidic flow streams; and (iii) 3D dynamically actuated microfluidic transistors, which comprised bellowed sealing elements (wall thickness = 500 nm) that could be actively deformed via an applied gate pressure to fully obstruct source-to-drain fluid flow. In combination, these results suggest that COP-based isDLW offers a promising pathway to wide-ranging fluidic applications that demand significant architectural versatility at submicron scales with invariable sealing integrity, such as for biomimetic organ-on-a-chip systems and integrated microfluidic circuits.
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Affiliation(s)
- Abdullah T Alsharhan
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA
| | - Ruben Acevedo
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA
| | - Roseanne Warren
- Mechanical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Ryan D Sochol
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA and Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA and Robert E. Fischell Institute of Biomedical Devices, University of Maryland, College Park, MD 20742, USA and Maryland Robotics Center, University of Maryland, College Park, MD 20742, USA
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Lamont AC, Restaino MA, Kim MJ, Sochol RD. A facile multi-material direct laser writing strategy. LAB ON A CHIP 2019; 19:2340-2345. [PMID: 31209452 DOI: 10.1039/c9lc00398c] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Direct laser writing (DLW) is a three-dimensional (3D) manufacturing technology that offers vast architectural control at submicron scales, yet remains limited in cases that demand microstructures comprising more than one material. Here we present an accessible microfluidic multi-material DLW (μFMM-DLW) strategy that enables 3D nanostructured components to be printed with average material registration accuracies of 100 ± 70 nm (ΔX) and 190 ± 170 nm (ΔY) - a significant improvement versus conventional multi-material DLW methods. Results for printing 3D microstructures with up to five materials suggest that μFMM-DLW can be utilized in applications that demand geometrically complex, multi-material microsystems, such as for photonics, meta-materials, and 3D cell biology.
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Affiliation(s)
- Andrew C Lamont
- Department of Mechanical Engineering, Fischell Department of Bioengineering, and Robert E. Fischell Institute for Biomedical Devices, Maryland Robotics Center, University of Maryland, 2152 Glenn L. Martin Hall, College Park, Maryland 20740, USA.
| | - Michael A Restaino
- Department of Mechanical Engineering, Fischell Department of Bioengineering, and Robert E. Fischell Institute for Biomedical Devices, Maryland Robotics Center, University of Maryland, 2152 Glenn L. Martin Hall, College Park, Maryland 20740, USA.
| | - Matthew J Kim
- Department of Mechanical Engineering, Fischell Department of Bioengineering, and Robert E. Fischell Institute for Biomedical Devices, Maryland Robotics Center, University of Maryland, 2152 Glenn L. Martin Hall, College Park, Maryland 20740, USA.
| | - Ryan D Sochol
- Department of Mechanical Engineering, Fischell Department of Bioengineering, and Robert E. Fischell Institute for Biomedical Devices, Maryland Robotics Center, University of Maryland, 2152 Glenn L. Martin Hall, College Park, Maryland 20740, USA.
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