Sensors in Vision Research and Ophthalmic Instrumentation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (29 July 2022) | Viewed by 7035
Special Issue Editor
Interests: electronics; optoelectronics; computers; computer modeling; signal/image processing; data analysis; instrumentation design; biophotonics; polarization-sensitive optics; ophthalmic and biomedical optics; all applied to the development of diagnostic methods and devices for ophthalmology and vision research
Special Issue Information
Dear Colleagues,
In the past few decades, the use of light has played an important role in revealing structural and functional information from the human eye in a nondestructive and non-invasive manner. Ophthalmic optics and related disciplines have been expanding steadily, providing scientists and doctors with priceless multidisciplinary information in addition to enabling new diagnostic and therapeutic methods. New scanning and imaging technologies have had a tremendous impact on ophthalmology, where information about the fovea and the optic nerve is essential. A number of ophthalmic diagnostic technologies have been developed and refined, such as scanning laser ophthalmoscopy, the adaptive optics scanning laser ophthalmoscopy, scanning laser polarimetry, optical coherence tomography (OCT), Doppler OCT, polarization-sensitive OCT, OCT angiography, fluorescein angiography, indocyanine green angiography, and imaging based on near-infrared reflectance, fundus autofluorescence, and photoacoustic ocular imaging, etc. In addition, the term “multi-modal imaging” has emerged and is being increasingly used to describe the approach of diagnosing a retinal condition by combining complementary imaging modalities for the purpose of diagnosis, classification, prognostication, monitoring, and management. Similarly, diagnostic decision making based on ophthalmic sensors has strongly been enhanced by the utilization of modern machine learning methods, especially deep learning, widely used for segmentation purposes. Numerous relevant technologies have emerged, such as liquid-crystal-based spatial light modulation, liquid crystal lenses, wavefront correction, Jones matrix OCT, birefringence and depolarization imaging, photoacoustic microscopy, etc., all holding promise for further improving the precision of sensors used in vision research and ophthalmic instrumentation.
Dr. Boris I. Gramatikov
Guest Editor
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Keywords
- retinal imaging
- polarization sensitive retinal scanning
- optical coherence tomography (OCT)
- optical coherence microscopy
- OCT angiography
- fluorescein angiography
- scanning laser ophthalmoscopy
- adaptive optics
- retinal oximetry
- handheld diagnostic devices
- photoacoustic imaging
- multimodal retinal imaging
- fundus photography
- low vision
- retinal prosthesis
- automatic segmentation
- machine learning
- deep learning
- eye alignment and eye-tracking
- clinical applications: diagnostic, guiding therapy, patient monitoring, disease prevention, and risk assessment
- screening technologies
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