Retinal curvature correction with coherence gate shaping for full-field OCT high-resolution retinal imaging over a wide field-of-view

التفاصيل البيبلوغرافية
العنوان: Retinal curvature correction with coherence gate shaping for full-field OCT high-resolution retinal imaging over a wide field-of-view
المؤلفون: Kassandra Groux, Pedro Mecê, Kate Grieve, Claude Boccara, Jules Scholler
المصدر: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV.
بيانات النشر: SPIE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Retina, genetic structures, medicine.diagnostic_test, Computer science, business.industry, Retinal, equipment and supplies, Curvature, eye diseases, chemistry.chemical_compound, medicine.anatomical_structure, Optics, Optical coherence tomography, chemistry, Foveal, Ophthalmoscopes, medicine, sense organs, business, Adaptive optics, Coherence (physics)
الوصف: Allying high-resolution with a large field-of-view (FOV) is of great importance in the fields of biology and medicine, but particularly challenging when imaging non-flat living samples such as the retina. Indeed, high-resolution is normally achieved with adaptive optics (AO) and scanning methods, which considerably reduce the useful FOV and increase the system complexity. Here, we introduce coherence gate shaping for FF-OCT, to optically shape the coherence gate geometry to match the retinal curvature, thus achieving a larger FOV than previously possible. Using this instrument, we obtained high-resolution images of photoreceptors close to the foveal center without AO and with a 1x1m² FOV. This novel advance facilitates the extraction of photoreceptor-based biomarkers and 4D monitoring of individual photoreceptors. We compare our findings with AO-assisted ophthalmoscopes, highlighting the potential of FF-OCT, as a compact system, to become a routine clinical imaging technique.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::0dd17712bc36c77ed08889c63f34b8baTest
https://doi.org/10.1117/12.2576687Test
رقم الانضمام: edsair.doi...........0dd17712bc36c77ed08889c63f34b8ba
قاعدة البيانات: OpenAIRE