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Alluxa - Optical Coatings LB 8/23
Photonics Dictionary

spectral domain optical coherence tomography

Spectral domain optical coherence tomography is an imaging technique used in medical diagnostics, particularly in ophthalmology, to visualize and analyze the internal structures of biological tissues, most commonly the retina in the eye.

Key concepts in SD-OCT are:

Optical coherence tomography (OCT): OCT is a non-invasive imaging technique that uses low-coherence interferometry to obtain high-resolution, cross-sectional images of biological tissues. It works by measuring the echo time delay and magnitude of backscattered or reflected light, providing detailed images of tissue microstructure.

Spectral domain (SD): In traditional time-domain OCT (TD-OCT), the depth information of the sample is acquired by scanning the reference arm length in time. In SD-OCT, a spectrometer is used to simultaneously detect multiple depth information in the spectral domain. This results in faster imaging speeds and improved signal-to-noise ratios compared to TD-OCT.

SD-OCT has several advantages over TD-OCT:

Speed: SD-OCT is faster because it doesn't require a mechanical scanning of the reference arm.

Sensitivity: The improved signal-to-noise ratio allows for better sensitivity and the ability to visualize finer details in tissues.

Resolution: SD-OCT typically offers higher axial and lateral resolution compared to TD-OCT.

Ophthalmic applications: SD-OCT is widely used in ophthalmology for imaging the structures of the eye, particularly the retina and the anterior segment. It is instrumental in diagnosing and monitoring various eye conditions, including macular degeneration, diabetic retinopathy, glaucoma, and other retinal diseases.

Retinal imaging: In retinal imaging, SD-OCT enables clinicians to visualize and measure the thickness of retinal layers, identify abnormalities, and monitor disease progression. It has become a standard tool in the field, providing valuable information for early detection and management of eye diseases.

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