Spatio-Temporal Optical Coherence Tomography (STOC-T) is a new imaging modality that uses light with controlled spatial and temporal coherence. The retinal images acquired with the STOC-T system maintain high resolution in all three dimensions, over the entire thickness of about 700 μm, without mechanical scanning. We have employed known data processing algorithms and developed new ones to handle and process the acquired data sets to produce highly corrected 3D data for retinas over large fields of view. The technology and algorithms used here enabled high transverse resolution imaging of the retina and the choroid at various depths, making the differentiation of morphology visible for the first time within the Sattler’s, Haller’s, and choriocapillaris layers. Visualization of choroidal layers was carried out by using the STOCT angio algorithm. We analyzed the acquired data quantitatively to identify an effective biomarker.
We present an optical imaging system, termed Spatio-Temporal Optical Coherence Tomography, for high-resolution and fast in vivo imaging of chorioretinal complex. The system utilizes a fast camera and a swept laser source for fast volumetric data acquisition. A multimode fiber is used to break the spatial coherence of the laser that reduces the crosstalk noise in the OCT images. We choose the fiber parameters such that it gives the most optimal images in terms of signal strength, resolution and crosstalk reduction. We also test combinations of the fiber with other optomechanical devices in the attempt to further improve the images.
Photoreceptors are the primary sensing element of the human visual system. Traditionally, photoreceptors are imaged with hardware-based adaptive optics (AO), which compensate for eye aberrations. However, these systems can be challenging to maintain. Here, we demonstrate the spatiotemporal optical coherence tomography
(STOC-T) as the new modality for high-speed, cellular-level volumetric imaging of the human retina in vivo. The cellular features become visible after applying digital aberration corrections. We also show that STOC-T provides cross-sectional images (B-scans) and, concurrently, high-resolution wide-field en face images of the inner and outer human retina layers.
Despite the rapid development of OCT, high-resolution in vivo imaging of human eye with penetration into deeper retinal layers and choroid is still a major challenge due to its sensitivity to coherent noise, such as speckle and crosstalk. To address that, we have developed a technique termed Spatio-Temporal Optical Coherence Tomography (STOC-T) that uses light with controlled spatial and temporal coherence to obtain high-contrasted coronal projection images of the choroid at various depths including that of choriocapillaris. It can also detect blood flow and reveal vascular networks in various chorioretinal layers that are otherwise invisible to OCT.
In this contribution, we report on in vivo retinal and choroid tissue imaging with Spatio-Temporal Optical Coherence Tomography (STOC-T) with a large field of view (9 x 4.6 mm2). We present en-face images of the retina's microstructure and choroid of the human eye with resolution enabling observation of single photoreceptors and choriocapillaris.
We recently demonstrated high-speed, high-resolution structural imaging of the human eye in vivo by spatiotemporal optical coherence tomography (STOC-T). STOC-T extends the Fourier-Domain Full-Field Optical Coherence Tomography (FD-FF-OCT) by the spatial phase modulation to improve the imaging depth and suppress coherent noises.
Here, we show that the dataset produced by STOC-T can be processed differently to reveal blood flow in the superficial and deep retina layers. Our method, denoted as multiwavelength LDH (MLDH) enables noninvasive visualization and quantification of the blood flow deep into the human retina at high speeds and high transverse resolution in vivo.
We present an optical imaging system, termed STOC-T, for retinal in vivo imaging that uses a multimode fiber for crosstalk noise reduction and a line camera for fast preview mode.
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