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 Bioptigen SDOIS

Bioptigen SDOIS

The Bioptigen Spectral Domain Ophthalmic Imaging System (SDOIS) is intended to acquire, process, display, and save depth-resolved images of ocular tissue microstructure using Spectral Domain Optical Coherence Tomography (SDOCT). It is primarily intended for the imaging of retinal tissue, but the cornea, sclera, and conjunctiva can also be imaged by changing the focal position. Indications for use include the evaluation of ophthalmic tissue in routine clinical examinations and as an aid in the diagnosis of conditions that affect the optical scattering properties of ocular tissue.

This sophisticated OCT hardware and software system enables real-time non-invasive imaging of internal tissue microstructure, extending the SDOCT application space to include imaging of humans patients throughout the clinical environment and imaging a wide range of animal subjects. These advances may enable researchers to open up new avenues of biological exploration and development and to foster advances in disease detection and management.

The Bioptigen SDOIS is ideally suited to image the retina in small animals (rodents, rabbits), large animals (such as dogs and pigs), and humans. Bioptigen's products enable the researcher to resolve the microstructures of the retina in fine detail, such as the nerve fiber layer, the inner and outer plexiform and nuclear layers, and those of the retinal pigment epithelium, and the vessels of the choroid. The tissue structure of the cornea, conjunctiva and sclera can also be very clearly visualized with a mere change in focal position and no increase in optical power.


Bioptigen's InVivoVueTM Clinic software suite works in tandem with the SDOIS optics and engine to offer intuitive and flexible system control with advanced functionality including high-speed volume acquisition and imaging, volume intensity projections for generating en face images (similar to the fundus images acquired of the retina) that enable accurate cross-sectional image registration, and Doppler processing for quantifying system dynamics and flows. Two unique, powerful features are the ability to reprocess the acquired spectral data and the ability to perform automated dispersion compensation optimization. These features give the imager the ability to optimize image quality even after acquisition is complete and to apply new processing to image files as the technology improves. Images can be saved in one of several different formats, allowing for the data to be exported to other applications for further processing, measurement, segmentation or 3D rendering.

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