Optical Coherence Tomography (OCT) is a non-invasive optical imaging modality that provides high-resolution real-time 3D images. Using an interferometry technique, OCT can differentiate the back-scattered light from different layers within the sample and reconstruct the microstructure of tissue. The resolution of an OCT system depends on the coherence length of the light source. With a low-coherence light source (i.e. shorter center wavelength and broader bandwidth), cellular images with an axial resolution lower than one micron can be achieved. (Fig. 1)
ApolloVue™ is a Mirau-based full-field OCT system. (Fig. 2) The photodiode in a conventional OCT system is replaced by a camera in a full-field OCT system. The parallel detection mechanism greatly increases the scanning speed. ApolloVue™ also takes advantage of a Mirau interferometer, which combines both reference and sample optical paths after the objective lens. It reduces the size of the FF-OCT system and enables the scanning of sample and reference arms simultaneously, avoiding the walk-off of confocal and coherence gating and thereby increasing the scan depth. Furthermore, by scanning an en-face image plane with the coherence and confocal gates matched, OCM does not suffer from depth-of-field limitations present in standard depth scanning OCT and can achieve micron scale transverse image resolutions.
High resolution imaging
Cellular imaging has also been carried out using a confocal microscopy technique with a high numerical aperture (NA) objective. Another reason to use a high NA objective is to have an acceptable axial resolution (i.e. five to ten microns); however, this approach limits the imaging depth of an optical imaging system. Full-field OCT can achieve high axial resolution with a lower numerical aperture compared to confocal microscopy because axial sectioning is performed with both confocal gating and coherence gating. ApolloVue™ achieves one micron resolution in both axial and lateral directions and also provides both en-face and cross-sectional cellular images. (Fig. 3)