A design of FFOCT imaging system based on InGaAs camera

The full-field optical coherence tomography (FFOCT) has been used to reconstruct the depth information and recover 3D object details at various depths. However, the current FFOCT system employs silicon-based detectors such as CMOS to capture optical signals, while the system sensitivity may degrade significantly when the wavelength of signals is longer than 1000 nm. Instead, the camera array based on Indium Gallium Arsenide (InGaAs) is capable to respond properly for signals with the wavelength ranging from 900 to 1700 nm. Therefore, in this paper, we first build an FFOCT hardware system based upon InGaAs camera. Furthermore, we study the unignorable noise and the low contrast in the detected image. Then, we design a post-processing algorithm to remove the noise and restore the objects in the image. Experimental results have shown that the whole system is capable of clearly showing the biomedical structure within cells.