Fig. 1. Schematic of wide-field parallel spectral domain OCT system. (a) Top view; (b) side view

Fig. 2. OCT images of glass samples. (a)(b) Sample with surface defects; (c)(d) sample with internal defects; (e)(f) sample with bubble defects

Fig. 3. (a1) Divided defect region based on axial interface signal; (a2) glass surface micromorphology based on phase information from interface signal; (b1) overlapped image of Fig. 3(a1) and Fig.3(a2); (b2)(b3) local amplification of Fig. 3(b1); (c) low-magnification microscopic image with defects; (d) high-magnification microscopi image with defects; (e) phase-contrast microscopic image with defects

Fig. 4. Statistical test results of distinguishment of real and fake defects for overlapped images of 67 different media. (a) Dust particles with sizes of 25-800 μm; (b) embedded defects with sizes of 25-1200 μm

Fig. 5. Schematic of spectrally encoded parallel spectral domain OCT system

Fig. 6. Flow chart of ODC algorithm. (a) Correction for bulk pixel shifts; (b) correction for global phase fluctuations; (c) spectral stitching

Fig. 7. Flow charts and processing time contrast of CDC and ODC algorithm

Fig. 8. Motion artifact correction results of resolution test target samples. (a1) Uncorrected three-dimensional OCT images; (a2) corrected three-dimensional OCT images by ODC algorithm; (b) pre-set and ODC- algorithm-estimated motion trajectories; (c1) uncorrected surface phase map; (c2) unwrapped surface phase map; (c3) CDC-algorithm-corrected surface phase map; (c4) ODC-algorithm-corrected surface phase map

Fig. 9. Motion artifact correction of OCT images of fresh leaves. (a1)(b1)Three-dimensional OCT images with motion artifacts; (a2)(b2) top view of projection; (a3)(b3) side view of projection; (c) corresponding leaf images; (d1)-(d5) uncorrected images; (e1)-(e5) corrected images