Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Schematic diagram of image segmentation and 3D reconstruction based on the BiSeNetV2 network. (a) The OCT probe moves uniformly along the predetermined path, capturing consecutive OCT B-scans. (b) Architecture of the BiSeNetV2 model. (c) 3D visualization after background removal through segmentation. (d) 3D visualization prior to segmentation. (e) OCT B-scan image. (f) Segmentation prediction result.

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques:

Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Experimental results of scanning skin phantom. (a) Photograph of the skin phantom with black paper strips pasted on it as a size reference. (b) 3D OCT visualization. (c) Point cloud obtained by structured light camera (blue) and OCT surface point cloud (sparse sampling). (d) Stitched en face OCT image of the phantom surface. (e) Depth-encoded map of the scanned region. (f) and (g) OCT cross-sections at the yellow and red lines in (b), respectively.

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques: Sampling

Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Results of large area imaging on the isolated kidney. (a) Photographs depicting the isolated kidney and the selection of the region of interest (ROI). (b) 3D OCT visualization. (c) Color point cloud captured by the structured light camera. (d) Stitched en face OCT image displaying the surface of the kidney. (e) Depth-encoded map representing the scanned region. (f) B-scan and semantic segmentation results. (g) and (h) OCT cross-sections captured at the yellow and red lines shown in (b), respectively.

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques: Imaging, Isolation, Selection

Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Large area imaging results of the skin on the back of the hand with scars. (a) The hand was immobilized to minimize tremors during the imaging process. (b) 3D visualization of the hand's skin using OCT imaging. (c) Color point cloud captured by the structured light camera. (d) Stitched en face image displaying the surface of the skin, with clearly distinguishable scars indicated by red arrows. (e) Depth-encoded map representing the scanned area. (f) Cross-section of scar tissue. (g), (h) OCT cross-sections captured at the yellow and red lines shown in (b), respectively. High resolution image of (h) shown in Dataset 1 (Ref. [43]).

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques: Imaging

Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Large area imaging results of the leaf blade. (a) Photograph of the leaf blade highlighting the scanned area. (b) 3D visualization. (c) Color point cloud captured by the structured light camera. (d) Stitched en face image showcasing the surface of the leaf, with distinct visualization of leaf edges and veins. (e) Depth-encoded map representing the scanned area of the leaf. (f) The B-scan image provides a cross-sectional view of the blade structure. (g) and (h) OCT cross-sections captured at the yellow and red lines indicated in (b), respectively. High resolution image of (h) shown in Dataset 1 (Ref. [43]).

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques: Imaging

Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Large area imaging results of citrus. (a) Photograph depicting the citrus sample and the corresponding scanned area. (b) 3D visualization. (c) Color point cloud captured by the structured light camera. (d) Stitched en face image showcasing the surface of the citrus, with clear visualization and distinction of the scars. (e) Depth-encoded map representing the scanned area of the citrus. (f) B-scan images depicting cross-sections of scar tissue. (g) and (h) OCT cross-sections captured at the yellow and red lines indicated in (b), respectively. High resolution image of (h) shown in Dataset 1 (Ref. [43]).

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques: Imaging

Journal: Biomedical Optics Express

Article Title: Automated robot-assisted wide-field optical coherence tomography using structured light camera

doi: 10.1364/BOE.496710

Figure Lengend Snippet: Large area imaging results of ceramics. (a) Photograph illustrating the ceramic sample and the corresponding scanned area. (b) 3D visualization. (c) Color point cloud captured by the structured light camera. (d) Stitched en face image of the ceramic surface, showcasing areas of high surface reflection and brightness. (e) Depth-coded map representing the scanned area of the ceramics, facilitating depth visualization. (f) Semantic segmentation results with the background portion highlighted in green, the enamel portion highlighted in yellow, and the base highlighted in red. (g) and (h) OCT cross-sections captured at the yellow and red lines indicated in (b), respectively, allowing detailed analysis at specific locations within the ceramics. High resolution image of (h) shown in Dataset 1 (Ref. [43]).

Article Snippet: The 3D structured light camera (RVC-I2370, RVBUST, Inc.) utilizes 465 nm blue stripe structured light and an advanced point cloud synthesis algorithm to capture images of a surface.

Techniques: Imaging