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MathWorks Inc vol3d v2
Vol3d V2, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vol3d v2/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
vol3d v2 - by Bioz Stars, 2026-05
90/100 stars

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MathWorks Inc vol3d
Trade-offs between imaging speed and fidelity for HeLa cells stained with Syto41 (nucleic acids, green) (a). Full image of bottom plane (depth of −1.25 µm) of volume constructed using 3D-FASTR with crop region outlined in purple. (b). Cropped image at 100% Tvol (11.6s) serves as image quality reference. (c/d). Volume representation of neighboring scanned voxels displayed using the <t>MATLAB</t> function <t>Vol3D</t> developed by Joe Conti [20]. These volumes show the number of scanned neighbors for each voxel position with a shift number of (c). m = 1 vs. (d). m = 7. (e-g). Comparison of scanned voxels and final image quality of images acquired at 50% Tvol (5.8s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. (h-j). Comparison of scanned voxels and final image quality of images acquired in 25% Tvol (2.9s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. Orange arrows in (f) and (i) highlight curvature artifacts caused by inadequate sampling at 25% Tvol that is remedied by increasing n from 8 to 35.
Vol3d, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vol3d/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
vol3d - by Bioz Stars, 2026-05
90/100 stars
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MathWorks Inc matlab function vol3d
Trade-offs between imaging speed and fidelity for HeLa cells stained with Syto41 (nucleic acids, green) (a). Full image of bottom plane (depth of −1.25 µm) of volume constructed using 3D-FASTR with crop region outlined in purple. (b). Cropped image at 100% Tvol (11.6s) serves as image quality reference. (c/d). Volume representation of neighboring scanned voxels displayed using the <t>MATLAB</t> function <t>Vol3D</t> developed by Joe Conti [20]. These volumes show the number of scanned neighbors for each voxel position with a shift number of (c). m = 1 vs. (d). m = 7. (e-g). Comparison of scanned voxels and final image quality of images acquired at 50% Tvol (5.8s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. (h-j). Comparison of scanned voxels and final image quality of images acquired in 25% Tvol (2.9s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. Orange arrows in (f) and (i) highlight curvature artifacts caused by inadequate sampling at 25% Tvol that is remedied by increasing n from 8 to 35.
Matlab Function Vol3d, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab function vol3d/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab function vol3d - by Bioz Stars, 2026-05
90/100 stars
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Trade-offs between imaging speed and fidelity for HeLa cells stained with Syto41 (nucleic acids, green) (a). Full image of bottom plane (depth of −1.25 µm) of volume constructed using 3D-FASTR with crop region outlined in purple. (b). Cropped image at 100% Tvol (11.6s) serves as image quality reference. (c/d). Volume representation of neighboring scanned voxels displayed using the MATLAB function Vol3D developed by Joe Conti [20]. These volumes show the number of scanned neighbors for each voxel position with a shift number of (c). m = 1 vs. (d). m = 7. (e-g). Comparison of scanned voxels and final image quality of images acquired at 50% Tvol (5.8s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. (h-j). Comparison of scanned voxels and final image quality of images acquired in 25% Tvol (2.9s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. Orange arrows in (f) and (i) highlight curvature artifacts caused by inadequate sampling at 25% Tvol that is remedied by increasing n from 8 to 35.

Journal: Optics Express

Article Title: Continuous focal translation enhances rate of point-scan volumetric microscopy

doi: 10.1364/OE.27.036241

Figure Lengend Snippet: Trade-offs between imaging speed and fidelity for HeLa cells stained with Syto41 (nucleic acids, green) (a). Full image of bottom plane (depth of −1.25 µm) of volume constructed using 3D-FASTR with crop region outlined in purple. (b). Cropped image at 100% Tvol (11.6s) serves as image quality reference. (c/d). Volume representation of neighboring scanned voxels displayed using the MATLAB function Vol3D developed by Joe Conti [20]. These volumes show the number of scanned neighbors for each voxel position with a shift number of (c). m = 1 vs. (d). m = 7. (e-g). Comparison of scanned voxels and final image quality of images acquired at 50% Tvol (5.8s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. (h-j). Comparison of scanned voxels and final image quality of images acquired in 25% Tvol (2.9s) for different values of n and m. The left-hand side shows the raw images with unsampled pixels labelled blue. The right-hand side shows the image after interpolation. Orange arrows in (f) and (i) highlight curvature artifacts caused by inadequate sampling at 25% Tvol that is remedied by increasing n from 8 to 35.

Article Snippet: Volume representation of neighboring scanned voxels displayed using the MATLAB function Vol3D developed by Joe Conti [ 20 ].

Techniques: Imaging, Staining, Construct, Comparison, Sampling

Representative frame from Visualization 1 showing the real-time imaging of the cells shown in Fig. 8 sampled at R = 35 + 7/16 cy/fr. (top left) Raw XY Slice 1 (bottom of volume) at 2.89s or 25% Tvol. The blue voxels are unsampled. (top middle) Interpolated XY Slice 1. (bottom left) Raw XY Slice 8 (middle of volume). (bottom middle) Interpolated XY Slice 1. (top right) 3D volumetric image stack generated using Vol3D [20] at 25% Tvol. (bottom right) Map of number of nearest neighbors for each voxel, ranging from 0 to a maximum of 6. The “Fill” bar represents how many voxels in the volume are sampled versus time, with 100% representing a perfect sampling. The green portion is the number of actually sampled voxels, while the red is the theoretical maximum.

Journal: Optics Express

Article Title: Continuous focal translation enhances rate of point-scan volumetric microscopy

doi: 10.1364/OE.27.036241

Figure Lengend Snippet: Representative frame from Visualization 1 showing the real-time imaging of the cells shown in Fig. 8 sampled at R = 35 + 7/16 cy/fr. (top left) Raw XY Slice 1 (bottom of volume) at 2.89s or 25% Tvol. The blue voxels are unsampled. (top middle) Interpolated XY Slice 1. (bottom left) Raw XY Slice 8 (middle of volume). (bottom middle) Interpolated XY Slice 1. (top right) 3D volumetric image stack generated using Vol3D [20] at 25% Tvol. (bottom right) Map of number of nearest neighbors for each voxel, ranging from 0 to a maximum of 6. The “Fill” bar represents how many voxels in the volume are sampled versus time, with 100% representing a perfect sampling. The green portion is the number of actually sampled voxels, while the red is the theoretical maximum.

Article Snippet: Volume representation of neighboring scanned voxels displayed using the MATLAB function Vol3D developed by Joe Conti [ 20 ].

Techniques: Imaging, Generated, Sampling