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MathWorks Inc isosurface function of a matlab software
Isosurface Function Of A Matlab Software, 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
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MathWorks Inc matlab function 'convhulln
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Isosurface Function, 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
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MathWorks Inc matlab function 'isosurface
Characterization of FLFM and imaging caliber samples. (a) Left panel, 3D view of a reconstructed 200-nm fluorescent bead using the MATLAB function <t>‘isosurface’.</t> Right panel, the reconstructed cross-sectional images and the corresponding profiles in x-y, y-z and x-z across the center of the bead, exhibiting FWHM values of 1.98 µm, 2.07 µm, and 4.39 µm in x, y, and z, respectively. (b) Wide-field (i) and raw FLFM (ii) images of 200-nm fluorescent beads located on the focal plane. The inset in (i) shows the zoomed-in image of the boxed region. A reconstructed axial stack of (ii) using wave-optics deconvolution (iii) and ray-optics integral (iv) models. (v) and (vi) show the zoomed-in images (left) and interpolated cross-sectional profiles (right) of the corresponding boxed regions in (iii) and (iv), respectively. FLFM with the wave-optics model has been shown to resolve two beads separated by 2.90 µm, confirmed by the inset in (i). (c) The reconstructed cross-sectional images (left panel) and profiles along the dashed lines (right panel) of a surface-stained 6-µm fluorescent bead using FLFM with the wave-optics (top row) and ray-optics (middle row) models. The hollow structure was clearly observed using the wave-optics model, while the ray-optics model failed to provide sufficient resolution. The same sample was also imaged using conventional LFM (bottom row) near the NIP, where strong artifacts prohibited proper visualization of lateral and axial structures. (d) Raw light-field (top) and reconstructed 3D FLFM (bottom) images of 200-nm fluorescent beads distributed in a volume. The reconstructed axial positions of four beads were identified at −28 µm, −22 µm, −9 µm and −5µm. The dashed lines in the raw image represent the edges of the square-shaped microlenses. (e) Top left, 3D reconstructed trajectories of 200-nm fluorescent beads suspended in water and axially separated by > 30 µm, tracked at a volume acquisition time of 100 ms (see Visualization 1). Top right, zoomed-in 3D trajectory of the corresponding boxed region in the left image. Bottom, the trajectories of the beads in x-y, x-z, and y-z. Different time-points are linearly color-coded from 0 to 4 s. The FLs of fFL=75mm (a, c, d) and fFL=100mm (b, e) were employed. Scale bars: 2 µm (a, b (i, v, vi)), 5 µm (c), 20 µm (b (ii), d), 10 µm (b (iii, iv), e).
Matlab Function 'isosurface, 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
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MathWorks Inc discrete 3d mesh vectors
Characterization of FLFM and imaging caliber samples. (a) Left panel, 3D view of a reconstructed 200-nm fluorescent bead using the MATLAB function <t>‘isosurface’.</t> Right panel, the reconstructed cross-sectional images and the corresponding profiles in x-y, y-z and x-z across the center of the bead, exhibiting FWHM values of 1.98 µm, 2.07 µm, and 4.39 µm in x, y, and z, respectively. (b) Wide-field (i) and raw FLFM (ii) images of 200-nm fluorescent beads located on the focal plane. The inset in (i) shows the zoomed-in image of the boxed region. A reconstructed axial stack of (ii) using wave-optics deconvolution (iii) and ray-optics integral (iv) models. (v) and (vi) show the zoomed-in images (left) and interpolated cross-sectional profiles (right) of the corresponding boxed regions in (iii) and (iv), respectively. FLFM with the wave-optics model has been shown to resolve two beads separated by 2.90 µm, confirmed by the inset in (i). (c) The reconstructed cross-sectional images (left panel) and profiles along the dashed lines (right panel) of a surface-stained 6-µm fluorescent bead using FLFM with the wave-optics (top row) and ray-optics (middle row) models. The hollow structure was clearly observed using the wave-optics model, while the ray-optics model failed to provide sufficient resolution. The same sample was also imaged using conventional LFM (bottom row) near the NIP, where strong artifacts prohibited proper visualization of lateral and axial structures. (d) Raw light-field (top) and reconstructed 3D FLFM (bottom) images of 200-nm fluorescent beads distributed in a volume. The reconstructed axial positions of four beads were identified at −28 µm, −22 µm, −9 µm and −5µm. The dashed lines in the raw image represent the edges of the square-shaped microlenses. (e) Top left, 3D reconstructed trajectories of 200-nm fluorescent beads suspended in water and axially separated by > 30 µm, tracked at a volume acquisition time of 100 ms (see Visualization 1). Top right, zoomed-in 3D trajectory of the corresponding boxed region in the left image. Bottom, the trajectories of the beads in x-y, x-z, and y-z. Different time-points are linearly color-coded from 0 to 4 s. The FLs of fFL=75mm (a, c, d) and fFL=100mm (b, e) were employed. Scale bars: 2 µm (a, b (i, v, vi)), 5 µm (c), 20 µm (b (ii), d), 10 µm (b (iii, iv), e).
Discrete 3d Mesh Vectors, 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
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GraphPad Software Inc prism 6.04
Characterization of FLFM and imaging caliber samples. (a) Left panel, 3D view of a reconstructed 200-nm fluorescent bead using the MATLAB function <t>‘isosurface’.</t> Right panel, the reconstructed cross-sectional images and the corresponding profiles in x-y, y-z and x-z across the center of the bead, exhibiting FWHM values of 1.98 µm, 2.07 µm, and 4.39 µm in x, y, and z, respectively. (b) Wide-field (i) and raw FLFM (ii) images of 200-nm fluorescent beads located on the focal plane. The inset in (i) shows the zoomed-in image of the boxed region. A reconstructed axial stack of (ii) using wave-optics deconvolution (iii) and ray-optics integral (iv) models. (v) and (vi) show the zoomed-in images (left) and interpolated cross-sectional profiles (right) of the corresponding boxed regions in (iii) and (iv), respectively. FLFM with the wave-optics model has been shown to resolve two beads separated by 2.90 µm, confirmed by the inset in (i). (c) The reconstructed cross-sectional images (left panel) and profiles along the dashed lines (right panel) of a surface-stained 6-µm fluorescent bead using FLFM with the wave-optics (top row) and ray-optics (middle row) models. The hollow structure was clearly observed using the wave-optics model, while the ray-optics model failed to provide sufficient resolution. The same sample was also imaged using conventional LFM (bottom row) near the NIP, where strong artifacts prohibited proper visualization of lateral and axial structures. (d) Raw light-field (top) and reconstructed 3D FLFM (bottom) images of 200-nm fluorescent beads distributed in a volume. The reconstructed axial positions of four beads were identified at −28 µm, −22 µm, −9 µm and −5µm. The dashed lines in the raw image represent the edges of the square-shaped microlenses. (e) Top left, 3D reconstructed trajectories of 200-nm fluorescent beads suspended in water and axially separated by > 30 µm, tracked at a volume acquisition time of 100 ms (see Visualization 1). Top right, zoomed-in 3D trajectory of the corresponding boxed region in the left image. Bottom, the trajectories of the beads in x-y, x-z, and y-z. Different time-points are linearly color-coded from 0 to 4 s. The FLs of fFL=75mm (a, c, d) and fFL=100mm (b, e) were employed. Scale bars: 2 µm (a, b (i, v, vi)), 5 µm (c), 20 µm (b (ii), d), 10 µm (b (iii, iv), e).
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MathWorks Inc dicomread
MATLAB commands used in the image-processing steps described in Sec. 3.
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Image Search Results


Characterization of FLFM and imaging caliber samples. (a) Left panel, 3D view of a reconstructed 200-nm fluorescent bead using the MATLAB function ‘isosurface’. Right panel, the reconstructed cross-sectional images and the corresponding profiles in x-y, y-z and x-z across the center of the bead, exhibiting FWHM values of 1.98 µm, 2.07 µm, and 4.39 µm in x, y, and z, respectively. (b) Wide-field (i) and raw FLFM (ii) images of 200-nm fluorescent beads located on the focal plane. The inset in (i) shows the zoomed-in image of the boxed region. A reconstructed axial stack of (ii) using wave-optics deconvolution (iii) and ray-optics integral (iv) models. (v) and (vi) show the zoomed-in images (left) and interpolated cross-sectional profiles (right) of the corresponding boxed regions in (iii) and (iv), respectively. FLFM with the wave-optics model has been shown to resolve two beads separated by 2.90 µm, confirmed by the inset in (i). (c) The reconstructed cross-sectional images (left panel) and profiles along the dashed lines (right panel) of a surface-stained 6-µm fluorescent bead using FLFM with the wave-optics (top row) and ray-optics (middle row) models. The hollow structure was clearly observed using the wave-optics model, while the ray-optics model failed to provide sufficient resolution. The same sample was also imaged using conventional LFM (bottom row) near the NIP, where strong artifacts prohibited proper visualization of lateral and axial structures. (d) Raw light-field (top) and reconstructed 3D FLFM (bottom) images of 200-nm fluorescent beads distributed in a volume. The reconstructed axial positions of four beads were identified at −28 µm, −22 µm, −9 µm and −5µm. The dashed lines in the raw image represent the edges of the square-shaped microlenses. (e) Top left, 3D reconstructed trajectories of 200-nm fluorescent beads suspended in water and axially separated by > 30 µm, tracked at a volume acquisition time of 100 ms (see Visualization 1). Top right, zoomed-in 3D trajectory of the corresponding boxed region in the left image. Bottom, the trajectories of the beads in x-y, x-z, and y-z. Different time-points are linearly color-coded from 0 to 4 s. The FLs of fFL=75mm (a, c, d) and fFL=100mm (b, e) were employed. Scale bars: 2 µm (a, b (i, v, vi)), 5 µm (c), 20 µm (b (ii), d), 10 µm (b (iii, iv), e).

Journal: Optics Express

Article Title: Fourier light-field microscopy

doi: 10.1364/OE.27.025573

Figure Lengend Snippet: Characterization of FLFM and imaging caliber samples. (a) Left panel, 3D view of a reconstructed 200-nm fluorescent bead using the MATLAB function ‘isosurface’. Right panel, the reconstructed cross-sectional images and the corresponding profiles in x-y, y-z and x-z across the center of the bead, exhibiting FWHM values of 1.98 µm, 2.07 µm, and 4.39 µm in x, y, and z, respectively. (b) Wide-field (i) and raw FLFM (ii) images of 200-nm fluorescent beads located on the focal plane. The inset in (i) shows the zoomed-in image of the boxed region. A reconstructed axial stack of (ii) using wave-optics deconvolution (iii) and ray-optics integral (iv) models. (v) and (vi) show the zoomed-in images (left) and interpolated cross-sectional profiles (right) of the corresponding boxed regions in (iii) and (iv), respectively. FLFM with the wave-optics model has been shown to resolve two beads separated by 2.90 µm, confirmed by the inset in (i). (c) The reconstructed cross-sectional images (left panel) and profiles along the dashed lines (right panel) of a surface-stained 6-µm fluorescent bead using FLFM with the wave-optics (top row) and ray-optics (middle row) models. The hollow structure was clearly observed using the wave-optics model, while the ray-optics model failed to provide sufficient resolution. The same sample was also imaged using conventional LFM (bottom row) near the NIP, where strong artifacts prohibited proper visualization of lateral and axial structures. (d) Raw light-field (top) and reconstructed 3D FLFM (bottom) images of 200-nm fluorescent beads distributed in a volume. The reconstructed axial positions of four beads were identified at −28 µm, −22 µm, −9 µm and −5µm. The dashed lines in the raw image represent the edges of the square-shaped microlenses. (e) Top left, 3D reconstructed trajectories of 200-nm fluorescent beads suspended in water and axially separated by > 30 µm, tracked at a volume acquisition time of 100 ms (see Visualization 1). Top right, zoomed-in 3D trajectory of the corresponding boxed region in the left image. Bottom, the trajectories of the beads in x-y, x-z, and y-z. Different time-points are linearly color-coded from 0 to 4 s. The FLs of fFL=75mm (a, c, d) and fFL=100mm (b, e) were employed. Scale bars: 2 µm (a, b (i, v, vi)), 5 µm (c), 20 µm (b (ii), d), 10 µm (b (iii, iv), e).

Article Snippet: In contrast, the conventional ray-optics based integral model cannot provide sufficient resolution [ 14 , 15 ] ( ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Fig. 2. caption a7 Characterization of FLFM and imaging caliber samples. (a) Left panel, 3D view of a reconstructed 200-nm fluorescent bead using the MATLAB function ‘isosurface’.

Techniques: Imaging, Staining

MATLAB commands used in the image-processing steps described in Sec. 3.

Journal: Journal of medical robotics research

Article Title: Optimizing the Magnetic Dipole-Field Source for Magnetically Guided Cochlear-Implant Electrode-Array Insertions

doi: 10.1142/S2424905X18500046

Figure Lengend Snippet: MATLAB commands used in the image-processing steps described in Sec. 3.

Article Snippet: It also includes the results for the modiolar configuration, obtained in Sec. 4.2.2. shows analogous results using the brute-force approach of Sec. 4.2.3. shows the location of a 75-mm-radius one-size-fits-all MDS, optimized for each human subject to be robust to registration errors, obtained in Sec. 7. table ft1 table-wrap mode="anchored" t5 caption a7 Image-Processing Step MATLAB Command Convert DICOM data dicomread and dicominfo Black-and-white conversion im2bw and graythresh Skull boundary segmentation bwboundaries or bwtraceboudaries Skull boundary mask poly2mask Eroded mask imerode Filtering smooth3 Surface interpolation isosurface Surface normals isonormals Open in a separate window MATLAB commands used in the image-processing steps described in Sec. 3. table ft1 table-wrap mode="anchored" t5 caption a7 ID Gender (M/F) Age (yrs) Source Resolution (mm) Total Slices Pixel Slice P1 F 62 UU 0.41 0.6 89 P2 F 52 UU 0.41 2 39 P3 F 33 UU 0.41 2 37 P4 F 60 UU 0.41 2 37 P5 M 26 UU 0.44 5 16 P6 F 42 UU 0.41 2 30 P7 F 85 UU 0.41 4 16 P8 F 21 UU 0.39 5 15 P9 F 32 UU 0.41 5 15 P10 F 65 UU 0.47 0.6 115 P11 F 39 UU 0.49 3 23 P12 M 48 UU 0.44 2 39 P13 F 51 UU 0.43 1 68 P14 M 64 UU 0.46 5 17 P15 F 47 UU 0.34 2 25 P16 M 79 UU 0.59 2 36 P17 F 48 UU 0.43 2 33 P18 F 52 UU 0.33 0.7 82 P19 F 29 UU 0.57 2 32 P20 F 39 UU 0.41 2 31 P21 F 37 UU 0.59 2 36 P22 F 36 UU 0.38 5 12 P23 F 60 UU 0.41 0.6 98 P24 M 36 UU 0.46 2 31 P25 F 67 UU 0.39 1 78 P26 M 83 UU 0.41 1 47 P27 F 44 UU 0.32 2 31 P28 M 8 UU 0.45 1 161 C1 M — NLM 0.79 1.45 183 C2 F — NLM 0.54 1 249 Open in a separate window Database of human-subject CT scans.

Techniques: