matlab-generated image Search Results


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MathWorks Inc nifti and analyze image tools
Nifti And Analyze Image Tools, 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 imgaussfilt command
Imgaussfilt Command, 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 2018a
Matlab 2018a, 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 r2019a
PA maps and corresponding PA histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, and ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged PA values for tendon, articular cartilage (Zone B), cortical bone (Zone A), and fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. Image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower pitch angle as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the pitch angle can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The mean values of the healing tissue follow similar trend as that of the control tissue, despite the healing tissues not being significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB <t>R2019a</t> (Version: 9.6.0.1072779, <t>https://www.mathworks.com/products/new_products/release2019a.html</t> ).
Matlab R2019a, 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 c ++ package for kernel graph cut segmentation
PA maps and corresponding PA histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, and ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged PA values for tendon, articular cartilage (Zone B), cortical bone (Zone A), and fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. Image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower pitch angle as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the pitch angle can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The mean values of the healing tissue follow similar trend as that of the control tissue, despite the healing tissues not being significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB <t>R2019a</t> (Version: 9.6.0.1072779, <t>https://www.mathworks.com/products/new_products/release2019a.html</t> ).
C ++ Package For Kernel Graph Cut Segmentation, 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 16-bit grayscale image
PA maps and corresponding PA histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, and ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged PA values for tendon, articular cartilage (Zone B), cortical bone (Zone A), and fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. Image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower pitch angle as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the pitch angle can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The mean values of the healing tissue follow similar trend as that of the control tissue, despite the healing tissues not being significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB <t>R2019a</t> (Version: 9.6.0.1072779, <t>https://www.mathworks.com/products/new_products/release2019a.html</t> ).
16 Bit Grayscale Image, 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 rgb images
a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are <t>RGB</t> merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. <t>The</t> <t>spectral</t> cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.
Rgb Images, 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 pivlab
a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are <t>RGB</t> merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. <t>The</t> <t>spectral</t> cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.
Pivlab, 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-generated live-cell imaging gui
a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are <t>RGB</t> merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. <t>The</t> <t>spectral</t> cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.
Matlab Generated Live Cell Imaging Gui, 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 averaged images of each z-plane
a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are <t>RGB</t> merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. <t>The</t> <t>spectral</t> cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.
Averaged Images Of Each Z Plane, 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-based image analysis program
a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are <t>RGB</t> merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. <t>The</t> <t>spectral</t> cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.
Matlab Based Image Analysis Program, 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 msireader v.1.01
a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are <t>RGB</t> merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. <t>The</t> <t>spectral</t> cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.
Msireader V.1.01, 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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Image Search Results


PA maps and corresponding PA histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, and ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged PA values for tendon, articular cartilage (Zone B), cortical bone (Zone A), and fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. Image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower pitch angle as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the pitch angle can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The mean values of the healing tissue follow similar trend as that of the control tissue, despite the healing tissues not being significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: PA maps and corresponding PA histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, and ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged PA values for tendon, articular cartilage (Zone B), cortical bone (Zone A), and fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. Image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower pitch angle as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the pitch angle can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The mean values of the healing tissue follow similar trend as that of the control tissue, despite the healing tissues not being significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

SHG-CD maps and corresponding SHG-CD histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged SHG-CD values for tendon, articular cartilage (Zone B), cortical bone (Zone A), fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. The image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower SHG-CD value as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the SHG-CD value can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The healing tissues are significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: SHG-CD maps and corresponding SHG-CD histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged SHG-CD values for tendon, articular cartilage (Zone B), cortical bone (Zone A), fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. The image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower SHG-CD value as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the SHG-CD value can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The healing tissues are significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

AP maps and corresponding AP histograms for ( a , b ) bone fracture repair at 2 weeks and ( c , d ) bone fracture repair at 4 weeks. ( e ) Averaged AP values for tendon, articular cartilage (Zone B), cortical bone (Zone A), fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. The image size is 50 × 50 μm 2 . The bar graph corresponding to the collagen II rich healing tissue at 2 weeks and collagen I rich healing tissue at 4 weeks exhibits a gradual reduction of collagen II along with the simultaneous increase of collagen I. The healing tissues are significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: AP maps and corresponding AP histograms for ( a , b ) bone fracture repair at 2 weeks and ( c , d ) bone fracture repair at 4 weeks. ( e ) Averaged AP values for tendon, articular cartilage (Zone B), cortical bone (Zone A), fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. The image size is 50 × 50 μm 2 . The bar graph corresponding to the collagen II rich healing tissue at 2 weeks and collagen I rich healing tissue at 4 weeks exhibits a gradual reduction of collagen II along with the simultaneous increase of collagen I. The healing tissues are significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

( a ) SHG intensity, ( b ) PA, (c) SHG-CD, and ( d ) AP image maps at increasing depth of articular cartilage. Size of individual stitched images is 50 × 50 μm 2 . Overall depth imaged is 500 µm. All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: ( a ) SHG intensity, ( b ) PA, (c) SHG-CD, and ( d ) AP image maps at increasing depth of articular cartilage. Size of individual stitched images is 50 × 50 μm 2 . Overall depth imaged is 500 µm. All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

Mean bar graphs for ( a ) PA, ( b ) SHG-CD, and ( c ) AP response of collagen at increasing depth of articular cartilage (0–500 μm). Error bars represent standard error of mean. All the bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: Mean bar graphs for ( a ) PA, ( b ) SHG-CD, and ( c ) AP response of collagen at increasing depth of articular cartilage (0–500 μm). Error bars represent standard error of mean. All the bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are RGB merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. The spectral cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.

Journal: Communications Biology

Article Title: UFObow: A single-wavelength excitable Brainbow for simultaneous multicolor ex-vivo and in-vivo imaging of mammalian cells

doi: 10.1038/s42003-024-06062-3

Figure Lengend Snippet: a A three-dimensional (3D) view of spatial distribution of MPs and blood vessels in the left lateral lobe of liver. The 3D reconstruction image is made of 1762 fluorescence images (881 slices) with an imaging resolution of 0.32 μm × 0.32 μm × 3 μm (X × Y × Z). Scale bar, 1000 μm. b A 3D view of a typical liver lobule. The boundary of the liver lobule is determined based on the location of PVs (white spots) and marked with yellow dashed line. The CV is marked with magenta dashed line. The red rectangle represents a cell group with similar color. Scale bar, 300 μm. c Quantitative analysis of spatial distribution of immune cells in liver lobules. The greater the distribution index is, the closer to CV an immune cell is. The width of each bar is 0.04 units of the distribution index. The trend line highlighted in red is fitted by the sigmoid function. Data are presented as mean ± SEM (n = 7 single images). d The HS plot of cell clusters for cells in ( a ). 75 clusters (C1-C75) were achieved from 1332 cells in 4 single images. The SD and R values are 7.67% and 20.08%, respectively. e Fluorescence images of combined six slices from ( a ). Top and bottom panels are RGB merge images (same as Figs. and ) and HS pseudo-color images (See Supplementary Fig. ), respectively. The spectral cross-talk in ( e ) has been corrected. All CVs are marked with yellow arrows. Two adjacent MP cells with the same color are framed by a square box. Scale bar in the large images, 600 μm. Scale bar in the enlarged images, 100 μm.

Article Snippet: For RGB merge images, raw fluorescence images were first subtracted from the background, uncorrected or corrected for the spectral cross-talk, and then imported into Fiji or MATLAB for generating RGB images.

Techniques: Fluorescence, Imaging