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fiji imagej 1 52 d  (Oxford Instruments)


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    Oxford Instruments fiji imagej 1 52 d
    Fiji Imagej 1 52 D, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 44474 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+2017b+code/Imaris/pmc07855610-252-7-10
    Average 99 stars, based on 44474 article reviews
    fiji imagej 1 52 d - by Bioz Stars, 2026-10
    99/100 stars

    Images

    Related Articles

    Software:

    Article Title: Morphological plasticity facilitates lung adaptation and dynamic immune remodeling in Mycobacterium abscessus infection
    Article Snippet: .. To quantify bacterial internalization versus extracellular adherence, z-stack images (step size: 0.3 μm) were acquired and subjected to 3D volumetric reconstruction using Imaris v9.5 software. ..

    Article Title: Chrysanthemum Morifolium– Derived Nanovesicles Reduce Lactate‐Associated Histone Lactylation and Modulate Microglia‐Mediated Neuroinflammation in Sepsis‐Associated Encephalopathy
    Article Snippet: An excitation wavelength of 488 nm and emission wavelength of 519 nm were employed to visualize the Iba‐1 protein. .. Images of microglial branch nodes (1024 × 1024 pixel) and total branch length were reconstructed and quantitatively analyzed using the “Filaments” module of the Imaris 10.1.0 software. ..

    Morphology:

    Article Title: Frontal cortical neuroinflammation and circulating biomarkers following cardiopulmonary bypass in sheep.
    Article Snippet: Images were acquired using the Nikon-Crest Spinning Disk Confocal microscope, at 40× magnification (objective Plan-Apochromat, 40×/1.25, silicone), with the systemrecommended 0.35 μm step size for a z-stack size of 20.1 μm. .. Microglial morphology was analysed in Imaris v10.2 (Oxford Instruments, Abingdon, UK) [30]. ..

    other:

    Article Title: Multiple motor proteins regulate TDP-43 anterograde axonal transport.
    Article Snippet: a—top Representative micrographs of particles movement, segmentation and tracking determined with Imaris spots tracking algorithms.



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    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB <t>2017b</t> by using imagesc and plot commands, respectively.
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    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB <t>2017b</t> by using imagesc and plot commands, respectively.
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    Image Search Results


    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB 2017b by using imagesc and plot commands, respectively.

    Journal: Scientific Reports

    Article Title: Multi-staged gene expression profiling reveals potential genes and the critical pathways in kidney cancer

    doi: 10.1038/s41598-022-11143-6

    Figure Lengend Snippet: Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB 2017b by using imagesc and plot commands, respectively.

    Article Snippet: MATLAB 2017b codes and the command line codes have been used for figure plotting and during analysis.

    Techniques: Expressing, Generated

    Connectivity in the selected networks (where the gene connectivity is not visible), for the top 30 genes matched with those pathways which are enriched for the DEGs list. ( a – f ) Connectivity of the genes in the network for Stage I and II of U133A. These sub-figures were plotted by using MATLAB 2017b by using plot command and afterward dot option was selected and the line was removed.

    Journal: Scientific Reports

    Article Title: Multi-staged gene expression profiling reveals potential genes and the critical pathways in kidney cancer

    doi: 10.1038/s41598-022-11143-6

    Figure Lengend Snippet: Connectivity in the selected networks (where the gene connectivity is not visible), for the top 30 genes matched with those pathways which are enriched for the DEGs list. ( a – f ) Connectivity of the genes in the network for Stage I and II of U133A. These sub-figures were plotted by using MATLAB 2017b by using plot command and afterward dot option was selected and the line was removed.

    Article Snippet: MATLAB 2017b codes and the command line codes have been used for figure plotting and during analysis.

    Techniques: