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statistical package software version v.9.9.0.225 (sr1) originpro 2022  (OriginLab corp)


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    OriginLab corp statistical package software version v.9.9.0.225 (sr1) originpro 2022
    Statistical Package Software Version V.9.9.0.225 (Sr1) Originpro 2022, supplied by OriginLab corp, 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/product/originpro+sr1+2022/statistical+package+software+version+v+9+9+0+225++sr1++originpro+2022/pmc11703994-113-27-35
    Average 90 stars, based on 1 article reviews
    statistical package software version v.9.9.0.225 (sr1) originpro 2022 - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Contractile and Genetic Characterization of Cardiac Constructs Engineered from Human Induced Pluripotent Stem Cells: Modeling of Tuberous Sclerosis Complex and the Effects of Rapamycin
    Article Snippet: Statistical analysis was performed using Microsoft Excel 2021 (Microsoft Corporation, Redmond, WA, USA) and OriginPro SR1 2022 (OriginLab Corp, Northampton, MA, USA).



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    Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 <t>SR1,</t> https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).
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    Image Search Results


    Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques:

    Comparison of filtering algorithms (r represents the correlation coefficient, and SD represents the standard deviation. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Comparison of filtering algorithms (r represents the correlation coefficient, and SD represents the standard deviation. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques: Comparison, Standard Deviation

    NDVI phenological features (Group the 13 phenological features into 3 sets based on their value ranges for comparative analysis. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: NDVI phenological features (Group the 13 phenological features into 3 sets based on their value ranges for comparative analysis. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques:

    Typical land cover NDVI curve and one standard deviation (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Typical land cover NDVI curve and one standard deviation (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques: Standard Deviation

    VV/VH polarization characteristic curve (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: VV/VH polarization characteristic curve (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques:

    Classification feature heat map (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Classification feature heat map (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques:

    Feature importance analysis and feature selection: ( a ) Feature importance statistics and overall accuracy change chart, ( b ) feature selection strategy (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Feature importance analysis and feature selection: ( a ) Feature importance statistics and overall accuracy change chart, ( b ) feature selection strategy (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques: Selection

    Confusion matrix plot of land cover classification results (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Confusion matrix plot of land cover classification results (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques:

    Extraction of multiple fruit tree areas (The first image selects four representative plots and calculates the planted area of fruit trees, ( a–f ) represents the recognition performance of six models. Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information, https://www.webmap.cn/commres.do?method=dataDownload . The satellite imagery data source: Sentinel-2, https://developers.google.com/earth-engine/datasets/catalog?filter=COPERNICUS%2FS2 ).

    Journal: Scientific Reports

    Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

    doi: 10.1038/s41598-024-68991-7

    Figure Lengend Snippet: Extraction of multiple fruit tree areas (The first image selects four representative plots and calculates the planted area of fruit trees, ( a–f ) represents the recognition performance of six models. Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information, https://www.webmap.cn/commres.do?method=dataDownload . The satellite imagery data source: Sentinel-2, https://developers.google.com/earth-engine/datasets/catalog?filter=COPERNICUS%2FS2 ).

    Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

    Techniques: Extraction, Plasmid Preparation