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3d histech quantcenter software  (3DHistech ltd)

 
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    Structured Review

    3DHistech ltd 3d histech quantcenter software
    3d Histech Quantcenter Software, supplied by 3DHistech ltd, 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/quantcenter/3d+histech+quant+center+2+1/pm40518732-44-9-13
    Average 90 stars, based on 1 article reviews
    3d histech quantcenter software - by Bioz Stars, 2026-09
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: MEK1/2 inhibition transiently alters the tumor immune microenvironment to enhance immunotherapy efficacy against head and neck cancer
    Article Snippet: After stripping, the tissues were incubated with α-PD-1 antibody (Cell Signaling Technology, 1:250) for 1 h at room temperature, washed, and stained again with rabbit HRP-conjugated secondary antibody, followed by staining with FP1487001KT.

    Article Title: Optimal Approaches to Grading Entero-Pancreatic Neuroendocrine Tumors Using Ki-67 Proliferation Index (Hotspot and Whole Slide Digital Quantitative Analysis).
    Article Snippet: Digital image analysis was performed using a previously validated algorithm in QuantCenter (3DHISTECH, Budapest, Hungary), which facilitated precise quantification and thresholding of immunoreactive tumor cells.

    Software:

    Article Title: Neuropilin-1 is over-expressed in claudin-low breast cancer and promotes tumor progression through acquisition of stem cell characteristics and RAS/MAPK pathway activation
    Article Snippet: .. Slides were scanned by the Panoramic Digital Slide Scanner (3DHISTECH) and analyzed with CaseViewer software using QuantCenter (3DHISTECH). ..

    Article Title: Digital Whole Slide Image Analysis of Elevated Stromal Content and Extracellular Matrix Protein Expression Predicts Adverse Prognosis in Triple-Negative Breast Cancer
    Article Snippet: .. Our results, obtained through DIA, demonstrate that QuantCenter, a commercial module integrated with 3DHISTECH’s SlideViewer software, is a valuable tool for objectively analyzing digitized slides. ..

    Article Title: Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software.
    Article Snippet: License jove.com April 2024 • 206 • e66743 • Page 1 of 20 Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software Esraa Ali1, Lenka Červenková2,3, Richard Pálek2,4, Filip Ambrozkiewicz1, Sergii Pavlov1, Wenjing Ye1, Petr Hošek2, Ondrej Daum5,6, Václav Liška2,4, Kari Hemminki1,7, Andriy Trailin1 1 Laboratory of Translational Cancer Genomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University 2 Laboratory of Cancer Treatment and Tissue Regeneration, Biomedical Center, Faculty of Medicine in Pilsen, Charles University 3 Department of Pathology, Third Faculty of Medicine, Charles University 4 Department of Surgery and Biomedical Center, Faculty of Medicine in Pilsen, Charles University 5 Sikl's Institute of Pathology, Faculty of Medicine and Teaching Hospital in Pilsen, Charles University 6 Bioptická Laboratoř s.r.o.. 7 Department of Cancer Epidemiology, German Cancer Research Center

    Expressing:

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer
    Article Snippet: .. For example, Balazs et al. assessed Ki67 expression using HALO, QuantCenter (3DHistech), and QuPath, demonstrating excellent reproducibility both within and across digital image analysis platforms [ ]. ..

    Article Title: Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software.
    Article Snippet: License jove.com April 2024 • 206 • e66743 • Page 1 of 20 Mast Cells in the Microenvironment of Hepatocellular Carcinoma Confer Favorable Prognosis: A Retrospective Study using QuPath Image Analysis Software Esraa Ali1, Lenka Červenková2,3, Richard Pálek2,4, Filip Ambrozkiewicz1, Sergii Pavlov1, Wenjing Ye1, Petr Hošek2, Ondrej Daum5,6, Václav Liška2,4, Kari Hemminki1,7, Andriy Trailin1 1 Laboratory of Translational Cancer Genomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University 2 Laboratory of Cancer Treatment and Tissue Regeneration, Biomedical Center, Faculty of Medicine in Pilsen, Charles University 3 Department of Pathology, Third Faculty of Medicine, Charles University 4 Department of Surgery and Biomedical Center, Faculty of Medicine in Pilsen, Charles University 5 Sikl's Institute of Pathology, Faculty of Medicine and Teaching Hospital in Pilsen, Charles University 6 Bioptická Laboratoř s.r.o.. 7 Department of Cancer Epidemiology, German Cancer Research Center

    Data-independent acquisition:

    Article Title: Digital Whole Slide Image Analysis of Elevated Stromal Content and Extracellular Matrix Protein Expression Predicts Adverse Prognosis in Triple-Negative Breast Cancer
    Article Snippet: .. Our results, obtained through DIA, demonstrate that QuantCenter, a commercial module integrated with 3DHISTECH’s SlideViewer software, is a valuable tool for objectively analyzing digitized slides. ..



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    Image Search Results


    Journal: bioRxiv

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    doi: 10.1101/2025.05.16.654590

    Figure Lengend Snippet:

    Article Snippet: For example, Balazs et al. assessed Ki67 expression using HALO, QuantCenter (3DHistech), and QuPath, demonstrating excellent reproducibility both within and across digital image analysis platforms [ ].

    Techniques: Comparison

    Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and CytoMap.

    Journal: bioRxiv

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    doi: 10.1101/2025.05.16.654590

    Figure Lengend Snippet: Prostate cancer TMAs were stained with antibody panel 1 (CD3, CD8, PD-1, PD-L1, FoxP3, pCK), or with antibody panel 2 (CD20, CD103, Delta-TCR, TIM3, CD164, pCK). Scanned mIF images were analyzed using either QuPath or HALO image analysis software packages. The processing of images encompasses multiple steps, including tissue segmentation, cell detection, and quantification of immune cell populations. Quantitative measures of tumor regions and immune cell percentages can be obtained through analysis with HALO or QuPath, but unsupervised neighborhood analysis is only possible using a combination of QuPath and CytoMap.

    Article Snippet: For example, Balazs et al. assessed Ki67 expression using HALO, QuantCenter (3DHistech), and QuPath, demonstrating excellent reproducibility both within and across digital image analysis platforms [ ].

    Techniques: Staining, Software

    A . Panel 1, composed of antibodies reactive with PD1, CD8, CD3, PDL1, FoxP3, and pCK. B . Pearson correlation analysis between QuPath and HALO using the same signal intensity thresholds in HALO and QuPath to distinguish positive and negative pixels for analysis. C . Panel 2, encompassing markers TIM3, CD20, CD103, CD164, Delta-TCR, and pCK. D . Pearson correlation analysis between QuPath and HALO using the same signal intensity thresholds in HALO and QuPath to distinguish positive and negative pixels for analysis.

    Journal: bioRxiv

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    doi: 10.1101/2025.05.16.654590

    Figure Lengend Snippet: A . Panel 1, composed of antibodies reactive with PD1, CD8, CD3, PDL1, FoxP3, and pCK. B . Pearson correlation analysis between QuPath and HALO using the same signal intensity thresholds in HALO and QuPath to distinguish positive and negative pixels for analysis. C . Panel 2, encompassing markers TIM3, CD20, CD103, CD164, Delta-TCR, and pCK. D . Pearson correlation analysis between QuPath and HALO using the same signal intensity thresholds in HALO and QuPath to distinguish positive and negative pixels for analysis.

    Article Snippet: For example, Balazs et al. assessed Ki67 expression using HALO, QuantCenter (3DHistech), and QuPath, demonstrating excellent reproducibility both within and across digital image analysis platforms [ ].

    Techniques:

    Comparison of infiltration analysis by HALO and QuPath. A. Tumor expansion of 20µm in HALO and QuPath. B. Linear fitting of scattering plot between HALO and QuPath output

    Journal: bioRxiv

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    doi: 10.1101/2025.05.16.654590

    Figure Lengend Snippet: Comparison of infiltration analysis by HALO and QuPath. A. Tumor expansion of 20µm in HALO and QuPath. B. Linear fitting of scattering plot between HALO and QuPath output

    Article Snippet: For example, Balazs et al. assessed Ki67 expression using HALO, QuantCenter (3DHistech), and QuPath, demonstrating excellent reproducibility both within and across digital image analysis platforms [ ].

    Techniques: Comparison

    Comparison of nearest neighbor analysis by HALO and QuPath. A. Illustration of nearest neighbor analysis in HALO. B. Linear fitting of scatter plot between HALO and QuPath outputs.

    Journal: bioRxiv

    Article Title: Comparison of QuPath and HALO platforms for analysis of the tumor microenvironment in prostate cancer

    doi: 10.1101/2025.05.16.654590

    Figure Lengend Snippet: Comparison of nearest neighbor analysis by HALO and QuPath. A. Illustration of nearest neighbor analysis in HALO. B. Linear fitting of scatter plot between HALO and QuPath outputs.

    Article Snippet: For example, Balazs et al. assessed Ki67 expression using HALO, QuantCenter (3DHistech), and QuPath, demonstrating excellent reproducibility both within and across digital image analysis platforms [ ].

    Techniques: Comparison