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quantcenter 2.1 software (3DHistech ltd)

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3DHistech ltd quantcenter 2.1 software
Quantcenter 2.1 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/caseviewer+software/pm39880291-155-0-0
Average 90 stars, based on 1 article reviews

quantcenter 2.1 software - by Bioz Stars, 2026-10

90/100 stars

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Article Title: A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology.
Article Snippet: To evaluate our algorithm performance, we registered all PHH3-based annotations (created on 100 slides and digitized with the 3D Histech P1000 II) to the corresponding H&E WSIs from each scanner and assessed the structural similarity index metric (SSIM) between the H&E regions.

Article Title: Direct effects of the small molecule PD-L1 inhibitor BMS-202 on A375 melanoma cells: Anti-tumor activity accompanied by increased mitochondrial function
Article Snippet: Image acquisition was performed using a light microscope(PANNORAMIC SCAN; 3DHISTECH).

Article Title: High-dose dexamethasone regulates microglial polarization via the GR/JAK1/STAT3 signaling pathway after traumatic brain injury
Article Snippet: All counts were conducted using CaseViewer2.4 (3D Histech, Budapest, Hungary).

Article Title: Modulation of the effects of a cholesterol-supplemented high-fat diet by aryl hydrocarbon receptor (AHR) activation and/or tryptophan reduction in male mice.
Article Snippet: The liver slides were scanned into whole slide images (WSIs) using a Pannoramic 1000 Flash digital slide scanner (3DHISTECH, Budapest, Hungary) and the adipose tissue slides using a Pannoramic 250 Flash III scanner, both employing a × 20 objective resulting in a resolution of 0.24 μm/pixel.

Article Title: A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology.
Article Snippet: For SSIM assessment, we created patches centered on the registered coordinates, rescaled them to the fit the patch dimensions of the scanner with the lowest resolution (3D Histech P150), and cropped the first and last rows and columns, accounting for uneven tile dimensions after resizing due to slight differences in resolution along the x- and y-axis in the 3D Histech P1000.

Article Title: Overexpression of JAML in colorectal cancer cells predicts higher radiosensitivity by inactivating ATR pathway
Article Snippet: Cell crawls were scanned using the digital pathology slide 3DHISTECH, and positive cells were recorded when there were more than 3 foci in the nucleus, and the percentage of positive cells in the total number of cells at 600x field of view was calculated.

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Article Title: 3D-printed advanced scaffold armed with exosomes derived from human skeletal stem cell identified by single-cell RNA sequencing enhances osteochondral regeneration
Article Snippet: .. All sections were scanned using the PhenoImager HT (Akoya Biosciences, USA) and analyzed using CaseViewer software (3DHISTECH Ltd., Hungary). ..

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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

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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.

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.

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

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.

Techniques: Comparison

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