version 12.5 Search Results


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Windows, Version 12.5, supplied by MedCalc Software Ltd, 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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windows, version 12.5 - by Bioz Stars, 2026-08
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statistical software version 12.5.0.0  (MedCalc Software Ltd)
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Statistical Software Version 12.5.0.0, supplied by MedCalc Software Ltd, 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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Version 12.5, supplied by MedCalc Software Ltd, 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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histoquest (for ihc, versions 3.5.3.0188, 4.0.4.0159 and 6.0.1.125)  (TissueGnostics)
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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
Histoquest (For Ihc, Versions 3.5.3.0188, 4.0.4.0159 And 6.0.1.125), supplied by TissueGnostics, 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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Average 90 stars, based on 1 article reviews
histoquest (for ihc, versions 3.5.3.0188, 4.0.4.0159 and 6.0.1.125) - by Bioz Stars, 2026-08
90/100 stars
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for windows version 12.5 64 bit  (MedCalc Software Ltd)
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MedCalc Software Ltd for windows version 12.5 64 bit
Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
For Windows Version 12.5 64 Bit, supplied by MedCalc Software 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/version+12%2E5/pm28755807-65-12-14?v=MedCalc+Software+Ltd
Average 90 stars, based on 1 article reviews
for windows version 12.5 64 bit - by Bioz Stars, 2026-08
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spearman rank correlation tests medcalc® version 12.5  (MedCalc Software Ltd)
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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
Spearman Rank Correlation Tests Medcalc® Version 12.5, supplied by MedCalc Software Ltd, 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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Average 90 stars, based on 1 article reviews
spearman rank correlation tests medcalc® version 12.5 - by Bioz Stars, 2026-08
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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
Primers Designed Using Macvector Version 12.5.1, supplied by MacVector 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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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
Qsrnvivo Version 12.5.0, supplied by qsr international, 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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qsrnvivo version 12.5.0 - by Bioz Stars, 2026-08
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64-bit windows version 12.5.0.0  (MedCalc Software Ltd)
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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
64 Bit Windows Version 12.5.0.0, supplied by MedCalc Software Ltd, 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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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
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Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by <t>HistoQuest</t> software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.
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Image Search Results


Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by HistoQuest software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.

Journal: Cancers

Article Title: The Immune Phenotype of Isolated Lymphoid Structures in Non-Tumorous Colon Mucosa Encrypts the Information on Pathobiology of Metastatic Colorectal Cancer

doi: 10.3390/cancers12113117

Figure Lengend Snippet: Lymphoid structures at three tissue entities of patients with metastatic colorectal cancer visualized by the digital image cytometry approach. ( A ) Representative images of ILS and ELS within tissue sections stained for the B-cell marker CD20 ( brown color ) and counterstained for nuclei with hematoxylin ( blue color ) are shown for three tissue entities (a, NT (ILS); b, CRC (ELS); c, CRCLM (ELS)). Scale bar: 500 µm. The whole-slide digital images were acquired using the automated microscopy-based TissueFAXS platform (TissueGnostics, Vienna, Austria). ( B ) The quantitative analysis of immune cell populations stained for a specific marker is based on a single cell recognition algorithm (nuclear segmentation) by HistoQuest software (TissueGnostics, Vienna, Austria). Shown are (a) the original image of ELS within CRC upon IHC staining for CD20 (brown color, CD20 staining; blue color, nuclear counterstaining with hematoxylin), (b) software-based recognition of CD20-positive cells (marked in red ) and CD20-negative cells (marked in green ) within the region of interest covering the entire ELS (indicated by a red circle) and (c) the corresponding scatter plot of the HistoQuest-based tissue image cytometry analysis showing the individual cells, represented by dots, detected within the ELS. The cut-off line separates the CD20-positive B cells (upper quadrant, 66.6%) from the CD20-negative cells (lower quadrant, 33.4%). Scale bar: 100 µm. NT, non-tumorous tissue; CRC, colorectal cancer; CRCLM, colorectal cancer liver metastasis; ILS, isolated lymphoid structure; ELS, ectopic lymphoid structure; IHC, immunohistochemical.

Article Snippet: The analysis algorithm is based on a single cell recognition strategy and the quantification of the immune marker-positive cells using HistoQuest (for IHC, versions 3.5.3.0188, 4.0.4.0159 and 6.0.1.125) and TissueQuest (for IF, version 4.0.1.0128) software packages (TissueGnostics, Vienna, Austria).

Techniques: Cytometry, Staining, Marker, Microscopy, Software, Immunohistochemistry, Isolation, Immunohistochemical staining