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Tissue studio image analysis software

Manufactured by Definiens
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Sourced in Germany

Tissue Studio is an image analysis software designed for the analysis of histological tissue samples. It provides automated tools for the segmentation, classification, and quantification of various tissue structures and cellular features within digital images.

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Lab products found in correlation

Ab207178, by Abcam (2 mentions) Panoramic 250 flash 2 slide scanner, by 3DHISTECH (2 mentions) Hpa018015, by Abcam (2 mentions) M351501 2, by Agilent Technologies (2 mentions) Pannoramic 250 flash 2, by 3DHISTECH (1 mentions) Autostainer plus, by Agilent Technologies (1 mentions) M3635, by Agilent Technologies (1 mentions)

Close spelling variants of this product

Tissue Studio (86 citations) Tissue Studio software (29 citations) Image analysis software (3 citations)

5 protocols using tissue studio image analysis software

1

Quantifying NK Cells in FL Lymph Nodes

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Three-mm-thick sections of formalin-fixed and paraffin-embedded (FFPE) FL lymph node tissues were stained with an anti-NKP46 antibody (kindly gift by Pr Eric Vivier, Innate Pharma, Marseille, France). Whole slides were digitalized using Pannoramic 250 Flash II digital microscopes (3DHISTECH, Hungary) and read by a pathologist at the IUCT (Toulouse, France). IHC staining was evaluated and percent of NK cells was quantified by automated method using Tissue studio image analysis software (Definiens, Munich, Germany).
Decaup E., Rossi C., Gravelle P., Laurent C., Bordenave J., Tosolini M., Tourette A., Perrial E., Dumontet C., Poupot M., Klein C., Savina A., Fournié J.J, & Bezombes C. (2019). A Tridimensional Model for NK Cell-Mediated ADCC of Follicular Lymphoma. Frontiers in Immunology, 10, 1943.
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2

Xenograft Tumor Tissue Analysis

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After formalin fixation, xenograft tumour samples were paraffin‐embedded and freshly sectioned before staining. Sections were stained for CD31, pimonidazole, HIF‐1α, human Ki‐67 and CD11b (Appendix Table S4), before counterstain with haematoxylin. Stained sections were analysed using Tissue Studio image analysis software (Definiens) in the Advanced Imaging Facility of the CRUK Manchester Institute (UK).
Searle E.J., Telfer B.A., Mukherjee D., Forster D.M., Davies B.R., Williams K.J., Stratford I.J, & Illidge T.M. (2017). Akt inhibition improves long‐term tumour control following radiotherapy by altering the microenvironment. EMBO Molecular Medicine, 9(12), 1646-1659.
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3

Quantifying IFNAR1 and FAP in CRC

Cited 1 time
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A human CRC tissue microarray (Cat# CRM1505) containing 150 cases of formalin-fixed, paraffin-embedded CRC cancer was obtained from US Biomax, Inc (Rockville, MD, USA). IF/IHC was performed as previously described [39 (link)] to detect IFNAR1 and FAP on a single slide using the following conditions: antigen retrieval with Tris/EDTA buffer pH 9.0, and incubation with rabbit polyclonal IFNAR1 antibody (Sigma, HPA018015), rabbit monoclonal FAP antibody (Abcam #ab207178), and mouse monoclonal anti-pan-cytokeratin (Agilent #M351501-2). Quantitative analysis was performed as previously described [39 (link)] using the Panoramic 250 Flash II slide scanner (3DHISTECH Ltd., Budapest, Hungary) to capture high-resolution digital images followed by quantification of biomarker levels using Tissue Studio image analysis software (Definiens, Munich, Germany). Mean biomarker signal intensity per cell was calculated for epithelial and stromal regions. Scatterplot of IFNAR1 and FAP signal intensities within each cell were generated per patient core. Representative cases shown.
Cho C., Mukherjee R., Peck A.R., Sun Y., McBrearty N., Katlinski K.V., Gui J., Govindaraju P.K., Puré E., Rui H, & Fuchs S.Y. (2020). Cancer-associated fibroblasts downregulate type I interferon receptor to stimulate intra-tumoral stromagenesis. Oncogene, 39(38), 6129-6137.
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4

Quantifying IFNAR1 and FAP in CRC

Cited 1 time
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A human CRC tissue microarray (Cat# CRM1505) containing 150 cases of formalin-fixed, paraffin-embedded CRC cancer was obtained from US Biomax, Inc (Rockville, MD, USA). IF/IHC was performed as previously described [39 (link)] to detect IFNAR1 and FAP on a single slide using the following conditions: antigen retrieval with Tris/EDTA buffer pH 9.0, and incubation with rabbit polyclonal IFNAR1 antibody (Sigma, HPA018015), rabbit monoclonal FAP antibody (Abcam #ab207178), and mouse monoclonal anti-pan-cytokeratin (Agilent #M351501-2). Quantitative analysis was performed as previously described [39 (link)] using the Panoramic 250 Flash II slide scanner (3DHISTECH Ltd., Budapest, Hungary) to capture high-resolution digital images followed by quantification of biomarker levels using Tissue Studio image analysis software (Definiens, Munich, Germany). Mean biomarker signal intensity per cell was calculated for epithelial and stromal regions. Scatterplot of IFNAR1 and FAP signal intensities within each cell were generated per patient core. Representative cases shown.
Cho C., Mukherjee R., Peck A.R., Sun Y., McBrearty N., Katlinski K.V., Gui J., Govindaraju P.K., Puré E., Rui H, & Fuchs S.Y. (2020). Cancer-associated fibroblasts downregulate type I interferon receptor to stimulate intra-tumoral stromagenesis. Oncogene, 39(38), 6129-6137.
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5

Quantifying Stromal Cyclin D1 in Breast Cancer

Cited 1 time
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Stromal cyclin D1 was detected in clinical breast cancer specimens by immunofluorescence-immunohistochemistry (IF-IHC) performed on an Autostainer Plus (Dako) as previously described [87 (link)] with the following specifications: antigen retrieval used the DAKO PT-module with citric acid buffer (pH 6.0) and rabbit monoclonal cyclin D1 antibody (Dako, M3635) was diluted 1:200 and coincubated with mouse monoclonal anti-pancytokeratin (clone AE1/AE3, DAKO, 1:100) for 45 minutes.
Quantitative analysis of cyclin D1 was performed as previously described [86 (link)]{Peck, 2016 #603;Peck, 2016 #230} using the ScanScope FL line scanner (Leica Biosystems) to capture high-resolution digital images followed by quantification of cyclin D1 levels in the stroma of tumor specimens using Tissue Studio image analysis software (Definiens). Briefly, user-guided machine learning was performed to generate an analysis solution that identified DAPI-stained cell nuclei within the stroma of each tumor specimen. Mean nuclear cyclin D1 signal intensity was calculated for stromal cells in each tumor core.
Pestell T.G., Jiao X., Kumar M., Peck A.R., Prisco M., Deng S., Li Z., Ertel A., Casimiro M.C., Ju X., Di Rocco A., Di Sante G., Katiyar S., Shupp A., Lisanti M.P., Jain P., Wu K., Rui H., Hooper D.C., Yu Z., Goldman A.R., Speicher D.W., Laury-Kleintop L, & Pestell R.G. (2017). Stromal cyclin D1 promotes heterotypic immune signaling and breast cancer growth. Oncotarget, 8(47), 81754-81775.
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