Aperio image toolbox

Manufactured by Leica

The Aperio Image Toolbox is a digital pathology software solution developed by Leica. It provides a suite of tools for the analysis and management of digital pathology images.

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Lab products found in correlation

Imagescope software, by Leica (3 mentions) Aperio scanscope turbo slide scanner, by Leica (2 mentions) Bond max, by Leica (2 mentions) Bond polymer refine detection kit, by Leica (2 mentions) Aperio at2 scanner, by Leica (1 mentions)

Close spelling variants of this product

Aperio Brightfield Image Analysis Toolbox software (2 citations)

3 protocols using aperio image toolbox

Quantifying Immunohistochemical Markers in Tissue

Cited 3 times

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The stained slides were digitally scanned using the Aperio ScanScope Turbo slide scanner (Leica Microsystems Inc.) under ×200 magnification. The images were visualized by ImageScope software (Leica Microsystems, Inc.) and analyzed using the Aperio Image Toolbox (Leica Microsystems Inc.). Different intensity levels of ASCL1, NEUROD1, or POU2F3 nuclear expression were quantified using a 4-value intensity score (0, none; 1, weak; 2, moderate; and 3, strong) and the percentage (0–100%) of the extent of reactivity. A final expression score (H-score) was obtained by multiplying the intensity and reactivity extension values (range, 0–300) as previously described^{93 (link)}. For example, for SCLC-04, (3+)% nuclei is 1.22, (2+)% nuclei is 9.97, (1+)% nuclei is 47.81, the resulting H-score is 3*1.22 + 2*9.97 + 1*47.81 = 71.41.
The lymphocyte cells expressing CD4⁺ and CD8⁺ were counted by a pathologist using Aperio Image Toolbox analysis software (Aperio, Leica Biosystems) and expressed as cell density (CD4⁺ and CD8⁺ cells/mm² of analyzed tissue)^{92 (link),94 (link)}.

Cai L., Liu H., Huang F., Fujimoto J., Girard L., Chen J., Li Y., Zhang Y.A., Deb D., Stastny V., Pozo K., Kuo C.S., Jia G., Yang C., Zou W., Alomar A., Huffman K., Papari-Zareei M., Yang L., Drapkin B., Akbay E.A., Shames D.S., Wistuba I.I., Wang T., Johnson J.E., Xiao G., DeBerardinis R.J., Minna J.D., Xie Y, & Gazdar A.F. (2021). Cell-autonomous immune gene expression is repressed in pulmonary neuroendocrine cells and small cell lung cancer. Communications Biology, 4, 314.

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Quantification of CD3+ T-cells in Tumor Samples

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Four-micrometer-thick serial sections were obtained from representative formalin-fixed, paraffin-embedded (FFPE) blocks for IHC, as well as hematoxylin and eosin (H&E) staining. H&E slides were examined by a pathologist to confirm the presence of tumor. IHC was performed using a Leica Bond Max automated staining system (Leica Microsystems) with antibodies against CD3 (dilution 1:100; Dako). The expression of the marker was detected using a Leica Bond Polymer Refine Detection kit (Leica Microsystems) with diaminobenzidine reaction to detect antibody labeling. Counterstaining was done using hematoxylin. Human tonsil FFPE tissues with and without CD3 primary antibody were used as positive and negative controls, respectively. For quantification of CD3 expression, the slides were digitally scanned at 200 magnification using the Aperio AT2 scanner (Leica Microsystems). The images were visualized using the ImageScope software (Leica Microsystems) and analyzed using the Aperio Image Toolbox (Leica Microsystems). Five regions of interests were randomly selected within the tumor area of each slide. The number of CD3 positive cells per mm² (cell density) was evaluated, and the final score was expressed as the average density of the five areas.

Sakellariou-Thompson D., Forget M.A., Creasy C., Bernard V., Zhao L., Kim Y.U., Hurd M.W., Uraoka N., Parra E.R., Kang Y., Bristow C.A., Rodriguez-Canales J., Fleming J.B., Varadhachary G., Javle M., Overman M.J., Alvarez H.A., Heffernan T.P., Zhang J., Hwu P., Maitra A., Haymaker C, & Bernatchez C. (2017). 4-1BB agonist focuses CD8+ tumor-infiltrating T-cell growth into a distinct repertoire capable of tumor recognition in pancreatic cancer. Clinical cancer research : an official journal of the American Association for Cancer Research, 23(23), 7263-7275.

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Quantifying PD-L1 Expression in Tumor Samples

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4μ-thick tissue sections were cut from formalin-fixed, paraffin-embedded blocks containing representative tumor and processed for immunohistochemistry (IHC), using an automated staining system (Leica Bond Max, Leica microsystems, Vista, CA, USA). For assessment of PD-L1 expression, the PD-L1 (E1L3N^®)XP^® rabbit monoclonal antibody (Cell Signaling Technology) was applied at 1:100 dilution followed by detection using the Leica Bond Polymer Refine detection kit (Leica Microsystems), DAB staining and hematoxylin counterstaining. For quantification, stained slides were digitally scanned using the Aperio^® ScanScope Turbo slide scanner (Leica Microsystems). Captured images (200x magnification) were visualized using ImageScope^™ software (Leica Microsystems,) and analyzed using Aperio Image Toolbox (Aperio, Leica Microsystems). For PD-L1 analysis in tumor and non-tumor cells, 5 randomly selected square regions (1 mm²) in the core of each tumor were evaluated. Analysis of PD-L1 expression specifically in tumor cells was based on assessment of the whole section. The cell membrane staining algorithm was used to obtain the PD-L1 H-score (0–300) which is computed on the basis of both extent and intensity of PD-L1 staining.

Mak M.P., Tong P., Diao L., Cardnell R.J., Gibbons D.L., William W.N., Skoulidis F., Parra E.R., Rodriguez-Canales J., Wistuba I.I., Heymach J.V., Weinstein J.N., Coombes K.R., Wang J, & Byers L.A. (2015). A patient-derived, pan-cancer EMT signature identifies global molecular alterations and immune target enrichment following epithelial to mesenchymal transition. Clinical cancer research : an official journal of the American Association for Cancer Research, 22(3), 609-620.

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