Aperio imagescope

Manufactured by Leica

Sourced in Germany, United States, Japan, United Kingdom, Canada, Switzerland

Aperio ImageScope is a digital slide viewing and analysis software. It enables users to view, annotate, and manage digital slide images captured by Leica's digital pathology scanners.

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Lab products found in correlation

Aperio scanscope, by Leica (9 mentions) Aperio cs2, by Leica (8 mentions) Aperio scanscope xt, by Leica (7 mentions) Aperio at2 slide scanner, by Leica (6 mentions) Nanozoomer 2.0 ht, by Hamamatsu Photonics (5 mentions) Aperio scanscope cs, by Leica (5 mentions) Aperio at2 scanner, by Leica (5 mentions) Nanozoomer, by Hamamatsu Photonics (4 mentions) Aperio cs2 scanner, by Leica (4 mentions) Aperio digital scanning, by Leica (4 mentions) Aperio at2, by Leica (4 mentions) Scn400 slide scanner, by Leica (4 mentions) Paraformaldehyde (pfa), by Merck Group (3 mentions) Aperio eslide manager, by Leica (3 mentions) Hematoxylin, by Merck Group (3 mentions) Aperio xt slide scanner, by Leica (3 mentions) Formalin, by Thermo Fisher Scientific (3 mentions) Aperio digital pathology slide scanner, by Leica (3 mentions) Aperio scanscope cs slide scanner, by Leica (3 mentions) Aperio scanscope at turbo, by Leica (3 mentions)

Spelling variants of this product

ImageScope (190 citations) Aperio ImageScope v12.4.3 (23 citations) Aperio ImageScope 12.4 software (12 citations) Aperio ImageScope software v12.3.2.8013 (11 citations) Aperio ImageScope version 11.2.0.780 (8 citations) Aperio ImageScope system (6 citations) ImageScope Aperio Analysis software (5 citations) Aperio ImageScope application (4 citations) Aperio ImageScope x64 (2 citations) Aperio ImageScope 11.2.0.780 (2 citations)

314 protocols using aperio imagescope

Automated IHC Quantification of Whole Tissue and TMA Slides

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Digital images of both IHC-stained whole tissue sections and IHC-stained TMA slides were captured using a whole slide scanner at 10× magnification (Aperio Scanscope, Leica Microsystems, Milton Keynes, UK), and the digital images were stored in SVS format. The digital images were retrieved using a file management web interface (Aperio eSlide Manager, version 12.4.3.8007, Leica Biosystems, IL, USA) and reviewed with the server software (Aperio Imagescope, version 12.3.3.5048, Leica Biosystems, IL, USA). Digital images of representative whole tissue section fields and TMA cores were extracted through the server software (Aperio Imagescope, version 12.3.3.5048, Leica Biosystems, IL, USA) at 10× magnification and quantified into H-scores using an automated IHC profiler built in a digital image analysis software (ImageJ version 1.52a, National Institute of Health, Bethesda, MD, USA) [50 (link)].

Omole E.B., Aijaz I., Ellegate J J.r., Isenhart E., Desouki M.M., Mastri M., Humphrey K., Dougherty E.M., Rosario S.R., Nastiuk K.L., Ohm J.E, & Eng K.H. (2022). Combined BRCA2 and MAGEC3 Expression Predict Outcome in Advanced Ovarian Cancers. Cancers, 14(19), 4724.

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Immunohistochemical Analysis of Tumor Markers

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Tumors were fixed in 10% formalin, paraffin-embedded, and sectioned. Tissues were probed with primary antibodies, anti- GLI1, anti-NICD, anti–Ki-67, anti-oct4, and anti-SOX2 antibodies, followed by HRP conjugated secondary antibody and developed using DAB peroxidase substrate kit (SK-4100, Vector Laboratories, CA). Images were captured with a Leica microscope at 20× magnification. Images were analyzed by Aperio ImageScope Software, Leica. Quantification of micrographs and IHC was done using Leica Aperio ImageScope, Leica Biosystems.

Siddharth S., Parida S., Muniraj N., Hercules S., Lim D., Nagalingam A., Wang C., Gyorffy B., Daniel J.M, & Sharma D. (2021). Concomitant activation of GLI1 and Notch1 contributes to racial disparity of human triple negative breast cancer progression. eLife, 10, e70729.

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Histological Analysis of A375 Tumor Microenvironment

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To visualize cellular morphology, A375 tumor sections were stained with hematoxylin and eosin (H&E). Gram staining of A375 tumor specimens was performed using a Gram stain kit (#AR17592-2, Agilent Technologies, Santa Clara, CA, USA) following the standard protocol for paraffin specimens and according to the manufacturer’s instructions. For immunohistochemistry, tumors were excised, fixed in 10% formalin, embedded in paraffin blocks, and processed for histological analysis. Rabbit anti-HIF-1α (D2U3T) (Cat# 14179, Cell Signaling Technology, Danvers, MA, USA) was used at a 1:500 concentration to detect expression of HIF-1α. The slides were then washed with PBS 1×, incubated with the standard ultra-sensitive ABC peroxidase staining kit (Pierce, Rockford, IL, USA), and detected with diaminobenzidine (DAB) tetrahydrochloride solution containing 0.0006% H₂O₂. Hematoxylin was used as a counterstain. Whole tissue slides were scanned with Leica Aperio ImageScope with 40× magnification (Leica Biosystems, Buffalo Grove, IL, USA).

Garza-Morales R., Rendon B.E., Malik M.T., Garza-Cabrales J.E., Aucouturier A., Bermúdez-Humarán L.G., McMasters K.M., McNally L.R, & Gomez-Gutierrez J.G. (2020). Targeting Melanoma Hypoxia with the Food-Grade Lactic Acid Bacterium Lactococcus Lactis. Cancers, 12(2), 438.

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Comprehensive Histomorphometric Analysis of Animal Tissues

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Harvested tissues of sacrificed animals (tumor, liver and kidney) were macroscopically examined, measured and sectioned to 3 mm thick slices through the largest tissue plane. Tissues were processed in automatic tissue processor (Milestone SRL LOGOS ONE, Sorisole, BG–Italy). Embedding in paraffin blocks was done on embedding console (SAKURA Tissue-Tek TEC 5, Sakura Finetek, CA, USA). Sections 4 µm thick were cut from the tissue using microtome (LEICA RM 2245, (Leica Biosystems, Nussloch, Germany), and the slices were mounted on glass slides. The slides were then stained with hematoxilin eosin stain (H/E) in automated slide stainer MYREVA SS-30H (Especialidades Médicas MYR, S.L., Tarragona, Spain). After H/E staining, all glass slides were examined and microscopically analyzed under an Olympus BX43 microscope (OLYMPUS EUROPA HOLDING GMBH, Hamburg, Germany). Additionally, all slides were digitalized with a Leica Aperio AT2 slide scanner (Leica Biosystems, Nussloch GmbH, Germany) for analysis and documentation purposes. Morphometric analysis was done with a Leica Aperio ImageScope (version 12.4.6, Leica Biosystems, Nussloch GmbH, Germany).

Predarska I., Saoud M., Drača D., Morgan I., Komazec T., Eichhorn T., Mihajlović E., Dunđerović D., Mijatović S., Maksimović-Ivanić D., Hey-Hawkins E, & Kaluđerović G.N. (2022). Mesoporous Silica Nanoparticles Enhance the Anticancer Efficacy of Platinum(IV)-Phenolate Conjugates in Breast Cancer Cell Lines. Nanomaterials, 12(21), 3767.

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Quantitative Analysis of AT8 Staining in CTE

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Using digitally scanned slides at 20x magnification, the density of total AT8 staining was quantitatively measured in 7 regions, including the DLF, hippocampus subfields CA1, CA2/CA3 (CA2 and CA3 combined), CA4, subiculum, and the LC on a Leica Aperio ImageScope (Leica Biosystems). Slide scanning methods have been described elsewhere [13 (link)]. The gray matter was highlighted from the pia to the boundary between the white and gray matter. Leica’s image analysis and automated counting software (Aperio positive pixel algorithm, Version 9, Leica Biosystems) was calibrated for positive staining to detect AT8-immunoreactivity within the region of interest. Counts were normalized to the area measured and presented as density of positively stained pixels within the analyzed region (positive pixels/mm²). For the DLF, p-tau density was measured at the gyral crest (defined as the top third of two connecting gyri) and at the depth of the cortical sulcus (defined as the bottom third of two connecting gyri). These regions had the most complete quantitated data at the time of the data freeze (July 2019) and were prioritized for slide scanning due to their involvement in the clinical and neuropathological pathogenesis of CTE and/or other neurodegenerative diseases.

Alosco M.L., Cherry J.D., Huber B.R., Tripodis Y., Baucom Z., Kowall N.W., Saltiel N., Goldstein L.E., Katz D.I., Dwyer B., Daneshvar D.H., Palmisano J.N., Martin B., Cantu R.C., Stern R.A., Alvarez V.E., Mez J., Stein T.D, & McKee A.C. (2020). Characterizing Tau Deposition in Chronic Traumatic Encephalopathy (CTE): Utility of the McKee CTE Staging Scheme. Acta neuropathologica, 140(4), 495-512.

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Quantifying COX-2 Expression Post-Wean

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A subset of cases at 0.5 (n = 17), 1 (n = 10), 2 (n = 9), and 6–12 (n = 3) months post-wean were stained for COX-2 expression (Supplementary Table 1). Quantification for percent positive COX-2 signal was performed using a deconvolution algorithm (Aperio Imagescope, Leica, USA). A signal of 0.2% based on K-means clustering was the cutoff for low/high classification for Ab1 (SP21 clone) and a signal of 31.0% was the cutoff for low/high classification for Ab2 (CX229 clone).

Jindal S., Narasimhan J., Borges V.F, & Schedin P. (2020). Characterization of weaning-induced breast involution in women: implications for young women’s breast cancer. NPJ Breast Cancer, 6, 55.

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Quantifying IL-2+ Cells in Lymph Nodes

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Using Aperio Imagescope (v 12.4.0.5043, Leica), total, follicular (based on CD20 staining) and germinal center (based on Ki67 staining) areas were defined. IL-2 RNA positive cells were counted and categorized as extrafollicular, follicular, or germinal center IL-2 positive cells and their frequency determined by quantitative image analysis. Percentages of IL-2 positive cells that co-expressed CD4 were also determined. In follicles or germinal centers where there were IL-2+ cells, FoxP3+CD4+ cells were counted and the ratio of IL-2+ cells to FoxP3+CD4+ cells was determined. A final ratio was obtained by averaging data from each IL-2 containing follicle or germinal center for each lymph node.

Ollerton M.T., Folkvord J.M., La Mantia A., Parry D.A., Meditz A.L., McCarter M.D., D’Aquila R.T, & Connick E. (2022). Follicular regulatory T cells eliminate HIV-1-infected follicular helper T cells in an IL-2 concentration dependent manner. Frontiers in Immunology, 13, 878273.

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Immunohistochemical Analysis of Tissue Samples

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The excised tissues were fixed in 4% paraformaldehyde (PFA) for 24 to 48 hours, transferred to 70% ethanol, processed, and embedded in paraffin. Sections were cut at 4 μm and mounted on slides for H&E and Periodic acid Schiff (PAS) staining. For IHC, sections were incubated with the primary antibodies for 60 minutes followed by incubation with immPRESS goat anti-rabbit or goat anti-mouse IgG polymer (catalogs MP-7602 and MP-7601, Vector BioLabs) for 30 minutes. The antigen-antibody complexes were detected using the ImmPACT DAB peroxidase (HRP) substrate (Vector BioLabs) and counterstained with CAT hematoxylin counterstain (Biocare) according to the manufacturer’s instructions. The following primary antibodies used for the IHC analysis included MAML2 TAD antibody (1:100, Bethyl IHC-00446), Ki-67 antibody (1:100, Dako, Agilent msxhu, 7240), cleaved caspase-3 antibody (1:400, Cell Signaling Technology, 9664), phospho-RB antibody (1:400, Cell Signaling Technology, 8516), Cdk4 antibody (1:300, Santa Cruz Biotechnology Inc., sc-166373), and P16 antibody (1:50, Santa Cruz Biotechnology Inc., sc-1661). TUNEL assays were performed using ApopTag Peroxidase In Situ Apoptosis Detection Kit (EMD Millipore, S7100) according to the manufacturer’s instructions. The stained tissue sections were scanned and digitized using Aperio Imagescope (Leica).

Chen Z., Ni W., Li J.L., Lin S., Zhou X., Sun Y., Li J.W., Leon M.E., Hurtado M.D., Zolotukhin S., Liu C., Lu J., Griffin J.D., Kaye F.J, & Wu L. (2021). The CRTC1-MAML2 fusion is the major oncogenic driver in mucoepidermoid carcinoma. JCI Insight, 6(7), e139497.

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Quantifying CXCR4 Receptor Expression

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All slides were digitally scanned using a NanoZoomer 2.0 HT scanner (Hamamatsu Photonics K.K., Hamamatsu, Japan). CXCR4 positive cells were quantified in digitized images with Aperio ImageScope (Leica, Heinrich-Wild-Strasse, Switzerland). The number of CXCR4 + cells and the number of total cells was counted in six fields with 200× magnification for each specimen. The IRS of CXCR4 was calculated by a semi-quantitative method initially described by Remmele & Stegner for evaluating estrogen receptor in breast cancer tissue and modified by Dobner for evaluating the chemokine receptors on uveal melanoma [23 (link)]. The IRS equation is:

IRS = staining of tumor cells \times percentage of stained cells

Staining of tumor cells and percentage of stained cells were scored respectively. The unstained cells score 0, mildly stained cells score 1, moderate stained cells score 2, and strongly stained cells score 3. The scores of percentages of stained cells range from 0 to 4, corresponding to 0%, 0–25%, 25–50%, 50–75% and 75–100% cells.
IRS values were scored by an experimenter blinded to animal model types.

Yang H., Tan S., Qiao J., Xu Y., Gui Z., Meng Y., Dong B., Peng G., Ibhagui O.Y., Qian W., Lu J., Li Z., Wang G., Lai J., Yang L., Grossniklaus H.E, & Yang J.J. (2022). Non-invasive detection and complementary diagnosis of liver metastases via chemokine receptor 4 imaging. Cancer Gene Therapy, 29(12), 1827-1839.

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Immune Cell Infiltration in Mammary Gland

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To identify immune cell infiltration, a subset of cases including nulliparous (n = 5), lactation (n = 5), and 0.5 (n = 15), 1 (n = 12), 2 (n = 9), 3 (n = 10), 6–12 (n = 3), >12–24 months post-wean (n = 5) were stained for CD45 and quantified for percent positive signal in subtype-assigned lobules using an optimized deconvolution algorithm (Aperio Imagescope, Leica, USA). Lobular immune cell infiltrate in each case was plotted by reproductive group and by lobular subtype. Further, to quantify the ratio of intraepithelial to intralobular stromal CD45+ cells in nulliparous (n = 5) and 0.5 months post-wean (n = 5) cases, we performed manual counts for intraepithelial and intralobular stromal CD45+ cells for five lobules of each lobular subtype, with observer blinded to study group.

Jindal S., Narasimhan J., Borges V.F, & Schedin P. (2020). Characterization of weaning-induced breast involution in women: implications for young women’s breast cancer. NPJ Breast Cancer, 6, 55.

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