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Vectra 3.0 automated quantitative pathology imaging system

Manufactured by PerkinElmer
Sourced in United States, Japan

The Vectra 3.0 Automated Quantitative Pathology Imaging System is a laboratory equipment product designed for high-content multispectral imaging and analysis of tissue samples. It provides automated whole-slide scanning and high-resolution, multicolor imaging capabilities to support quantitative pathology research and applications.

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32 protocols using vectra 3.0 automated quantitative pathology imaging system

1

Histological Analysis of BDNF Expression

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The excised vertebrae were fixed in 4% paraformaldehyde, decalcified in 20% formic acid, and embedded in paraffin. Sectioned slides of the embedded specimens were serially deparaffinized, rehydrated, and stained with hematoxylin and eosin. The morphology was observed and photographed with a Vectra 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer, Waltham, MA, USA). To detect the local expression of BDNF, the tissue samples were reacted with protein kinase K, blocked with blocking solution (10% normal goat serum, 0.1% bovine serum albumin), and exposed to primary antibodies against BDNF and secondary antibody. The samples were then sealed with the cover glass and observed under a Vectra 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer, Waltham, MA, USA).
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2

Quantitative Analysis of Tumor Biomarkers

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TMA-IHC was performed to measure the expression of HDAC3, CD8a, CXCL10, and CXCR3 in tissue blocks. The core tissue biopsies (2 mm in diameter) taken from individual paraffin-embedded sections were rearrayed in recipient paraffin blocks by using a TMA system (Quick-Ray, UT06, UNITMA; ref. 35 (link)). Sections from arrayed blocks were sliced into 4 μm and stained with a monoclonal rabbit anti-human HDAC3 (Cell Signaling Technology, catalog no. 85057), anti-human CD8 (Abcam, catalog no. ab199016), anti-human CXCR3 (Invitrogen, catalog no. PA5-23104), and anti-human CXCL10 (Abcam, catalog no. ab8098; all antibodies used at the dilution of 1:100) at 4°C overnight, followed by incubation with a biotinylated secondary antibody (Abcam, catalog no. 64256) at room temperature for 30 minutes. HDAC3, CD8a, CXCL10, and CXCR3 scores were calculated with the percentage of fluorescence-positive cells/CK staining cells×100 (0%–100%). The Vectra 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer company) was used to accurately calculate cell counts of different HDAC3, CD8, CXCR3, and CXCL10 staining intensities in specific tissues. The expression of HDAC3 protein was graded by one two-grade scoring system, and we chose 50% as the cut-off point: a score of 0% to 50% was regarded as no or low expression, whereas 50% to 100% was regarded as high expression.
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3

Multiplex Immunofluorescence Analysis of Tumor Biopsies

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Multiplex immunofluorescence (mIF) staining was performed on tumor biopsies collected before (pre-treatment) and 2-5 days after (post-treatment) Olvi-vec therapy. Formalin-fixed and paraffin-embedded (FFPE) blocks were cut into sections of 5 µm thickness. Sections from each biopsy were stained with antibodies (Supplementary Table 1) using the Opal™ 7-Color Kit for Multiplex Immunohistochemistry (Akoya Biosciences, Marlborough, MA). After mIF staining, slides were scanned using the Vectra® 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer Inc., Hopkinton, MA). Quantitative assessment of cell markers was performed using inForm® software (version 2.2.1, PerkinElmer Inc., Hopkinton, MA). Cell segmentation and phenotyping algorithms were reviewed and confirmed by study pathologists.
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4

Multiplex IHC Analysis of Glioma Tissue

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The tissue microarray (SMC-TMA) consisted of 120 tissue samples that were formalin fixed, paraffin embedded (FFPE), and sectioned (2-mm thickness): 6 normal samples, 35 low-grade gliomas, 1 IDH-mutant GBM, 3 IDH-status unknown GBMs, and 75 IDH-wild-type GBMs, including 14 SMC2 tumors. The FFPE tissues on slides were deparaffinized and rehydrated for multiplex immunohistochemistry staining. Epitope retrieval was performed using BOND Epitope Retrieval Solution 2 kits (Leica Biosystems, AR9640). Immunofluorescent signals were visualized using the OPAL 7-Color automation IHC kit (Akoya, NEL82100KT), TSA dyes 570 (PHGDH; Atlas Antibodies, RRID: AB_1855299, 1/1000), 690 (Nestin; Atlas Antibodies, RRID: AB_1854381, 1/700), and spectral DAPI. The stained slides were coverslipped using HIGHDEF® IHC fluoromount (Enzo, ADI-950-260-0025) and scanned using a Vectra® 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer). Color separation, cell segmentation, and cell phenotyping were performed on inForm Advanced Image Analysis software (version 2.2, PerkinElmer) to extract image data. PHGDH and Nestin-positive cells were determined by thresholds of 0.6 (PHGDH) and 1.25 (Nestin), respectively.
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5

In Vivo Safety of Macrocyclam Derivatives

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The in vivo safety of macrocyclam derivatives was determined by histological and serological analyses. Five‐week‐old Balb/c mice were intravenously administered with at Gd@NrMC or Gd@ErMC at a Gd dose of 3.5 mg/kg. Briefly, NrMC (470 nmol) or ErMC (650 nmol) was mixed with gadolinium chloride in sodium acetate buffer (pH 5.0) and incubated for 2 h at 80°C. Unloaded Gd was removed using a PD‐SpinTrap™ G‐25 column. The samples including 70 μg of Gd were intravenously administered to mice. After 1 week, animals (n = 4 per group) were euthanized, and their organs (heart, lung, liver, spleen, and kidney) and sera were collected for histopathological and biochemical evaluation. Extracted organs were fixed in 10% formalin solution for 24 h and embedded in paraffin. For hematoxylin and eosin staining, each organ section was immersed in filtered Harris hematoxylin for 10 s and then in eosin for 30 s. The stained slides were visualized using a Vectra 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer, Hopkinton, MA, USA), and the images were analyzed using InForm v2.4.11. software (PerkinElmer). The serum concentrations of alanine aminotransferase (ALT), aspartate aminotransferase (AST), aspartate aminotransferase (ALP), blood urea nitrogen (BUN), and total bilirubin (TBIL) were measured using an automatic chemistry analyzer (DRI‐CEHM 3500s; Fujifilm, Kanagawa, Japan).
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6

Multiplex Immunohistochemistry of Tissue Sections

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Tissue sections were deparaffinized in xylene for 10 min, washed with 100% ethanol followed by 95, 80, 70, and 50% ethanol, and then rinsed in distilled water. Samples were processed for antigen retrieval, blocking and staining following the Opal Multiplex IHC protocol (PerkinElmer) as described elsewhere76 (link). Anti-CD19 (clone BT51E, NCL-L-CD19-163, Leica Biosystems), anti-CD31 (clone C31.3 + JC/70 A, ab199012, Abcam), anti-cytokeratin (clone PCK-26, ab6401, Abcam), and anti-CD138 (clone MI15, PA0088, Leica Biosystems) were used as primary antibodies. Opal 7-Color IHC Kit (PerkinElmer) was used as conjugated antibodies as described by the manufacturer’s instructions. Antibody dilutions are listed in Supplementary Table 6. Finally, after DAPI staining, slides were mounted with VECTASHIELD antifade mounting media (Vector Laboratories). Images were taken using Vectra 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer) and InForm cell analysis software version 2.4.6 (PerkinElmer). Images were evaluated and validated by an experienced pathologist.
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7

Liposome-mediated Anti-fibrotic Effects in BDL Mice

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The antifibrotic effects of liposomes were tested in vivo using a hematological parameter assay and histological staining. BDL surgery was performed on 8-week-old female BALB/C mice (Raon Bio). On days 1 and 3 after BDL surgery, mice were intravenously administered liposomes at a phospholipid dose of 2.7 mg/mL. Four days after BDL surgery, blood samples were collected and assayed for ALT, AST, bile acid, and total bilirubin levels by the Neodin VET Diagnostics Institute (Seoul, Republic of Korea). For histological assessment of liver tissues, the liver was extracted 4 days after BDL surgery, fixed in 10% formalin for 48 h, and paraffin-embedded. The tissues sections were analyzed with H&E staining, and Masson’s trichrome staining. For H&E staining, tissue sections were immersed in filtered Harris hematoxylin for 10 s and then in eosin for 30 s. The percentage of connective tissue areas in fibrotic regions on stained slides was calculated using a Vectra 3.0 Automated Quantitative Pathology Imaging System (PerkinElmer, Hopkinton, MA, USA). Images were analyzed using the InForm v2.4.11. software (Perkin-Elmer).
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8

Transwell Invasion Assay for TNBC Cells

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Twenty-four-well Transwell membrane inserts (diameter: 6.5 mm, pore size: 8 μm; Corning, Tewksbury, MA, USA) were each coated with 10 μL of type I collagen (0.5 mg/mL, BD Biosciences, San Diego, CA, USA) and 20 μL of a 1:20 mixture of Matrigel (BD Biosciences) in PBS. After treatment with the indicated compounds for 24 h, MDA-MB-231 human TNBC cells were harvested, resuspended in serum-free medium, and plated (2 × 105 cells/chamber) in the upper chambers of the Matrigel-coated Transwell inserts. Medium containing 30% FBS was used as a chemoattractant in the lower chambers. After a 24 h incubation, the cells that had migrated to the outer surfaces of the lower chambers were fixed and stained using the Diff-Quik Staining Kit (Sysmex, Kobe, Japan) and imaged using a Vectra 3.0 Automated Quantitative Pathology Imaging System (Perkin Elmer, Waltham, MA, USA). Representative images from three separate experiments are shown, and the numbers of invaded cells were counted in 5 randomly selected microscopic fields (200× magnification) [38 (link)].
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9

Multiplex Immunophenotyping of Tumor Samples

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Tissue slides were imaged at 20× magnification and, at least, three regions of interest containing cancer cells were analyzed per sample (1.34 mm2/region of interest) with the Vectra 3.0 Automated Quantitative Pathology Imaging System (Perkin Elmer). An analysis algorithm was trained for tissue and cell segmentation as well as immunophenotyping of cells. DAPI and keratin were employed for segmenting images into tumour, stroma, and ‘no tissue’ areas. Next, cellular segmentation was performed using a counterstain-based approach with DAPI to segment nuclei and membrane markers (CD8, CD3, CD163) to detect cell contours. The following phenotypes were identified: CD3+CD8FOXP3 T cells (which were mainly comprised of CD4+ T helper cells), CD3+CD8FOXP3+ T cells (corresponding to Tregs) CD3+CD8+ T cells (corresponding to CTLs), and CD163+ myeloid cells to pinpoint tumor-associated macrophages. All images were visually inspected to confirm the correct attribution and quantification of phenotypes. For each case, cell counts were normalized by tissue area (number of cells/mm2) [37 (link)].
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10

Multispectral Imaging and Image Analysis

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Multispectral images were obtained at × 20 magnification between 420 and 720 nm at 20 nm intervals for each fluorescence multiplex stain using the Vectra 3.0 Automated Quantitative Pathology Imaging System (Vectra software version 3, PerkinElmer).
inForm Image Analysis Software (version 2.3, Perki-nElmer) was used for the mIHC stains multispectral image analysis. First, a representative set of training images was selected and spectrally unmixed using spectral libraries generated from the library stains performed for each fluorophore and the autofluorescence stain. Afterwards, a machine learning algorithm was trained using tissue annotations aided by the epithelial markers' signal to segment tumour tissue, as well as individual cells using the DAPI signal. After batch processing, all images were reviewed and regions of disinterest, such as normal mucosa, necrotic tissue, tissue folds, and other artefacts were excluded from analyses.
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