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Halo 2

Manufactured by Indica Labs
Sourced in United States

The Halo 2.2 is a digital pathology slide scanner designed for routine clinical use. It captures high-resolution, whole-slide digital images from glass microscope slides.

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7 protocols using halo 2

1

Quantification of Tumor Vasculature and Endothelial Cells

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Immunofluorescence assays for epithelial cell adhesion molecule (Ep-CAM), TIE2 and CD31 (an endothelial maker) were performed with tissue microarrays. Briefly, after being deparaffinized and dehydrated, the slides were immersed in EDTA antigen retrieval buffer (pH 8.0), and heat-induced antigen retrieval was performed. To block endogenous peroxidases and antigens, 3% H2O2 and 3% bovine serum albumin (BSA) were used, respectively. The slides were then sequentially incubated with anti-Ep-CAM, anti-TIE2 and anti-CD31 antibodies (Table S1). A TSA kit (Wuhan Servicebio Technology Co., Ltd., China) was used for signal detection, and the nuclei were counterstained with DAPI. The slides were scanned by a slice scanner (Pannoramic MIDI: 3Dhistech, Hungary), and the images were analysed via HALO 2.0 Area Quantification algorithm (Indica Labs; Corrales, NM) at Nanjing Freethinking Biotechnology Co., Ltd. (China). The Ep-CAM+TIE2+ and CD31+ cells, representing TIE2-expressing cervical cancer cells and vascular endothelial cells, respectively, were automatically identified and counted with HALO 2.0 software (Indica Labs; Corrales, NM), and the ratios of Ep-CAM+TIE2+ cells (Ep-CAM+TIE2+%) and CD31+ cells (CD31+%) to total cells (DAPI) were calculated.
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2

Quantitative Analysis of FOXM1 Expression

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FOXM1-stained slides were scanned on a Aperio AT2 whole slide scanner (Leica Biosystems) at 20× magnification. The images were analyzed using HALO 2.0 software (Indica Labs). The regions of interest (ROI) containing hematopoietic cells were manually selected, and any tissue or staining artifacts were excluded from analysis by manual drawing. Hematoxylin counterstain was used to segment nuclei within the ROIs and to establish an accurate cell count. Threshold values were set for each slide to determine nuclei positive for the FOXM1 marker. FOXM1 staining intensity in the cytoplasm of each cell was measured within a radius of approximately 1 μm grown around each nucleus. The nuclear and cytoplasmic FOXM1 intensity, as well as their ratio, was calculated per each cell and averaged per each slide.
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3

Quantitative Tissue Analysis of AAV9 Targets

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The images were analyzed using custom analysis settings in the HALOTM image analysis platform (Halo 2.2, indica Labs). Each region of interest (ROI) was hand drawn on each sagittal organ section, for the analysis of the brain, the heart, the liver, the spleen, the lung, and the kidney. The threshold for each stain was set using positive and negative control images, and the same analysis setting were applied for every image of the same stain. The percent area staining was recorded for each tissue per ROI. The ROIs include the cortex, subcortex (hippocampus + hypothalamus + striatum + thalamus), brainstem, and cerebellum. Analysis was performed with the observer blinded to the treatment group of each sample, and GraphPad 10 software was used to determine the descriptive statistical values. Ordinary one-way analysis of variance (One-way ANOVA) was performed using Graphpad Prism, to compare the tested clones per tissue count with respect to AAV9 with Tukey’s multiple comparisons.
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4

Quantitative Histological Analysis of Brain and Spinal Cord

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Histology images were analyzed using custom analysis settings in the HALO image analysis platform (HALO2.2, Indica Labs, Albuquerque, NM, USA). A region of interest (ROI) was hand drawn on each image to allow for analysis by tissue region. Within the brain, four major regions were drawn: (1) thalamus, hypothalamus, and midbrain (THM); (2) pons and medulla (PM); (3) striatum; (4) cerebellum. For spinal cord samples, we analyzed lumbar cord (injection site) and cervical cord (farthest from injection site). A threshold for each stain was set using positive and negative control images, and the same analysis settings were applied for every image of the same stain. The percent area strongly staining for each marker of interest was recorded for each tissue/ ROI.
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5

Visualization of FMR1 Transcript Localization

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The ACD RNAscope 2.5 HD Assay Kit 322360 was used. Five μm section slides were deparaffinized by xylene followed by 100% ethanol, then incubated with hydrogen peroxide for 10 minutes at room temperature and washed with distilled water. Antigen retrieval was performed by boiling slides in 1× Target Retrieval solution (ACD 322000) for 10 minutes, washing with distilled water, and then dehydrating with ethanol and air-drying. Protease Plus was added to each section, incubated at 40°C for 30 minutes, and washed with distilled water. The slides were incubated with a custom-made hFMR1-Codon-C1RNAscope probe in a HybEZ oven for 2 hours at 40°C and washed with 1× wash buffer, followed by incubating with AMP 1–6 for 30 or 15 minutes and the use of the RNAscope 2.5 HD Detection Kit protocol. The G-quartet motif in the RGG domain of the endogenous FMR1 sequence was not codon-optimized to ensure retention of FMRP binding to FMR1 mRNA. The slides were then incubated with kit-provided RED solution for 10 minutes, counterstained with Mayer’s hematoxylin, and imaged with an Aperio ImageScope; histology images were analyzed using custom analysis settings in the HALO image analysis platform (HALO2.2, Indica Labs).
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6

Immune Cell Quantification in FFPE Tissues

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Hematoxylin and eosin staining and immunohistochemistry (IHC) were performed on 4 μm FFPE pre and post-treatment tissue samples. IHC analysis on subsequent sections was performed using antibodies against CD3 (Agilent Dako, cat#A0452, 1:100), CD20 (Agilent Dako, cat#M075501-2, 1:1400), CD8 (Thermo Scientific, cat# MS-457-S, 1:25), Granzyme B (Leica Microsystems, cat# PA0291, RTU) and PD-1 (Abcam, cat# ab137132, 1:250). Sections were processed with peroxidase-conjugated avidin/biotin and 3’-3-diaminobenzidine substrates (Leica Biosystems, cat# DS9800), and the IHC slides were scanned and digitalized using the Scanscope XT system (Aperio/Leica Technologies). Single stain IHC quantification analysis was performed by the pathologist using the HALO 2.3.2089.70 software (Indica Labs). The number of marker positive cells for each analysis area were calculated and expressed as density (number of positive cells/mm2) and densities were plotted using Prism V8.4.3 (GraphPad). TLS quantification was done as previously described and the total number of TLS per mm2 of tumor area was plotted18 (link). Statistical analysis was done using a two-tailed, unpaired Mann–Whitney test, and p values <0.05 were considered statistically significant. P values were adjusted for multiple comparisons using the Benjamini–Hochberg procedure.
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7

Quantifying Tumor Immune Infiltrates by IHC

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Hematoxylin and eosin (H&E) staining, and IHC were performed on 4 μm formalin-fixed paraffin-embedded (FFPE) pre- and post-treatment tissue samples. Stromal TILs were quantified manually by H&E-stained FFPE sections and scored as a percentage of stromal area according to the International Immuno-Oncology Working Group method for assessing TILs [23 (link)]. IHC staining on subsequent sections was performed using anti-CD4 (Abcam, cat#ab133616, 1:250), anti-Gr-B (11F1) (Leica Microsystems, cat#PA0291, ready-to-use), and anti-CD57 (BD Biosciences, cat# 347390, 1:40) antibodies. Sections were stained using the BondRX instrument and the Bond Polymer Refine Detection kit (Cat. #DS9800), and the IHC slides were scanned and digitized using the ScanscopeXT system (Aperio/Leica Technologies). Single stain IHC quantification analysis was performed by the pathologist using the HALO 2.3.2089.70 software (Indica Labs). The number of marker positive cells for each analysis area were calculated and expressed as density (number of positive cells/mm2) and densities were plotted using Prism V8.4.3 (GraphPad). Statistical analysis was done using a two-tailed, paired t-test, and P < 0.05 was considered statistically significant.
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