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Halo imaging analysis software

Manufactured by Indica Labs
Sourced in United States

HALO is an advanced image analysis software developed by Indica Labs. It provides a comprehensive suite of tools for quantitative analysis of digital pathology and microscopy images. HALO enables users to perform tasks such as tissue segmentation, object detection, and data visualization.

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6 protocols using halo imaging analysis software

1

Cell Quantification in Immunohistochemistry

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To calculate the cell count and area in immunohistochemical sections, we used quantification by digital image analysis (HALO imaging analysis software; Indica Labs, Corrales, NM). The Mann–Whitney U test was performed to analyse the difference between the two groups with Microsoft Excel 2013 (Microsoft, Redmond, WA, USA). Spearman's rank correlation coefficient was determined to examine the correlation between the two groups. JMP version 14 (SAS Institute, Tokyo, Japan) was used to plot the individual data. A p value less than 0.05 was considered significant in all tests.
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2

Correlating TP53 Alterations with p53 Protein Expression

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To correlate TP53 alterations with p53 and p53 isoforms’ protein expression, 108 immunohistochemically stained slides for p53 and p53 isoforms from our previous study (same cohort) were used [64 (link)]. Slides were scanned at 40× magnification using an Aperio AT2 scanner (Leica, Wetzlar, Germany), and analysed with HALO v3.3.2541 (Halo imaging analysis software, Indica Labs, Corrales, NM, USA) using the CytoNuclear v2.0.8 analysis mode.
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3

Quantitative IHC Analysis of c-MYC in Oral Lesions

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Immunohistochemistry (IHC) staining was performed on 4 μm thick formalin fixed paraffin embedded sections of oral mucosal lesions on Leica Biosystem’s BondRX autostainer with the following conditions: Epitope Retrieval 1 (Citrate) 20′ for c-MYC sections, Epitope Retrieval 2 (EDTA) 20′ for c-MYC sections, c-MYC (abcam #ab32072, 1:40 incubated 30′), and the Bond Polymer Refine Detection Kit (LeicaBiosystems #DS9800). Rabbit monoclonal isotype control reagent (Cell Signaling Technology, #3900) was used in place of primary antibodies for negative controls. Slides were removed from the Bond autostainer, dehydrated through ethanol, cleared with xylenes, and cover slipped.
H&E and IHC slides were scanned at 20× using an Aperio AT2 scanner (Leica Biosystems, Buffalo Grove, IL) into whole slide digital images. All image analysis was performed using HALO imaging analysis software (v3.3.2541.423; Indica Labs), and image annotations were performed by one pathologist. We used the HALO cytonuclear (V2.0.9) algorithm to quantify the percentage of c-MYC-positive nuclei. The HALO Nuclei Seg classifier was used to segment and measure nuclei. The HALO tissue DenseNet AI was used to choose the epithelial cells and to exclude stroma. Areas with artifacts, such as folds and tears, were also excluded from the analysis.
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4

Multiplex Profiling of Immune Cells in ESCC

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The compositions of major immune cells in TLSs of ESCCs were examined on FFPE ESCC slides using mfIHC and the PANO Multiplex IHC kit (Panovue, BJ, China) with antibodies for CD20 (Abcam, Boston, MA), CD21 (Abcam), Ki67 (Abcam), CD4 (Abcam), CD8 (ZSGB‐BIO, Beijing, China), LAMP3 (Abcam) and 4ʹ‐6ʹ‐diamidino‐2‐phenylindole (DAPI) as described previously.7 The stained slides were scanned using a Vectra Polaris Automated Quantitative Pathology Imaging System and batch analysed with HALO imaging analysis software (Indica Labs, Corrales, NM). Each TLS was segmented into a B cell zone (CD20+ cell and CD21+ cell‐clustered region) and a T cell zone (CD4+ cell and CD8+ cell‐clustered region). Cells in TLSs were phenotyped as B cells (CD20+), FDCs (CD21+), proliferating cells (Ki67+), CD4+ T cells (CD4+), CD8+T cells (CD8+) and mature DCs (LAMP3+). The intensity for each marker was recorded. The intratumoural infiltration of CD8+ T cells, CD4+ Th cells, Treg cells, memory T cells, natural killer cells, DCs and macrophages were evaluated on ESCC tissue microarrays as previously described.7
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5

Brain Vasculature Imaging and Analysis

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Fourteen days after tumor implantation, 6 mg/kg of Texas Red-conjugated 3 kDa dextran (TRD, ThermoFisher) was injected intravenously through the tail vein. TRD was allowed to circulate for 20 min, animals were exsanguinated by intracardiac perfusion of PBS with subsequent perfusion of 4% PFA solution for brain tissue fixation. Extracted brains were embedded in paraffin and sectioned at 5 μm thickness. Formalin-fixed sections were then subjected to either TRD staining or immunohistochemical (IHC) staining. Whole slide images were obtained at high resolution, 20×g using an AT2 scanner (Aperio, Leica Biosystems, Buffalo Grove, IL). Double staining for CD31/Claudin5 were performed on the Leica Biosystems Bond RX autostainer using the Bond Polymer Refine Kit (Leica Biosystems DS9800), with omission of the Post Primary reagent, DAB and Hematoxylin. Slides were double stained for CD31 (Abcam ab28364, 1:100), and Claudin-5 (Invitrogen 35-2500, 1:50). Images were captured using the Aperio Scanscope FL whole slide scanner (Leica Biosystems) into whole slide digital images and OPAL Fluorophore 520 (AKOYA) as per previously published [25 (link)]. Image analysis was performed using Halo imaging analysis software (v3.3.2541.423, Indica Lab’s, Corrales, NM) using Halo algorithm (Area Quantification FL v2.3.4) which were used to quantify positive area of TRD, CD31, and Claudin5.
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6

Quantifying Tumor-Infiltrating Immune Cells

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The pMLKL was classified by labeling index using the following formula: Labeling index (%) = number of pMLKL-positive cells × 100/number of total cells counted. Inflammatory/immune cell infiltration was initially determined by H&E staining. To quantify the tumor-infiltrating inflammatory/immune cells, three non-overlapping fields with high numbers of tumor-infiltrating immune cells (hot spots) were selected (Supplementary Fig. S4). The stained slides were scanned and digitally converted into virtual slides using NanoZoomer (Hamamatsu Photonics K.K., Japan). Inflammatory/immune cells were counted under high power magnification (× 400) by two of the investigators (TL and HU) using digital image analysis (Halo imaging analysis software; Indica Labs, Corrales, New Mexico, USA). For statistical analyses, low and high CD8 + T cells, FOXp3 T cells, and CD163 + macrophages were grouped using the median as a cutoff.
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