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192 protocols using halo software

1

Whole-Slide Quantitative Image Analysis

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Whole-slide scans were obtained on a Zeiss Axioscan Z1 brightfield slide scanner using a 20× objective lens. Whole-slide scans were analyzed using HALO software (Indica Labs) using the algorithm Area Quantification v2.1.11, quantifying the percent area positive for the indicated marker in the total analyzed area. Representative areas were also captured and assembled into panels using HALO software (Indica labs).
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Multiplex IHC Tumor Analysis

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Each biopsy was analysed using HalioDx Digital Pathology Platform. Images obtained following Sequential Multiplex Immunohistochemistry workflow were aligned with Brightplex-fuse (HalioDx software). A pseudo-color image containing the information for the expression of all biomarkers was created. The latter was analysed by HALO software (Indica Labs) for the identification of tumor areas using annotation tools. Next, positively stained cells were detected and quantified in the selected regions of interest using HALO software (Indica Labs).
Phenotypes of myeloid cells were visually verified according to expected staining and quantified with Brightplex MultiplexR (HalioDx software). The final data were expressed as the myeloid cell density (cells/m2) in the analyzed tumor regions.
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3

Quantifying Intratumoral Lymphocytes within Tertiary Lymphoid Structures

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B-cell clusters that were identified as TLS were further subdivided from the surrounding tissue using HALO Software (Indica Labs, Albuquerque, New Mexico, USA) for analyses of intra-TLS lymphocytes in this study. Specifically, an individual box was drawn around the TLS in HALO for both PDM and NDMM specimens. B- and T-cell areas were bounded, using PNAd+ vasculature to define the border periphery. This enabled analyses of intra-TLS lymphocytes from other intra-tumoral lymphocytes in PDM, and enabled a uniform analysis of TLS T-cell regions in both PDM and NDMM. Immune cells were quantified using HALO Software (Indica Labs, Albuquerque, New Mexico, USA). Lymphocyte density was quantified as density of cells expressing a given marker (cells/mm2) within the ROI. Fractions of lymphocytes expressing a given activation marker were calculated by normalizing the density of cells expressing the lymphocyte marker and the activation marker by the density of cells expressing the lymphocyte marker (Example: Fraction of Ki67+CD8+ T-cells = CD8+Ki67+/CD8+). Fractions where the denominator was zero were treated as zeros. TLS areas reported in Supplemental Table S1 were quantified using HALO Software. Measurements of the total specimen areas reported in Supplemental Table S1 were obtained on H&E stained specimens and analyzed using ImageJ software.14 (link)
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4

Immunofluorescence Imaging of Organoids

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For immunofluorescence, organoids were grown in eight-well chambers and incubated with EdU for 4 h prior to cell fixation with 4% paraformaldehyde. Samples were permeabilized with PBS + 0.2% Triton-X100 for 10 min, blocked with PBS + 0.2%Triton-X100 + 0.05% Tween-20 + 2% BSA for 30 min, and incubated with primary and secondary antibodies at room temperature. Antibodies are described in SI Appendix, Table S1. EdU incorporation assays were performed using the Click-it EdU imaging kit (ThermoFisher, C10338) according to the manufacturer’s instructions. Nuclei were visualized by staining samples with DAPI (Dihydrochloride, ThermoFisher, D1306, 2 μg/mL) prior to being mounted onto a glass slide for imaging using a Zeiss LSM800 confocal microscope. Organoid sizes were quantified by measuring the diameter of 20 to 40 individual organoids per condition using ZEN software, and fluorescent staining was analyzed by using Halo software (Indica Labs).
Immunofluorescent staining of tissue was based on protocols described previously (24 (link)). Immunofluorescence images were acquired using an Axio scanner (Zeiss) and analyzed by using Halo software (Indica Labs).
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5

Multiplex IHC Analysis of Tumor Myeloid Cells

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Each biopsy was analyzed using the HalioDx Digital Pathology Platform. Images obtained following sequential multiplex IHC workflow were aligned with Brightplex-fuse (HalioDx software). A pseudo-color image containing the information for the expression of all biomarkers was created. The latter was analyzed by HALO software (Indica Labs) for the identification of tumor areas using annotation tools. Next, positively stained cells were detected and quantified in the selected regions of interest using HALO software (Indica Labs).
Phenotypes of myeloid cells were visually verified according to expected staining and quantified with Brightplex MultiplexR (HalioDx software). The final data were expressed as the myeloid cell density (cells/m2) in the analyzed tumor regions.
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6

Multiplex Immunostaining of CK19, IGFBP4, and Slug

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Multiplex staining of CK19, IGFBP4 and Slug co-expression on cancer tissues was performed using 4-color kit (WiSee Biotechnology), according to manufacturer's instruction. Three primary antibodies are anti-Cytokeratin 19 (Cat: ab52625, diluted 1:400, Abcam), anti-IGFBP4 (Cat: 18500-1-AP, diluted 1:500, proteintech) and anti-SNAIL2 (Cat: 12129-1-AP, diluted 1:400, proteintech). After applied different primary antibodies (anti-Cytokeratin 19, anti-IGFBP4 and anti-SNAIL2, sequentially), the secondary antibody (HRP conjugated) was added and incubated, followed by tyramide signal amplification (Cat: M-D110051, WiSee Biotechnology). After all antigens being labeled with different antibodies, DAPI (Cat: D1306, ThermoFisher) was used for nuclei staining. Pannoramic MIDI imaging system (3D HISTECH) was then used for scanning the stained slides. The number of target cells were analyzed by HALO software (Indica Labs).
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7

Histological and Immunohistochemical Analysis of Skin Samples

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Standard procedures were used for histology and immunohistochemistry as previously described18 (link) and detailed in the supplemental materials. All routine H&E staining and IHC were conducted using ST5010 autostainer and BondRX immunostainer, respectively (both from Leica, Wetzlar, Germany). Standardized IHC protocol was used for anti-IBA-1 (Wako Chemicals, Richmond, VA) staining. Stained tissue slides were digitized with a P250 pathology slide scanner (Perkin Elmer, Waltham, MA) and analyzed by HALO software (Indica Labs, Corrales, NM).
For human and mouse skin samples, 4 µm microtome sections were collected on slides for H&E and IHC staining. An analysis technique was chosen to minimize the impact of variations in samples since total skin area as well as the proportion of epidermis to dermis can change as the disease progresses. Also, human biopsy collection techniques can result in “edge effects” in the dermis. Thus, for human biopsies, IBA1+ staining was normalized to the length of epidermis evaluated, and data are presented as area (µm2) divided by length (µm). For mouse ear samples, a standard 5 mm length was analyzed for each type of staining, and data are reported as area (mm2 or µm2) for both the H&E and IHC assessment.
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8

Histopathological Evaluation of Cardiac Fibrosis

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Tissue sections were stained with hematoxylin & eosin (H&E) (hematoxylin, GHS132-1L; eosin Y solution, HT110132-1L; Sigma-Aldrich, St. Louis, MO) for routine light microscopy evaluation. The Masson’s trichrome stain kit (ab150686, Abcam, Cambridge, UK) to detect cardiac fibrosis was used according to the manufacturer’s instructions. Picro Sirius red staining (Direct red 80, 65548, Sigma-Aldrich, St. Louis, MO) and Picric acid (10015714, Xilong, China) was also applied to evaluate the fibrotic area, appearing as red color. Histopathological scores were graded as 0 “-” (no apparent change), 1 (minimal), 2 (moderate), 3 (marked), and 4 (severe) based on the increasing extent and/or complexity of morphological changes124 (link),125 (link). More details for grading standards are described in Supplementary Table 2.
The stained tissue sections were captured under an Olympus BX53 digital microscope with the cellSens digital imaging software (Olympus, Tokyo, Japan), scanned on a Leica Aperio AT2 scanner (200x magnification; Leica Biosystems), and analyzed with the Halo software v3.0.311.217 (Indica Labs) with Area Quantification (v2.1.3.0; Indica Labs) and CytoNuclear (v2.0.5.0; Indica Labs) algorithm.
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9

Quantitative Analysis of Lung Immune Cells

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Quantitative image analysis was performed using HALO software (v3.0.311.405; Indica Labs) on at least one lung lobe cross section from each animal. For MPO (neutrophil) and Iba-1 (macrophage) quantification, blood vessels (>5mm2), bronchi, bronchioles, cartilage, and connective tissue were manually excluded; subsequently, the Multiplex IHC v2.3.4 module was used to detect MPO+ or Iba-1+ cells and is presented as a proportion of total alveolar tissue (cells/mm2). For Mx1, the Area Quantification v2 module was used to determine the percentage of Mx1 as a proportion of the total tissue area. In all instances, manual curation was performed on each sample to ensure the annotations were accurate and to correct false positives/false negatives.
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10

Immunohistochemical Analysis of BAALC Expression

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Tissue microarrays were purchased from SuperBioChip Laboratories (Seoul, South Korea), and were comprised of 40 matched normal breast cores, 70 breast cancer cores, and 10 matched lymph node cores. The tissues were stained for BAALC expression with a rabbit monoclonal antibody (1:50; Novus Bio, Noble Park North, VIC, Australia), using a Ventana Discovery Ultra automated system (Ventana Medical Systems Inc., Tucson, AZ, USA) as previously described (30 (link)), with the following modifications. Antigen retrieval was performed for 40 min, and Biocare Medical Background Sniper was applied for 32 mins at 35°C. Sections were scored using an immunohistochemistry score on a continuous scale of 0-300, as previously described (31 (link)). Briefly, this involves integrating the intensity and frequency of staining. Staining intensity was scored in four categories: no staining (0), weak staining (1, light brown membrane staining that is visible only under high magnification), intermediate staining (2), and strong staining (3, dark brown staining that is visible under low magnification). The percentage of cells at different staining intensities was determined using HALO software (Indica Labs, Corrales, NM). An H-score was then calculated using:
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