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Digital image hub software

Manufactured by Leica
Sourced in Germany

The Digital Image Hub software is a core product offered by Leica. It serves as a central platform for managing and processing digital images. The software provides tools for organizing, editing, and sharing digital images, facilitating efficient image workflow.

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9 protocols using digital image hub software

1

Histological Analysis of BAT Depots

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BAT depots were fixed in 4% paraformaldehyde for 24 h at room temperature before processing for paraffin embedding. Hematoxylin and eosin staining was performed using standard protocols on 5-μm tissue sections. Images were obtained using a SCN400 slide scanner and Digital Image Hub software (Leica Biosystems, Wetzlar, Germany) and were captured using Leica Image Viewer Software (National Institutes of Health, Bethesda, Maryland, USA). A minimum of 5 high-magnification fields were analyzed per mouse.
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2

Quantification of Hepatic Collagen

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Hepatic collagen content was visualized by staining paraffin sections with 0.1% Sirius Red (Sigma-Aldrich). At least five high-magnification fields were selected at random for each mouse. Images were obtained using a SCN400 slide scanner and Digital Image Hub software (Leica Biosystems, Wetzlar, Germany). All analyses were performed in a blinded manner by the investigator and quantified using an semi-automated script in ImageJ software (Version 1.50a, National Institutes of Health, Bethesda, Maryland, USA). Collagen content was quantified as percentage stained area per total tissue section area.
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3

Adipocyte Tissue Analysis Protocol

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Subcutaneous adipose tissue depots were fixed in 4% paraformaldehyde for 24 h at room temperature. Samples were then immersed in ethanol 100% before processing for paraffin embedding. To determine the adipocyte tissue diameter, paraffin sections of 5 µM were stained with hematoxylin and eosin. Images were obtained using a SCN400 slide scanner and digital image hub software 561 (Leica Biosystems, Wetzlar, Germany). Adipocyte diameter was determined using ImageJ (National institutes of health, Bethesda, MD, USA). F4/80 positive areas in the adipose tissue were randomly counted after immunostaining with F4/80 antibody (Ab6640, Abcam, Cambridge, UK). All histological observations were full blind analyzed by three individuals (S.G, M.V.H and M.R). At least 5 fields/mice were randomly selected and obtained using SCN400 slide scanner and digital image hub software (Leica Biosystems, Wetzlar, Germany).
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4

Acellular Cementum Thickness in Spp1 Knockout Mice

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Acellular cementum thickness was measured on WT control and Spp1/ mouse first molar mesial roots at 14, 30, 90, and 240 dpn (n = 3–6 for both genotypes unless otherwise stated). At 14 dpn, measurements were made at a distance of 100 μm from the cemento-enamel junction (CEJ), while at later ages, measurements were made at 300 μm from the CEJ on these longer roots. At ages older than 14 dpn, cellular cementum area was measured in central mesial root sections where buccal and lingual cellular cementum could be observed. Acellular cementum thickness was measured at 300 μm from the CEJ in WT control, Spp1/, Ank/, and Spp1/; Ank/ double knock-out mouse first molar mesial roots at 60 dpn (n = 5–6 for all genotypes). Linear measurements were performed using a digital slide scanner and Digital Image Hub software (version 4.0.7; Leica Biosystems, Nussloch, Germany), while cellular cementum area was measured using ImageJ software (version 1.49d; National Institutes of Health, Bethesda, MD, USA). Statistical analyses were performed using GraphPad Prism (version 6.01; La Jolla, CA. USA).
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5

Histological Analysis of Adipose Tissue

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Subcutaneous adipose tissue depots were fixed in 4% paraformaldehyde for 24 h at room temperature. Samples were then immersed in ethanol 100% for 24 h before processing for paraffin embedding.
To determine the adipocyte tissue diameter, paraffin sections of 8 m were stained with hematoxylin and eosin. Macrophage infiltration in the adipose tissue was assessed by staining them with a MAC-2/galectin-3 antibody (CL8942AP, Cedarlane Laboratories, Burlington, ON) diluted 1:500 in blocking buffer overnight, and was detected with an anti-rat igG antibody (AI-4001, Vector Laboratories, Burlingame, CA; 10 mg/ml). Immune complexes were detected by a Dako Envision kit (Agilent Technologies, Santa Clara, CA), according to the manufacturer's instructions, and briefly counterstained with hematoxylin. Hepatic lipid content was visualized by using Oil red O staining.
All analyses were performed in a blinded manner by the investigator and quantified using ImageJ software (version 1.50a, National Institutes of Health, Bethesda, MD). At least five high-magnification fields were selected at random for each mouse. Images were obtained using a SCN400 slide scanner and Digital Image Hub software (Leica Biosystems, Wetzlar, Germany).
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6

Histological Analysis of BAT Tissue

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BAT tissue was fixed in 10% formalin overnight, paraffin embedded, sectioned, and stained by the Vanderbilt Translational Pathology Shared Resource for hematoxylin and eosin, CD11b (macrophages), B220 (B cells), and Major Basic Protein (MBP – eosinophils). Images were captured and analyzed through the Vanderbilt Digital Shared Resource and Leica Digital Image Hub software.
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7

Histological Analysis of BAT Tissue

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BAT tissue was fixed in 10% formalin overnight, paraffin embedded, sectioned, and stained by the Vanderbilt Translational Pathology Shared Resource for hematoxylin and eosin, CD11b (macrophages), B220 (B cells), and Major Basic Protein (MBP – eosinophils). Images were captured and analyzed through the Vanderbilt Digital Shared Resource and Leica Digital Image Hub software.
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8

Quantitative Assessment of Epithelial Nuclear Density

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A representative slide from the diagnostic target biopsy was cut, processed and stained with H&E for research purposes at the same time that the biopsy was processed for clinical diagnosis. This representative H&E section was scanned and digitized at 20X using Aperio, Scanscope and prepared for digital review and annotation using Digital Image Hub software (SlidePath/Leica). For the quantitative assessment of END shown in Figure 1 (AC), an image-based algorithm developed through Aperio’s Genie Classifier was applied to the whole slide image to define epithelium, stroma, and adipose tissue composition. Prior analyses confirmed strong agreement (≥95%) between this automated assessment and pathologist semi-quantitative visual review [7 (link), 8 ]. Assessment of END was restricted to H&E slides where the proportion of tissue stroma on the slide was ≥10%. The number of nuclei per unit area in the epithelium (END) was estimated using a validated nuclear detection Genie algorithm [7 (link), 8 ].
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9

Paraffin and Cryosection Liver Staining

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For paraffin staining, livers were fixed in 4% paraformaldehyde and paraffin-embedded. Two µm sections were cut and deparaffinized, rehydrated, and boiled at 100°C. Liver sections were stained with hematoxylin-and-eosin or immunolabeled with F4/80, caspase-3, or iNOS specific antibodies (automated BOND-MAX stainer with Bond Polymer Refine Detection Kit (Leica)). Images were acquired with a Leica SCN400 Slide Scanner and quantified using Leica Digital Image Hub software. For cryosections, livers were fixed in 4% paraformaldehyde and dehydrated in 30% sucrose solution before freezing in Tissue-Tek (Sakura). 6 µm sections were cut and immunolabelled with primary antibodies specifically binding F4/80, albumin, or VACV. Photographs were taken on an Axiovert microscope (Zeiss) and AxioVision software. Original pictures were adjusted for brightness, contrast, and color balance and post processed using Fiji software (NIH). Cell counting was performed using Fiji software.
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