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Microview analysis software

Manufactured by GE Healthcare
Sourced in United States

MicroView analysis software is a tool designed for the visualization and analysis of 3D micro-computed tomography (micro-CT) data. It provides users with the ability to view, measure, and analyze high-resolution, three-dimensional images obtained from micro-CT scans. The software is capable of handling a variety of data formats and supports various image processing and analysis functions.

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5 protocols using microview analysis software

1

Micro-CT Analysis of Adipose Tissue

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Mice were anesthetized with a continuous flow of 3% isoflurane/oxygen mixture and positioned prone with both legs at right angles. The region spanning the entire torso to the distal tibia of each mouse was scanned with Explore Locus micro-CT scanner (GE Healthcare) without contrast agents. Micro-CT projections of the animals were acquired using 80 kV, 450 μA current, with 100 ms acquisition time. Four hundred projections were acquired over 360°. The resolution of the acquired images was 93 μm. The reconstructed 3D images were visualized and analyzed using MicroView analysis software (GE Healthcare).
The amount of adipose tissue was determined as described by Luu et al.[40 (link)]. Briefly, the gray-scale histogram of the reconstructed images presents a peak that indicates the presence of fat. A low and a high gray-scale threshold corresponding to that peak were chosen. The fat was quantified as the sum of the volumes of all the voxels with a gray-scale value ranging between the low and the high thresholds. The analysis was done on the abdominal region (between the proximal end of L1 and the distal end of S1).
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2

In vivo Lung Metastasis Assay

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For in vivo lung metastasis assay, 3 × 105 transfected ras-transformed NIH-3T3 cells (NC (Negative Control) or siTcirg1) were mixed with 0.1 ml PBS, and the cell suspension was injected into 5-week-old athymic male nude mice through tail veins. After injection, the mice were examined daily. After 12 days of inoculation, the mice were anesthetized for micro-computed tomography (micro-CT) imaging. The mice were placed on the scanner bed, and micro-CT images were acquired using a Triumph II PET/CT System (Trifoil Imaging, Chatsworth, CA, USA). Images were reconstructed, and the total lung tumor volume per mouse was quantified using MicroView analysis software (GE Healthcare, Pittsburgh, PA, USA). After CT imaging, the mice were euthanized to obtain lung images, and the number of lung surface nodules were counted.
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3

Micro-CT Analysis of Mouse Mandibles

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Procedures for the preparation of mandible samples and micro-CT were as previously described [13 (link)]. Briefly, 3-, 6-, and 9-month-old mice were euthanized using compressed 5% CO2 gas and their mandibles and femurs were removed and fixed overnight with 4% buffer-saturated paraformaldehyde. Bones were scanned using a Scanco80 (μ80) system (Scanco Medical AG, Bassersdorf, Switzerland). The instrumental isotropic resolution was 10 μm and the iso-surface was reconstructed using two-dimensional raw data using MicroView analysis software (GE Healthcare, Little Chalfont, UK). The image analysis method was based on Hounsfield units (2800 units) and region-grow algorithms to segment image data defining separate anatomical structures. Images were reconstructed with Mimics® 14.0 (Materialise, Leuven, Belgium) software using a global threshold of 1400 Hounsfield units.
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4

Micro PET-CT Imaging of Mice

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Mice were anaesthetized with 1% to 3% flow of isoflurane/oxygen, and the chest area was visualized with the GE eXplore Locus micro PET-CT scanner (GE Healthcare). The resulting raw data were reconstructed to a final image volume of 875 ×875 × 465 slices at 93 μm3 voxel dimensions. Reconstructed slices were output in the manufacturer’s raw format and corrected equal to Hounsfield units and analysed with MicroView analysis software (GE Healthcare).
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5

Quantifying Adipose Tissue in Mice via Micro-CT Scanning

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In the second set of experiments, mice were anesthetized with a continuous flow of 3% isoflurane/oxygen mixture and positioned prone with both legs at right angles. The region spanning the entire torso to the distal tibia of each mouse was scanned with an Explore Locus micro-CT scanner (GE Healthcare, Chicago, IL, USA) without contrast agents. Four hundred micro-CT projections of the animals were acquired over 360° using 80 kV, 450 μA current and 100 ms of acquisition time with a resolution of 93 μm. The reconstructed 3D images were visualized and analyzed using MicroView analysis software (GE Healthcare, Chicago, IL, USA). The amount of adipose tissue was determined as in [89 (link)]. The gray-scale histogram of the reconstructed images presents a peak that indicates the presence of fat. One low and one high gray-scale threshold corresponding to that peak were chosen. The fat was quantified as the sum of the volumes of all the voxels with a gray-scale value between the low and the high thresholds. The analysis was done on the abdominal region (between the proximal end of lumbar vertebrae L1 and L5).
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