The specimens' fragment, which measured approximately 3 × 4 × 4 mm3, was subjected to μ-CT image acquisition. The imaging was carried out using an X-ray tomographic system (MICRO XCT-400, Xradia-Zeiss, Pleasanton, CA, USA) with the following settings: 40 kV voltage, 10 W power, no filter material, 0.16° rotation step in an angle interval of 184°. The voxel size was 5 × 5 × 5 μm3. Subsequently, Avizo Fire (Thermo Fisher Scientific, USA) was utilized for the data processing, image analysis and 3D reconstruction of the scanned samples.
Avizo fire
Manufactured by Thermo Fisher Scientific
Sourced in United States
Avizo Fire is a high-performance visualization and analysis software package for scientific and industrial data. It provides a comprehensive suite of tools for 3D data segmentation, processing, and visualization, enabling users to explore and understand complex datasets from a wide range of imaging techniques.
Automatically generated - may contain errors
Lab products found in correlation
4 protocols using avizo fire
1
Micro-CT Analysis of Specimen
2
Optimized μCT Imaging of Sponge Microstructure
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The μCT image acquisition of the sponge fragment (around 5 × 5 × 4 mm) was performed in wet conditions. Prior to scanning, samples were partially dehydrated and then dipped into sunflower oil to improve x-ray image contrast. Scanning was performed using a microfocussed X-ray tomographic system (MICRO XCT-400, Xradia–Zeiss, Pleasanton, CA, USA) with the following parameters: 40 kV voltage, 10 W power, no filter material, 0.16° rotation step in an angle interval of 184°. The voxel size was 5 × 5 × 5 μm3. The data processing, image analysis and 3D reconstruction of the scanned samples were performed with Avizo Fire (Thermo Fischer Scientific, Hillsboro, OR, USA).
Porosity was calculated by simple voxel counting in the 3D segmented image. Local pore diameter and fiber thickness were calculated using a model independent sphere filling technique [47 (link)]. Outcomes are expressed as mean ± standard deviation (SD).
Porosity was calculated by simple voxel counting in the 3D segmented image. Local pore diameter and fiber thickness were calculated using a model independent sphere filling technique [47 (link)]. Outcomes are expressed as mean ± standard deviation (SD).
3
Leaf Segmentation Using Avizo Fire
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Leaf discs were segmented from the surrounding sample holder by creating material masks in Avizo Fire software (version 6.0.0 Fire; Thermo Fisher Scientific, USA), using the ‘Label Field’ function and then binarising the selection.
4
Micro-CT Imaging of Electrospun Materials
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Imaging of the electrospun materials was conducted using a Zeiss Xradia Versa 520 micro-CT instrument (Carl Zeiss XRM, Pleasanton, CA), operating with a source voltage of either 30 or 40 kV. The instrument, which utilizes a two stage magnification system, coupling geometrical magnification with an optically coupled scintillator is described elsewhere [44] . It was found that a low source voltage and a sample diameter of 1 mm or less was required to obtain a good quality image due to the highly porous and low-Z nature of the materials. 1601-2201 projections of 30 s exposure each were recorded through an angular sample rotation of 360°. Reconstruction of the X-ray transmission images was conducted using a filtered back-projection reconstruction algorithm (XM Reconstructor, Zeiss). Use of a 20× objective lens and binning of 1 yielded a voxel size of 0.36 -0.40 μm in the reconstructed 3D data. The grey-scale reconstructed volume was then segmented into a binary image using Avizo Fire software (Thermo Fisher Scientific, Waltham, MA, USA) to designate pixels as either 'fiber' or 'pore' materials by thresholding based on their grey-scale value. These binarised data sets are then exported as image stacks and used as the structures for the computer modelling.
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