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Meshmixer software

Manufactured by Autodesk
Sourced in United States

Meshmixer is a free software application developed by Autodesk that allows users to manipulate and edit 3D meshes. The core function of Meshmixer is to provide tools for tasks such as combining, deforming, and sculpting 3D models.

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18 protocols using meshmixer software

1

3D Printing of Spinal Tumor Model

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Fig 1 shows the workflow for 3D printing to generate the human spine. Volumetric CT data were exported as 1.25 mm axial slices in the DICOM (.dcm) format to Seg3D and ImageVis3D (Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA), which are open-source software packages for volumetric image segmentation, volume rendering, and visualization. The spines were segmented and a 3D iso-surface was generated for each spine by generating a series of triangles using the above two software packages which can convert and export the stereolithography (STL) file format. The STL files were imported into Autodesk Meshmixer software (Autodesk Inc., San Rafael, CA, USA) to divide each spine and to convert the files into design web format (DWF) file formats. The DWF files were imported into SolidWorks 3D CAD software (SolidWorks Corp., Concord, MA, USA) to simulate spinal cancer by producing holes on the first lumbar vertebra (L1). The edited files were exported in the STL file format. Lastly, the twelfth thoracic vertebra (T12), L1 with tumors, and second lumber vertebra were divided laterally exactly into half using the Autodesk Meshmixer software to possibly measure the doses delivered to the inside of the vertebrae by inserting a dosimetric film.
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2

Reproducibility of Dental Dimensions

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To evaluate the reproducibility of dental dimensions, the heights and widths of each tooth on the plaster model (PM) were measured using a digital caliper, keeping the measurement of two decimal digits. The digital models obtained with the structured light scanning (SL) had the same measurements obtained using the Meshmixer software (Autodesk Inc., San Rafael, CA, USA) with the tool Units/Dimension (Fig 2). All measurements were performed in triplicate by a single calibrated evaluator, and the correlation coefficient of measurements was calculated after each process.
Demonstration of the measurement methodology employed to assess the height and width dimensions of teeth in the digital models obtained using the structured light device. Measurements were conducted using the <a class="product" href="/product/FSjiCZIBPBHhf-iFL4Lq/" target="_blank">Meshmixer software</a> (Autodesk Inc., San Rafael, CA, USA) with the Units/Dimension tool.
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3

Renal Tumor Volume Measurement

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All patients with a manually estimated tumor volume increase of >+10 cm 3 underwent computed measurement of tumor volume and ipsilateral renal parenchymal volume (IRPV) using volumetry software (Myrian, Inc.), which delineated renal tumor and parenchyma on all cross-sectional slices after manual outlining on a single cross-sectional slice. Non-parenchymal renal tissue such as the collecting system or renal sinus was automatically excluded. Software-generated 3D models of kidneys and renal tumors were exported in OJB file format into Autodesk ® Meshmixer ™ software to smoothen tissue surfaces without affecting calculated volumes (supplementary Figure 1).
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4

Digital Uterus Optimization for Anatomical Accuracy

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STL files were optimized using Autodesk Meshmixer software (Autodesk, San Rafael, USA). The "shrink-smooth" function was utilized to clean tough spots. The digital model was imported as a binary STL file into Autodesk Netfabb (Autodesk, Autodesk, San Rafael, USA) using the automatic repair algorithm to readjust surfaces for anatomical correctness on the model’s surface. A 20% smoothing strength was applied on the whole model. To cope with procedural flattening of the uterus (caused during scanning), copies of the uterus model were placed for a realistic alignment and merged using the "Boolean union" function.
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5

Cell Deformation Quantification via FEM

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A 3D FE simulation of the indentation was conducted to study the cell deformation. The cell 3D shape was acquired through a z-stack of live widefield images taken every 0.025 m. Cells were incubated with CellMask Green Plasma membrane live stain (ThermoFisher) for 15 min at 1:1,000 dilution. The image was 3D-deconvoluted in Auto-Quant x3 (Bitplane), the cell body cropped and its surface object created with Imaris 7.6.5 (Bitplane). The surface was then loaded into Autodesk Meshmixer software (Autodesk Inc.), meshed with 8,512 tetrahedral elements and finally exported to ABAQUS (Dassault Systèmes SE) to perform a FE simulation of the indentation using the material properties calibrated from DMA experiments. For implementation details, see Section 7.
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6

Fabrication of 3D Printed Foot Orthotics

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Figure 1 illustrates the procedure for fabricating FOs using a 3D printer. First, a participant's foot and ankle were maintained in the subtalar neutral position while a 3D scanner (SENSE, 3D System Inc., South Carolina, USA) scanned the foot; the scanning result was exported as a stereolithography (STL) file. The STL file was smoothed and edited using Meshmixer software (Autodesk, Inc., California, USA) before being sent to the 3D printer. The thickness of the FO model was set to 2 mm. The medial and lateral longitudinal arch of foot is covered by the FO. The FO model was printed in PLA filament, layered at 0.2 mm along with a shell thickness of 0.8 mm, fill density of 90%, and nozzle temperature of 200°C, by using a fused deposition modeling 3D printer (Infinity X1, INFINITY3DP, Kaohsiung, Taiwan). The build parameters of the 3D printer were defined using the open-source slicer program Ultimaker Cura 3.3 (Ultimaker BV, Geldermalsen, The Netherlands).
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7

3D Imaging and Molecular Mapping of Fungus Garden

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A 10- by 10- by 10-cm piece of fungus garden was removed from the chamber and scanned for creation of a virtual 3D image using a Structure Sensor Mark II and the Structure app (Occipital, Inc., Boulder, CO). The virtual 3D model was created using Meshmixer software (Autodesk Inc., San Rafael, CA), and the coordinates for ′ili visualization were obtained using MeshLab software (http://www.meshlab.net). The piece of fungus garden was then sliced into four layers, and each layer was further divided into nine pieces of approximately 3 by 3 by 3 cm (or 27 cm3) and homogenized by vortexing. Approximately 100 mg of each sample was extracted three times with 2:1 dichloromethane (DCM)-methanol (MeOH), sonicated for 10 min, dried under a stream of gaseous nitrogen, and shipped to the Dorrestein Laboratory at UC San Diego for LC-MS/MS acquisition. A short video showing the spatial distribution of the detected molecules from the deconstructed Atta texana fungus garden can be accessed at https://youtu.be/_ikhKelfrY8. Briefly, using the table of feature abundances containing the LC-MS/MS data (see “Feature-based molecular networking” described below) and the virtual 3D model, we show the distribution of each molecular signature detected in the fungus garden using ′ili for visualization (https://ili.embl.de/).
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8

Dental arch development measurements

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Six dental linear measurements concerning to dental arch development were considered:
20 (link) (1) MTS (only in the exposed group), (2) arch perimeter, (3) arch width, (4) arch length, (5) intercanine width and (6) intercanine length. For participants with premature loss of deciduous canines or those who had no fully erupted canines, intercanine width and intercanine length were not measured.
A trained and calibrated operator (PN) digitally performed dental linear measurements in a blinded way, using the Autodesk Meshmixer software (v. 3.5.474, California, United States).
21 (link) All digital measurements were repeated after a 1-month interval, for evaluation of method error.
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9

3D Cerebral Vascular Modeling and Printing

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To prepare the model, a patient's cerebral blood vessels were visualized using digital subtraction angiography (DSA), and the vascular model was constructed based on the images. First, vascular images were formatted with a virtual reality modeling language (VRML) file. Once acquired, the images were imported into Mimics® software (Materialize, Inc.) and converted into a stereolithography (STL) file (Figure 1A). The STL file format was then imported into Meshmixer® software (Autodesk, Inc.). Following that, the shape, size, and configuration of the vascular model were modified to the desired shape (Figure 1B). A standardized shape of the cerebral vessel was molded from the proximal internal carotid artery to the M2 segment of the middle cerebral artery. Finally, the 3D substrate was printed with an acrylonitrile butadiene styrene (ABS) resin utilizing a fused deposition method (FDM) 3D printer (uPrint® SE Plus, Staratasys, Inc.) (Figure 1C). Then, the vascular 3D substratemade of ABS resin was smoothened with acetone for 30 s (Figure 1D).
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10

Fabrication of Modular Anatomical Phantom

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From the virtual models obtained in the previous step, a tangible phantom made of photosensitive resin was produced via a stereolithography (SLA) 3D printer (Form 3, Formlabs, Somerville, MA, USA).
To make the virtual leg model compatible with the build volume of Form 3 printer (14.5 × 14.5 × 17.5 cm), CAD processing was carried out using MeshMixer software (Autodesk Inc., CA, US) in order to create a modular phantom composed of several parts. In detail, for the skin layer and the bones/vessels block, three cross sections were designed, each divided into two symmetrical portions defined by a longitudinal cutting plane, and a set of joints among the various separate parts was created. Each component was printed individually, using a grey resin for the skin (4 mm thick shell) and a clear resin for bone and vessel structures. Then, arteries were colored red to differentiate them from bones, and all pieces were assembled (Figure 2).
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