scholarly journals Three-Dimensional Digital Reconstruction of Ti2AlC Ceramic Foams Produced by the Gelcast Method

Materials ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4085
Author(s):  
Christos S. Stiapis ◽  
Eugene D. Skouras ◽  
Vasilis N. Burganos
Keyword(s):  
Structural Information ◽  
Gas Permeability ◽  
Small Deviation ◽  
Hard Spheres ◽  
Three Dimensional ◽  
Reconstruction Technique ◽  
Sem Images ◽  
Reconstruction Process ◽  
Ceramic Foams ◽  
Digital Reconstruction

A digital reconstruction technique is presented that generates three-dimensional (3D) digital representations of ceramic foams created by the foam-gelcasting technique. The reconstruction process uses information that is directly extracted from Scanning Electron Microscopy (SEM) images and offers a 3D representation of the physical sample accounting for the typically large pore cavities and interconnecting windows that are formed during the preparation process. Contrary to typical tessellation-based foam treatments, a spherical representation of the pores and the pore windows of the foams is assumed and a novel hybrid algorithm that combines a variation of Lubachevsky-type and Random Close Packing of Hard Spheres (RCPHS) algorithms has been developed to obtain near-optimum solutions to the packing problem of the spheres that represent the pores. Numerical simulations are performed directly on the 3D reconstructed foams to determine their gas permeability. The model predictions are compared with experimental gas permeability data that were obtained for the physical samples. The pore wall thickness can be treated as the single fitting parameter in the entire reconstruction process, although it is shown that images of sufficient resolution could eliminate the need even for that. The foams that are produced by this method yield quantitatively similar pressure drops with experiments for various superficial velocity values, with a very small deviation in the range of 1.7–2.8%. The proposed methodology could be utilized for the prediction of the permeability and transport properties of complex foamy porous structures, similar to the gelcast-type of foams, from a single SEM image of the foam sample without resorting to serial tomography or other structural information, thus saving considerable time and effort from experimental work.

Modelling mixed matrix membranes and ceramic foams with application to separation processes

2021 ◽  
Author(s):  
Χρήστος Στιάπης
Keyword(s):  
Applied Sciences ◽  
Three Dimensional ◽  
Mixed Matrix Membranes ◽  
Separation And Purification ◽  
Mixed Matrix ◽  
Separation Processes ◽  
Ceramic Foams ◽  
Digital Reconstruction ◽  
Toxin Removal ◽  
Matrix Membranes

Τα ετερογενή πορώδη υλικά είναι παρόντα σε πολλές πρακτικές και σύγχρονες εφαρμογές, όπως στη διήθηση αιωρημάτων και αεροκολλοειδών, τις διεργασίες βιομετατροπής άνθρακα, τη γεωλογική αποθήκευση CO2 και τις βιοϊατρικές διεργασίες, Οι εφαρμογές αυτές βασίζονται σε συγκεκριμένους φυσικούς, χημικούς ή βιοχημικούς μηχανισμούς για τη λειτουργία τους, όπως είναι η μεταφορά μάζας, ορμής ή ενέργειας, η ρόφηση καθώς και οι χημικές/βιοχημικές αντιδράσεις. Οι μηχανισμοί αυτοί στο εσωτερικό των πορωδών μέσων συναρτώνται σε μεγάλο βαθμό με τη δομή και τη μορφολογία του πορώδους μέσου. Ως εκ τούτου, απαιτείται λεπτομερής μελέτη της εσωτερικής δομής αυτών των πορωδών μέσων για την κατανόηση και τη βελτίωση των διεργασιών στις οποίες χρησιμοποιούνται. Μια λεπτομερής περιγραφή της μικροδομής μπορεί να χρησιμοποιηθεί για την εξακρίβωση των φυσικών ιδιοτήτων και την εκτίμηση και βελτίωση της απόδοσής τους. Η παρούσα διατριβή χρησιμοποιεί στατιστικές ιδιότητες που εξάγονται από εικόνες ηλεκτρονικής μικροσκοπίας σάρωσης (SEM) για τη διερεύνηση και την ψηφιακή αναδημιουργία δομών πορωδών μέσων. Αρχικά, επιλέγεται μια στοχαστική προσέγγιση για την ανακατασκευή πορωδών μέσων επειδή αποτυπώνει τη στοχαστική φύση τους σε λογικά εύρη υπολογιστικού κόστους και χρόνου. Στη συνέχεια, δημιουργείται ένα ψηφιακό μοντέλο ανακατασκευής και ένα πρόγραμμα υπολογιστή για την αναδημιουργία δομών πορωδών μέσων αξιοποιώντας τις διάφορες στατιστικές ιδιότητές τους. Μια ειδική εφαρμογή που μελετάται στην παρούσα διατριβή είναι ο ψηφιακός χαρακτηρισμός των μεμβρανών PES/ PVP που χρησιμοποιούνται σε διαδικασίες αιμοκάθαρσης και η ανάπτυξη ενός μοντέλου που μπορεί να προβλέψει την απόδοσή τους στον καθαρισμό του αίματος. Οι εν λόγω μεμβράνες αποτελούνται από πολλαπλά στρώματα και, συνήθως, μια δομή που μοιάζει με αφρό σχηματίζεται στο εσωτερικό τους, επηρεάζοντας την απόδοση διαχωρισμού και βελτιώνοντας τις μηχανικές ιδιότητες της μεμβράνης.Σε αυτό το πλαίσιο, αναπτύχθηκε μια νέα μέθοδος για την ψηφιακή ανακατασκευή αφρών χρησιμοποιώντας την προσέγγιση Laguerre Tessellation, η οποία παρουσιάζει αξιοσημείωτη ικανότητα να περιγράφει αφρώδη υλικά που αποτελούνται από μακροκοιλότητες με πολυεδρική μορφή. [1]. Επιπλέον, για να περιγραφούν αφρώδη υλικά με μακροκοιλότητες σφαιρικού σχήματος και αυξημένη συνδεσιμότητα, αναπτύχθηκε μια εναλλακτική μέθοδος που βασίζεται στη δημιουργία συσσωρεύσεων κοίλων σφαιρών. [2]. Τέλος, αναπτύχθηκε ένα μοντέλο για την περιγραφή της απομάκρυνσης των δεσμευμένων σε πρωτεΐνες τοξινών κατά τη διάρκεια της διαδικασίας αιμοκάθαρσης με τη χρήση μεμβρανών μικτής μήτρας και επικυρώθηκε με πειραματικά δεδομένα. [3]. Αυτό το μοντέλο επεκτάθηκε περαιτέρω και χρησιμοποιήθηκε για την πρόβλεψη της απόδοσης μιας πολυστρωματικής μεμβράνης μικτής μήτρας κατά την απομάκρυνση της τοξίνης κρεατινίνη. [4]. Επιπλέον, η ενσωμάτωση των διαδικασιών ανακατασκευής που αναπτύχθηκαν στο μοντέλο μείωσε περαιτέρω τα απαιτούμενα πειραματικά δεδομένα.Η χρήση αυτών των μεθόδων ανακατασκευής στο νέο μοντέλο που αναπτύχθηκε παρείχε πληροφορίες για τα χαρακτηριστικά της μεμβράνης και τις συνθήκες της διεργασίας. Έτσι, θα μπορούσε να βοηθήσει στη βελτιστοποίηση της μεταφοράς μάζας μέσω της μεμβράνης αιμοκάθαρσης. Επιπλέον, η διαδικασία αυτή μπορεί να επεκταθεί σε διαφορετικές τεχνολογίες διαχωρισμού ανοίγοντας το δρόμο προς το σχεδιασμό προσαρμοσμένων δομών πορωδών μέσων με επιθυμητές ιδιότητες μεταφοράς αποφεύγοντας χρονοβόρα και συχνά ακριβά φυσικά πειράματα. 1. Stiapis, C.S.; Skouras, E.D.; Burganos, V.N. Advanced Laguerre Tessellation for the Reconstruction of Ceramic Foams and Prediction of Transport Properties. Materials 2019, 12, 1137.2. Stiapis, C.S.; Skouras, E.D.; Burganos, V.N. Three-Dimensional Digital Reconstruction of Ti2AlC Ceramic Foams Produced by the Gelcast Method. Materials 2019, 12, 4085.3. Stiapis, C.; Skouras, E.; Pavlenko, D.; Stamatialis, D.; Burganos, V. Evaluation of the Toxin-to-Protein Binding Rates during Hemodialysis Using Sorbent-Loaded Mixed-Matrix Membranes. Applied Sciences 2018, 8, 536.4. Stiapis, C.S.; Skouras, E.D.; Burganos, V.N. Prediction of Toxin Removal Efficiency of Novel Hemodialysis Multilayered Mixed-Matrix Membranes. Separation and Purification Technology 2020, 250, 117272.

scholarly journals 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2075 ◽  
Author(s):  
Andreas Unterberger ◽  
Andreas Kempf ◽  
Khadijeh Mohri
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Scalar Fields ◽  
Turbulent Flames ◽  
Parameter Study ◽  
Reconstruction Technique ◽  
Genetic Operators ◽  
Bunsen Flame ◽  
Reconstruction Process ◽  
Swirl Flame

An evolutionary reconstruction technique (ERT) was developed for three-dimensional (3D) reconstruction of luminescent objects, in particular turbulent flames for the first time. The computed tomography (CT) algorithm is comprised of a genetic algorithm (GA) and a ray-tracing software. To guide the reconstruction process, a mask is introduced. It uses a Metropolis algorithm (MA) to sample locations where specific genetic operators can be applied. Based on an extensive parameter study, performed on several types of phantoms, the ability of our algorithm for 3D reconstructions of fields with varying complexities is demonstrated. Furthermore, it was applied to three experiments, to reconstruct the instantaneous chemiluminescence field of a bunsen flame, a highly turbulent swirl flame and the turbulent Cambridge-Sandia stratified flame. Additionally, we show direct and quantitative comparison to an advanced computed tomography of chemiluminescence (CTC) method that is based on an algebraic reconstruction technique (ART). The results showed good agreement between CTC and ERT using both phantom data from flame simulations, and experimental data.

scholarly journals Improvements on marker-free images alignment for electron tomography

2020 ◽  
Author(s):  
C.O.S. Sorzano ◽  
F. de Isidro-Gómez ◽  
E. Fernández-Giménez ◽  
D. Herreros ◽  
S. Marco ◽  
...  
Keyword(s):  
Structural Information ◽  
Electron Tomography ◽  
Three Dimensional ◽  
Reconstruction Process ◽  
New Approach ◽  
Alignment Procedure ◽  
Transmission Electron ◽  
Marker Free ◽  
Stem Tomography

AbstractElectron tomography is a technique to obtain three-dimensional structural information of samples. However, the technique is limited by shifts occurring during acquisition that need to be corrected before the reconstruction process. In 2009, we proposed an approach for post-acquisition alignment of tilt series images. This approach was marker-free, based on patch tracking and integrated in free software. Here, we present improvements to the method to make it more reliable, stable and accurate. In addition, we modified the image formation model underlying the alignment procedure to include different deformations occurring during acquisition. We propose a new way to correct these computed deformations to obtain reconstructions with reduced artifacts. The new approach has demonstrated to improve the quality of the final 3D reconstruction, giving access to better defined structures for different transmission electron tomography methods: resin embedded STEM-tomography and cryo-TEM tomography. The method is freely available in TomoJ software.

scholarly journals Investigation of the Effect of Magnification, Accelerating Voltage, and Working Distance on the 3D Digital Reconstruction Techniques

Scanning ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Seyed Mahmoud Bayazid ◽  
Nicolas Brodusch ◽  
Raynald Gauvin ◽  
Michela Relucenti
Keyword(s):  
Spherical Particles ◽  
Reconstruction Technique ◽  
Quantitative Characterization ◽  
Sem Images ◽  
Digital Reconstruction ◽  
Backscattered Electron ◽  
Working Distance ◽  
Backscattered Signals ◽  
2D Images

In this study, the effect of Scanning Electron Microscopy (SEM) parameters such as magnification ( M ), accelerating voltage ( V ), and working distance (WD) on the 3D digital reconstruction technique, as the first step of the quantitative characterization of fracture surfaces with SEM, was investigated. The 2D images were taken via a 4-Quadrant Backscattered Electron (4Q-BSE) detector. In this study, spherical particles of Ti-6Al-4V (15-45 μm) deposited on the silicon substrate were used. It was observed that the working distance has a significant influence on the 3D digital rebuilding method via SEM images. The results showed that the best range of the working distance for our system is 9 to 10 mm. It was shown that by increasing the magnification to 1000x, the 3D digital reconstruction results improved. However, there was no significant improvement by increasing the magnification beyond 1000x. In addition, results demonstrated that the lower the accelerating voltage, the higher the precision of the 3D reconstruction technique, as long as there are clean backscattered signals. The optimal condition was achieved when magnification, accelerating voltage, and working distance were chosen as 1000x, 3 kV, and 9 mm, respectively.

Stereophotography and spatial surface reconstruction using scanning electron microscopy images

2015 ◽  
Vol 87 (3) ◽  
pp. 283-292 ◽  
Author(s):  
Simonas Kareiva ◽  
Algirdas Selskis ◽  
Feliksas Ivanauskas ◽  
Simas Sakirzanovas
Keyword(s):  
Surface Reconstruction ◽  
Spatial Data ◽  
Three Dimensional ◽  
Model Material ◽  
Reconstruction Technique ◽  
Sem Images ◽  
Sample Motion ◽  
Sem Imaging ◽  
Visual Reconstruction ◽  
Cloud Of Points

Abstract Three-dimensional reconstruction technique to fully characterize structural performance of solid materials is suggested. The three-dimensional sample data out of the SEM images taken from different angles were extrapolated, measured and interpreted. In stereometry, the technique of three dimensional SEM imaging is fairly straightforward. Selected specimen area is photographed using SEM imaging tools from two different angles. Tilting is performed using standard SEM manipulation tools. In some cases, the specimen must be rotated to such a position, in which the tilting is done on visual ordinate axis. The resulting images are combined in pairs using any three-dimensional anaglyph software available to produce an anaglyph image, which, in turn, can be analyzed using standard 3D glasses. To achieve finer results, extrapolation of spatial data was done from three or more sample images using visual reconstruction software applications. This technique for recovering spatial data from the SEM pictures (structure-from-motion) is the VisualSFM software, which is an application for spatial reconstruction using structure from sample motion. Using VisualSFM, the images are analyzed for matching points and the camera angle is guessed for each image. Any number of additional viewports can be added to VisualSFM software. Based on this input, a surface is reconstructed where the matching points intersect and a colour value is assigned. The software produces a cloud of points, which has to be processed externally. Freely available software, such as MeshLab can be used to join the point cloud to a mesh and, as a second step of reconstruction, apply surface properties to the mesh polygons. The gold particles were selected as model material for the spatial 3D surface reconstruction.

scholarly journals Three-dimensional Pt-nanoparticle networks studied by anomalous small-angle X-ray scattering and X-ray absorption spectroscopy

2002 ◽  
Vol 35 (4) ◽  
pp. 459-470 ◽  
Author(s):  
T. Vad ◽  
H.-G. Haubold ◽  
N. Waldöfner ◽  
H. Bönnemann
Keyword(s):  
Small Angle ◽  
Structural Information ◽  
Hard Spheres ◽  
Multicomponent System ◽  
Three Dimensional ◽  
Scattering Data ◽  
X Ray ◽  
X Ray Scattering ◽  
X Ray Absorption ◽  
Ray Scattering

Anomalous small-angle X-ray scattering (ASAXS) experiments with synchrotron radiation were performed to study the three-dimensional nanostructures of metal/organic hybrids formed by crosslinking aluminium-organic-stabilized platinum nanoparticles with various bifunctional organic spacer molecules. The advantage of ASAXS is the possibility of separating the particle scattering from that of the organic components, thus providing unbiased information about particle size distributions and interparticle correlation. In order to obtain the structural information from the scattering data, a model function based on Vrij's analytical solution for a multicomponent system of hard spheres is proposed. The model is applied to three different samples and the results are compared with those obtained from the application of Fourier methods (characteristic function) and X-ray absorption measurements.

Two-Dimensional Crystallization of Tetanus Toxin

1985 ◽  
Vol 43 ◽  
pp. 528-529
Author(s):  
Jeffry A. Reidler ◽  
John P. Robinson
Keyword(s):  
Electron Microscopy ◽  
Tetanus Toxin ◽  
Structural Information ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Membrane Interface ◽  
3D Reconstructions ◽  
Cellular Receptors ◽  
Computer Reconstruction ◽  
2D Crystals

We have prepared two-dimensional (2D) crystals of tetanus toxin using procedures developed by Uzgiris and Kornberg for the directed production of 2D crystals of monoclonal antibodies at an antigen-phospholipid monolayer interface. The tetanus toxin crystals were formed using a small mole fraction of the natural receptor, GT1, incorporated into phosphatidyl choline monolayers. The crystals formed at low concentration overnight. Two dimensional crystals of this type are particularly useful for structure determination using electron microscopy and computer image refinement. Three dimensional (3D) structural information can be derived from these crystals by computer reconstruction of photographs of toxin crystals taken at different tilt angles. Such 3D reconstructions may help elucidate the mechanism of entry of the enzymatic subunit of toxins into cells, particularly since these crystals form directly on a membrane interface at similar concentrations of ganglioside GT1 to the natural cellular receptors.

EMCAT: An automatic image-processing system for electron-microscopic tomography

1994 ◽  
Vol 52 ◽  
pp. 418-419
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Image Processing ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Processing System ◽  
Electron Microscopic ◽  
Data Set ◽  
Ordered Structures ◽  
Automatic Image Processing ◽  
Em Tomography

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

Pushing the Envelope

2018 ◽  
Author(s):  
Eaton E. Lattman ◽  
Thomas D. Grant ◽  
Edward H. Snell
Keyword(s):  
High Resolution ◽  
Electron Density ◽  
Structural Information ◽  
Hydration Shell ◽  
Three Dimensional ◽  
Scattering Data ◽  
Saxs Data ◽  
Electron Density Function ◽  
Angle Scattering ◽  
Iterative Structure

Direct electron density determination from SAXS data opens up new opportunities. The ability to model density at high resolution and the implicit direct estimation of solvent terms such as the hydration shell may enable high-resolution wide angle scattering data to be used to calculate density when combined with additional structural information. Other diffraction methods that do not measure three-dimensional intensities, such as fiber diffraction, may also be able to take advantage of iterative structure factor retrieval. While the ability to reconstruct electron density ab initio is a major breakthrough in the field of solution scattering, the potential of the technique has yet to be fully uncovered. Additional structural information from techniques such as crystallography, NMR, and electron microscopy and density modification procedures can now be integrated to perform advanced modeling of the electron density function at high resolution, pushing the boundaries of solution scattering further than ever before.

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