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Data · dataset · 2023

Quantitative Analysis of Mesoporous Structures by Electron Tomography: A Phantom Study

Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/1437

Electron tomography (ET) has attracted significant attention for a quantitative analysis of mesoporous materials, especially for complex disordered pore structures, as no priori assumptions on the pore shape is needed, which is normally inevitable when using traditional bulk characterization techniques.

Description

However, a reliable quantification of such pore structure from ET highly depends on the fidelity of segmented reconstruction, which can be significantly affected, e.g. by the raw data quality, the limited tilting range, artifacts introduced during alignment and further depends the reconstruction algorithm.

Therefore, we systematically investigate the reconstruction reliability of three main-stream algorithms including simultaneous iterative reconstruction technique (SIRT), total variation minimization (TVM) and discrete algebraic reconstruction technique (DART) for mesoporous materials using different imperfect (realistic) tilt-series based on a set of phantom simulations. We found that DART outperforms the other two methods in reliably revealing small pores and narrow channels, especially when the number of projections is strongly constrained.

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The accurate segmented reconstruction from DART makes it possible to achieve reliable quantification of pores structure, which in turn leads to reliable evaluation of effective diffusion coefficients. We discuss the influence of different acquisition and reconstruction parameters on the reconstructed 3D volume and the quantitative analysis of pore features. We aim to provide a practical guideline for optimizing acquisition and reconstruction parameters and how to evaluate the accuracy when describing the mesoporous structure.

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Nanotechnology 71%
Provenance · 2 source records, 10 field assertions
SourceKeyLast seenRaw
RADAR10.35097/143713 d agoJSON v1
RADAR4Memory10.35097/143712 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].anzsrc:group:4018enrichment · radar service eu detaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].local:field:earth-environmentalmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[field].local:field:engineeringmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
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