scholarly journals Particle Size Distributions from Electron Microscopy Images: Avoiding Pitfalls

2020 ◽  
Vol 124 (48) ◽  
pp. 10075-10081
Author(s):  
Ivo Alxneit
Keyword(s):  
Electron Microscopy ◽  
Particle Size ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Microscopy Images

scholarly journals Workflow towards automated segmentation of agglomerated, non-spherical particles from electron microscopy images using artificial neural networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bastian Rühle ◽  
Julian Frederic Krumrey ◽  
Vasile-Dan Hodoroaba
Keyword(s):  
Electron Microscopy ◽  
Neural Networks ◽  
Particle Size ◽  
Artificial Neural Networks ◽  
Generative Adversarial Networks ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Adversarial Networks ◽  
Artificial Neural ◽  
Microscopy Images

AbstractWe present a workflow for obtaining fully trained artificial neural networks that can perform automatic particle segmentations of agglomerated, non-spherical nanoparticles from scanning electron microscopy images “from scratch”, without the need for large training data sets of manually annotated images. The whole process only requires about 15 min of hands-on time by a user and can typically be finished within less than 12 h when training on a single graphics card (GPU). After training, SEM image analysis can be carried out by the artificial neural network within seconds. This is achieved by using unsupervised learning for most of the training dataset generation, making heavy use of generative adversarial networks and especially unpaired image-to-image translation via cycle-consistent adversarial networks. We compare the segmentation masks obtained with our suggested workflow qualitatively and quantitatively to state-of-the-art methods using various metrics. Finally, we used the segmentation masks for automatically extracting particle size distributions from the SEM images of TiO2 particles, which were in excellent agreement with particle size distributions obtained manually but could be obtained in a fraction of the time.

scholarly journals Particle size distributions by transmission electron microscopy: an interlaboratory comparison case study

Metrologia ◽  
2013 ◽  
Vol 50 (6) ◽  
pp. 663-678 ◽  
Author(s):  
Stephen B Rice ◽  
Christopher Chan ◽  
Scott C Brown ◽  
Peter Eschbach ◽  
Li Han ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Particle Size ◽  
Interlaboratory Comparison ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Transmission Electron

Agglomeration of High Calcium Fly Ash for Utilization II. Binding Mechanisms

1989 ◽  
Vol 178 ◽  
Author(s):  
Carol L. Kilgour ◽  
Kenneth L Bergeson ◽  
Scott Schlorholtz
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Particle Size ◽  
Power Plants ◽  
Layer Structure ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Fly Ashes ◽  
High Calcium ◽  
Scanning Electron

AbstractFly ashes from the Lansing and Ottumwa power plants in Iowa were agglomerated by means of a continuous pan agglomerator, a continuous auger and a batch turbine agglomerator. In order to compare agglomeration mechanisms the following parameters were determined: (a) particle size distributions of the untreated fly ashes; (b) particle size distributions of the agglomerated fly ashes; (c) pore size distribution of agglomerates; (d) crystalline hydration products by X-ray diffraction; and (e) morphological characterization by scanning electron microscopy.In the batch system coalescence mechanisms were favoured. The agglomerates were fairly irregular in shape and had a rough surface texture. As residence time in the system increased breakage of agglomerates occurred, reducing the average agglomerate size. In the continuous systems layering of the fine feed particles onto established agglomerates was the predominant growth mechanism. The agglomerates were smooth and spherical. The layer structure was observed by scanning electron microscopy. Agglomerates of widely varying size, strength, and pore matrix can be produced in both systems. It is envisaged that while agglomerates could be produced with characteristics essential for their proposed end use by either method, continuous pan agglomeration would be the most versatile system to utilize.

scholarly journals A Comparison between Chemical Synthesis Magnetite Nanoparticles and Biosynthesis Magnetite

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Seyed Abolghasem Kahani ◽  
Zahra Yagini
Keyword(s):  
Electron Microscopy ◽  
Particle Size ◽  
Magnetotactic Bacteria ◽  
Size Distributions ◽  
Vibrating Sample Magnetometry ◽  
Particle Size Distributions ◽  
Mechanism Of Formation ◽  
Chemical Methods ◽  
X Ray ◽  
Scanning Electron

The preparation of Fe3O4from ferrous salt by air in alkaline aqueous solution at various temperatures was proposed. The synthetic magnetites have different particle size distributions. We studied the properties of the magnetite prepared by chemical methods compared with magnetotactic bacterial nanoparticles. The results show that crystallite size, morphology, and particle size distribution of chemically prepared magnetite at 293 K are similar to biosynthesis of magnetite. The new preparation of Fe3O4helps to explain the mechanism of formation of magnetosomes in magnetotactic bacteria. The products are characterized by X-ray powder diffraction (XRD), infrared (IR) spectra, vibrating sample magnetometry (VSM), and scanning electron microscopy (SEM).

254. A Comparison of the Particle Size Distributions for Aerosols Generated During Wet Grinding and Dry Deburring of Beryllium

1999 ◽  
Author(s):  
K.K. Ellis ◽  
R. Buchan ◽  
M. Hoover ◽  
J. Martyny ◽  
B. Bucher-Bartleson ◽  
...  
Keyword(s):  
Particle Size ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Wet Grinding
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