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electronic particle counting

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Journal Article
Published: 01 December 1978
Journal of Sedimentary Research (1978) 48 (4): 1213–1217.
...E. W. Behrens Abstract Mean grain sizes as determined by electronic particle counting have been reported as coarser than those determined by pipette analysis. This has been attributed to possible particle shape effects, possible coincidence error in particle counting, or an omission of some...
Journal Article
Published: 01 December 1976
Journal of Sedimentary Research (1976) 46 (4): 1017–1025.
...G. L. Shideler Abstract Electronic particle counting and pipette size-analysis techniques are compared for their relative effectiveness in large-scale routine mud analysis. Optimum laboratory procedures for conducting electronic analyses with a Model TA Coulter Counter are presented. Comparative...
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A–E: Ash classification scheme for particle counts (I–V); backscatter electron image of each particle type. Corresponding silica content and crystallinity of corresponding ash particle are shown. F: Additional classification created for low-crystallinity particles in August 2006 sample; black—vesicles, dark gray—feldspars, light gray—glass, white—mafic crystals.
Published: 01 July 2012
Figure 2. A–E: Ash classification scheme for particle counts (I–V); backscatter electron image of each particle type. Corresponding silica content and crystallinity of corresponding ash particle are shown. F: Additional classification created for low-crystallinity particles in August 2006 sample
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TEM-EDX determined elemental concentrations (expressed as oxide wt.%) vs count time (s) for a selected montmorillonite particle measured in TEM mode by area analysis. The decreasing concentrations of many elements with time indicate specimen damage and migration out of the electron beam. Measurement parameters were 100,000×, count input ~10,000 cps, deadtime 2–3% and a time constant of 4.
Published: 01 January 2024
Figure 4. TEM-EDX determined elemental concentrations (expressed as oxide wt.%) vs count time (s) for a selected montmorillonite particle measured in TEM mode by area analysis. The decreasing concentrations of many elements with time indicate specimen damage and migration out of the electron
Journal Article
Published: 01 September 1967
Journal of Sedimentary Research (1967) 37 (3): 749–759.
..., impractical with high concentrations, no means has so far been available for the rapid counting and sizing of fluorescent tracer particles. A recently developed Automatic Fuorescent Particle Counter (AFPC) allows automated high speed processing of sand samples, the simultaneous counting of several colors...
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Type 2 open floc-like particle aggregates. (A) Scanning electron photomicrograph of large open floc-like particle isolated from wetland core (Fig. 3J, horizon f). The poorly coalesced– cemented nature of particles that make up the large particle cause charging and flaring, as gold coating of the particle network is incomplete. Disintegration of particle aggregates under the SEM electron beam creates further uncoated surfaces. (B, C) Transmission electron photomicrographs illustrating typical morphology and ultrastructure of open floc-like particles. Particles comprise type 1 silica microspheres of ca. 10 nm diameter, have a disordered relatively open floc-like structure, exhibit a low degree of particle coalescence and poor structural stability. Light scattering techniques (data not illustrated) suggest that large type 2 particles readily broke down into smaller primary particle aggregates of ca. 200 nm diameter. (D) Electron probe X-ray microanalysis (EPXMA) spectra, providing qualitative trace element composition of silica particles from Porkchop wetland. cps, counts per second.
Published: 16 July 2004
aggregates of ca. 200 nm diameter. (D) Electron probe X-ray microanalysis (EPXMA) spectra, providing qualitative trace element composition of silica particles from Porkchop wetland. cps, counts per second.
Journal Article
Published: 01 October 2022
Geochemical Perspectives (2022) 11 (2): 169–172.
... the activity of the respiratory electron transport system (ETS), in particulate protein, in total bacterial counts and in suspended particles, as determined by light transmission. In addition to nitrogen, oxidised forms of some other polyvalent elements (such as iodine, manganese and iron) are also reduced...
Journal Article
Published: 01 January 2024
Clays and Clay Minerals (2024) 72: e25.
...Figure 4. TEM-EDX determined elemental concentrations (expressed as oxide wt.%) vs count time (s) for a selected montmorillonite particle measured in TEM mode by area analysis. The decreasing concentrations of many elements with time indicate specimen damage and migration out of the electron...
FIGURES | View All (13)
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The main result of the Grimsel Colloid Exercise interlaboratory comparison of the cumulative size distribution of colloidal particles recovered at the Grimsel Test Site. Laboratories that contributed to this exercise included: Atomic Energy of Canada, Limited (AECL); British Geological Survey (BGS); Commissariat de l'Energie Atomique (CEA); Paul Scherrer Institute (PSI); Harwell Laboratory Nuclear Physics Division (UKNP); and the University of Norway (UNOS). Techniques used to characterize colloids includes gravimetry (GRAV), scanning electron microscopy (SEM), single-particle counting (PC), and transmission electron microscopy (TEM). The cumulative contribution of different sized particles to the total colloid concentration in Grimsel groundwater (particles [pt] L−1) is indicated. The cumulative size distribution follows Pareto's power law: logCn = 15.8(±0.4) − 3.2(±0.2) log(d), where Cn is the cumulative particle concentration for sizes ranging from 25000 nm to d (Degueldre et al., 1989).
Published: 01 May 2004
Survey (BGS); Commissariat de l'Energie Atomique (CEA); Paul Scherrer Institute (PSI); Harwell Laboratory Nuclear Physics Division (UKNP); and the University of Norway (UNOS). Techniques used to characterize colloids includes gravimetry (GRAV), scanning electron microscopy (SEM), single-particle counting
Journal Article
Journal: Clay Minerals
Published: 01 April 2000
Clay Minerals (2000) 35 (2): 423–432.
... particle thicknesses. Samples with thicker particles could not be measured properly by HRTEM because the number of particles counted from images is statistically insufficient. The shape of the crystallite and the particle-size distribution were used to determine the mechanism of pyrophyllite particle...
FIGURES | View All (7)
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In the direct simulation Monte Carlo (DSMC) method, an energized particle starts from the source located at the origin of the Cartesian coordinate and drifts to a spherical shaped receiver of volume ΔV to count the number of the energized particles. Although the original DSMC used a torus shaped receiver with the average radius proportional to the epicentral distance (Δ), our study to simulate radiation pattern replaced the torus with hemisphere. Both receivers are located just beneath the free surface. The color version of this figure is available only in the electronic edition.
Published: 10 March 2015
Figure 1. In the direct simulation Monte Carlo ( DSMC ) method, an energized particle starts from the source located at the origin of the Cartesian coordinate and drifts to a spherical shaped receiver of volume Δ V to count the number of the energized particles. Although the original DSMC used
Journal Article
Journal: Clay Minerals
Published: 01 December 2000
Clay Minerals (2000) 35 (5): 781–789.
...P. UHLÍK; V. ŠUCHA; F. ELSASS; M. ČAPLOVIČOVÁ Abstract The results of a new technique for the measurement of the thickness distribution of fundamental particles are reported. The technique is based on high-resolution transmission electron microscopy (HRTEM) of Na-saturated mixed-layer illite...
FIGURES | View All (6)
Series: Geological Society, London, Special Publications
Published: 01 January 2017
EISBN: 9781786203106
... electron microscopy, X-ray diffraction analysis, laser particle size analysis and thin section point counts as evaluation tools. The sidewall cores typically contain >90% silt- and clay-sized particles with extremely low measured permeability as a result of highly reduced pore throat diameters...
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TEM images of chlorite (Chl2–3) in the soil profiles of the Aguablanca deposit. (a) Lattice-fringe image showing regular layers of chlorite; (b) intergrowth of chlorite and smectite; (c) layers of corrensite (10+14.2 Å) in chlorite; (d) vermiculitization of chlorite; (e) textural image showing profuse Cu particles within expanded domains in chlorite; (f) intergrowth of several Cu particles within a deformed smectite lamella; (g) an example of twinning in a Cu particle; (h) EDS spectrum of the regular domains of chlorite (top) and of a Cu particle (bottom); (i) convergent beam electron diffraction patterns from a Cu particle showing the [101], [110], [111] and [112] zone axis of metallic Cu.
Published: 01 March 2011
showing profuse Cu particles within expanded domains in chlorite; (f) intergrowth of several Cu particles within a deformed smectite lamella; (g) an example of twinning in a Cu particle; (h) EDS spectrum of the regular domains of chlorite (top) and of a Cu particle (bottom); (i) convergent beam electron
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TEM images of chlorite (Chl2–3) in the soil profiles of the Aguablanca deposit. (a) Lattice-fringe image showing regular layers of chlorite; (b) intergrowth of chlorite and smectite; (c) layers of corrensite (10+14.2 Å) in chlorite; (d) vermiculitization of chlorite; (e) textural image showing profuse Cu particles within expanded domains in chlorite; (f) intergrowth of several Cu particles within a deformed smectite lamella; (g) an example of twinning in a Cu particle; (h) EDS spectrum of the regular domains of chlorite (top) and of a Cu particle (bottom); (i) convergent beam electron diffraction patterns from a Cu particle showing the [101], [110], [111] and [112] zone axis of metallic Cu.
Published: 01 March 2011
showing profuse Cu particles within expanded domains in chlorite; (f) intergrowth of several Cu particles within a deformed smectite lamella; (g) an example of twinning in a Cu particle; (h) EDS spectrum of the regular domains of chlorite (top) and of a Cu particle (bottom); (i) convergent beam electron
Journal Article
Published: 01 January 2012
Reviews in Mineralogy and Geochemistry (2012) 74 (1): 101–146.
... electron microscope (SEM) allows analysis of the fine-grained, multi-phase particles of hydraulic cements and pozzolans, expanded our view into their mineralogical and textural characterization. Modeling the hydration process has developed to the point where selected properties of cement performance may...
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Journal Article
Published: 01 October 2002
Clays and Clay Minerals (2002) 50 (5): 562–577.
... . Samples were analyzed from 2 to 50°2 , with a step size of 0.02°2 , and a count time of 5 s per step. The tube current and voltage were 30 mA and 40 kV, respectively. BWA Analysis Crystal Size Distribution Fundamental Particles HRTEM Illite-smectite Lognormal Distribution MudMaster XRD...
FIGURES | View All (10)
Journal Article
Published: 01 December 1988
American Mineralogist (1988) 73 (11-12): 1457–1464.
...Lynda B. Williams; Ray E. Ferrell; Paul K. Carpenter Abstract A digital image-processing technique was modified to provide a more accurate modal analysis of sediments than the standard point-counting procedure. A digital backscattered-electron image covering an area that includes at least 300...
Journal Article
Published: 01 June 1962
Journal of Sedimentary Research (1962) 32 (2): 181–200.
... and concentration of heavy minerals. Analyses of differences in the means of the lengths of quartz grains indicate that the components of variance are heterogeneous and that each environment must be considered as a separate problem. At Stone Harbor, radioactive particle counts above background increase gradually...
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Plate of dissolution pores in and at the boundary of the particles of Paleogene Shahejie lower member 3 and upper member 4 shales in Dongying depression. The following sample number (Sn.) is in Table 1. (A) Dissolution pores in calcite particles (backscattered electron images [BSED]; Sn. 12). (B) Amplification of the white box in (A), dissolution pores in calcite particles (BSED; Sn. 12). (C) Dissolution pores in calcite (large field detector; Sn. 2). (D) Dissolution pores in feldspar (Fs; BSED; Sn. 4). (E) Dissolution pores in rutile (Ru) and Fs (BSED; Sn. 4). (F) Energy spectrogram of Ru in the photograph (Sn.4). (G) Dissolution pores in marl containing sulfate (Su; BSED; Sn. 17). (H) Amplification of the yellow box in (G), dissolution pores in marl containing Su (Sn. 17). (I) Energy spectrogram of clay+carbonate (Cc)+Su in marl containing Su in the photograph (Sn. 17). (J) Dissolution of quartz (Q) particles (BSED; Sn. 10). (K) Distribution of dissolution pores in pyrite (Pr) (BSED; Sn. 18). Cps = counts per second; eV = electron volt; keV = kiloelectron volt.
Published: 15 August 2019
) Dissolution of quartz (Q) particles (BSED; Sn. 10). (K) Distribution of dissolution pores in pyrite (Pr) (BSED; Sn. 18). Cps = counts per second; eV = electron volt; keV = kiloelectron volt.