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Letteratura scientifica selezionata sul tema "Phase quantification"

Autore: Grafiati

Pubblicato: 21 dicembre 2024

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Articoli di riviste sul tema "Phase quantification"

1

Döbelin, Nicola. "Validation of XRD phase quantification using semi-synthetic data". Powder Diffraction 35, n. 4 (13 ottobre 2020): 262–75. http://dx.doi.org/10.1017/s0885715620000573.

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Validating phase quantification procedures of powder X-ray diffraction (XRD) data for an implementation in an ISO/IEC 17025 accredited environment has been challenging due to a general lack of suitable certified reference materials. The preparation of highly pure and crystalline reference materials and mixtures thereof may exceed the costs for a profitable and justifiable implementation. This study presents a method for the validation of XRD phase quantifications based on semi-synthetic datasets that reduces the effort for a full method validation drastically. Datasets of nearly pure reference substances are stripped of impurity signals and rescaled to 100% crystallinity, thus eliminating the need for the preparation of ultra-pure and -crystalline materials. The processed datasets are then combined numerically while preserving all sample- and instrument-characteristic features of the peak profile, thereby creating multi-phase diffraction patterns of precisely known composition. The number of compositions and repetitions is only limited by computational power and storage capacity. These datasets can be used as input files for the phase quantification procedure, in which statistical validation parameters such as precision, accuracy, linearity, and limits of detection and quantification can be determined from a statistically sound number of datasets and compositions.

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2

Takehara, L., M. A. Z. Vasconcellos, R. Hinrichs, J. B. M. da Cunha e F. Chemale Jr. "Phase quantification in iron ore". Mineral Processing and Extractive Metallurgy 118, n. 3 (settembre 2009): 168–74. http://dx.doi.org/10.1179/174328509x431445.

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3

Hall, Caitrín, Ji Chul Kim e Alexandra Paxton. "Multidimensional recurrence quantification analysis of human-metronome phasing". PLOS ONE 18, n. 2 (23 febbraio 2023): e0279987. http://dx.doi.org/10.1371/journal.pone.0279987.

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Perception-action coordination (also known as sensorimotor synchronization, SMS) is often studied by analyzing motor coordination with auditory rhythms. The current study assesses phasing—a compositional technique in which two people tap the same rhythm at varying phases by adjusting tempi—to explore how SMS is impacted by individual and situational factors. After practice trials, participants engaged in the experimental phasing task with a metronome at tempi ranging from 80–140 beats per minute (bpm). Multidimensional recurrence quantification analysis (MdRQA) was used to compare nonlinear dynamics of phasing performance. Varying coupling patterns emerged and were significantly predicted by tempo and linguistic experience. Participants who successfully phased replicated findings from an original case study, demonstrating stable tapping patterns near in-phase and antiphase, while those unsuccessful at phasing showed weaker attraction to in-phase and antiphase.

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4

Harnett, L., M. Stennett, E. Maddrell e N. Hyatt. "Characterisation of glass ceramic wasteforms using quantitative image analysis of electron micrographs". MRS Advances 7, n. 5-6 (9 febbraio 2022): 86–89. http://dx.doi.org/10.1557/s43580-022-00227-0.

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Abstract Multi-phase material systems make up a significant proportion of the currently proposed and researched wasteforms for sequestration of heterogeneous nuclear material feeds. Quantification of the components for such multi-phase assemblages is typically performed using diffraction-based Rietveld methods, many of which necessitate long measurement times of several hours. Furthermore, careful additions of an internal standard are typically required, to facilitate inclusion of amorphous phases in the quantification. The application of an image analysis method has been investigated, using the z-contrast greyscale of back-scattered electron micrographs to determine the relative quantities of component phases in a suite of monolithic phosphate glass ceramic wasteforms. This work demonstrates an alternate methodology for accelerated quantification which could be applied to other heterogeneous wasteforms and multi-phase materials. Graphical abstract

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5

Ergin, F. Gökhan. "Accuracy Improvement Quantification Using Phase-Separated PIV Measurements". Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 21 (8 luglio 2024): 1–7. http://dx.doi.org/10.55037/lxlaser.21st.4.

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This paper aims to quantify the Particle Image Velocimetry (PIV) measurement accuracy improvement along the phase boundaries of two-phase flows, due to the use of phase-separated PIV analysis, compared to conventional PIV analysis without separating the phases. To compute the true error produced by PIV analysis, a patchwork of synthetic image pair with a known displacement is used (ground truth). As real flows might have arbitrary flow direction and magnitude across the phase boundary, the patchwork of image-pair includes a variety of direction combinations, i.e. flows running into each other or away from one another, shear flow, sink flow, flow towards a wall and flow away from a wall, flow running into a stagnant phase, flows with perpendicular directions, and flows that are 45° to each other. The relative error distribution along the boundaries reveals that the relative error level depends on the flow direction on each side of the boundary. Results also indicate that phase-separated PIV measurements can bring the relative error level from ~200% down to ~5% along the boundaries.

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6

Sheiati, Shohreh, Hoang Nguyen, Paivo Kinnunen e Navid Ranjbar. "Cementitious phase quantification using deep learning". Cement and Concrete Research 172 (ottobre 2023): 107231. http://dx.doi.org/10.1016/j.cemconres.2023.107231.

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7

Reddy, K. Chiranjeevi, e Kolluru V. L. Subramaniam. "Quantitative phase analysis of slag hydrating in an alkaline environment". Journal of Applied Crystallography 53, n. 2 (13 marzo 2020): 424–34. http://dx.doi.org/10.1107/s1600576720001399.

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An X-ray diffraction (XRD)-based evaluation of the crystalline and amorphous phases in slag hydrating in an alkaline environment is presented. A method is developed for the quantification of the amorphous phases present in hydrating slag in a sodium hydroxide solution. In hydrating slag, the amorphous reaction product is identified as calcium aluminosilicate hydrate. A water-soluble sodium-based amorphous reaction product is also produced. The XRD-based quantification method relies on the direct decomposition of the XRD intensity pattern of the total amorphous phase present in partially hydrated slag into the intensity patterns of the amorphous unreacted slag, the hydrate and the sodium-based product. The unreacted slag content in partially hydrated slag is also determined from the decomposition of the intensity signature of the total amorphous phase. An independent verification of the amorphous unreacted slag content in hydrating slag is obtained from measurements of blends of unhydrated and partially hydrated slag. The XRD-based phase-quantification procedure developed here provides a basis for evaluating the extent of reaction in hydrating slag.

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8

Hagni, Ann M. "Phase identification, phase quantification, and phase association determinations utilizing automated mineralogy technology". JOM 60, n. 4 (aprile 2008): 33–37. http://dx.doi.org/10.1007/s11837-008-0045-8.

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9

Wininger, Michael, Alex Krasner, Nam Hun Kim e William Craelius. "Phase plane quantification of single-joint smoothness". Journal of Biomedical Engineering and Informatics 4, n. 1 (15 maggio 2018): 40. http://dx.doi.org/10.5430/jbei.v4n1p40.

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We report a metric of single joint movement smoothness based on phase plane analysis of trajectories of the wrist about the elbow. Overall smoothness was quantified as the Phase Area Ratio (PAR), comparing the total area circumscribed by the acceleration-velocity (A-V) curve, to the area of its convex hull; PAR ranges from 0 (perfectly smooth) to 1 (gross motor impairment). Elbow flexion records obtained from a cohort study showed that PAR was significantly different in intact (PAR = 9.4x10-4 ± 6.6x10-4, group average, N = 18) versus chronic stroke patients (0.11 ± 0.15, N = 9; Wilcoxon rank-sum on group means: P < .0001). Separate simulations showed that PAR was appropriately insensitive to velocity asymmetry and to scale factors, e.g. range of motion, peak- and average velocity, and movement duration. We conclude that PAR is an attractive smoothness measure, as it accomplishes four objectives: 1) insensitivity to scale factors unrelated to trajectory shape, 2) discrimination of an intact versus impaired cohort, 3) reporting a near-zero impairment for healthy actors, responding appropriately to asymmetries commonly observed in human movement, and 4) operation on a fixed, closed scale.

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Ilbagi, A., H. Henein e A. B. Phillion. "Phase quantification of impulse atomized Al68.5Ni31.5 alloy". Journal of Materials Science 46, n. 19 (2 novembre 2010): 6235–42. http://dx.doi.org/10.1007/s10853-010-4972-8.

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Più fonti

Tesi sul tema "Phase quantification"

1

Butler, Jonny. "Phase structure, phrase structure, and quantification". Thesis, University of York, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415175.

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2

Gouverneur, Yves. "Phase de Berry et quantification de skyrmions". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0002/MQ33663.pdf.

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3

Beese, Allison M. "Quantification of phase transformation in stainless steel 301LN sheets". Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44870.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (p. 101-102).
This thesis investigates the large deformation behavior of stainless steel 301LN cold-rolled sheets which is largely governed by the initial anisotropy combined with the phase transformation during deformation. Stainless steel offers high strength with relatively high ductility as compared with other structural steels. The effect of initial anisotropy on the strength in different material directions is studied in order to predict forming and crash response of vehicle components. It is observed that loading in the material rolling direction results in increased strength in the cross direction, however loading in the material cross-rolling direction results in decreased strength in the rolling direction. The mechanism responsible for the above cross-hardening is complex and requires investigation of the microstructural evolution of the sheets. The austenitic stainless steel studied is comprised of only austenite when in bulk form. However, the process of cold-rolling the bulk material into sheets results in strain-induced martensitic phase transformation. Additional straining of the material leads to even more transformation of austenite to martensite. Because martensite is a harder phase than austenite, micromechanical arguments suggest that the amount of martensite has an effect on the plasticity and eventual fracture of this material. In this thesis, the martensitic evolution as a function of material direction and strain level is measured using three different techniques: X-ray diffraction, microscopy, and magnetic induction. The first two methods require interrupted tests, while using a Feritscope allows for in-situ measurement of the martensite content. However, the Feritscope must be calibrated by another measurement method.
(cont.) Observations of the measurements from each of the three methods confirm that the output of the Feritscope, Ferrite Number, is proportional to the martensite content. Therefore in-situ tests employing the Feritscope will allow for monitoring of the martensite content with evolution of stress and strain. From experiments described here, a directional dependence on martensite content is observed. The results from this study can be used to formulate an anisotropic martensite transformation kinetics law to describe the evolution of martensite content as a function of material anisotropy, stress state, and strain state.
by Allison M. Beese.
S.M.

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4

Chatzimavroudis, George P. "Quantification of valvular regurgitation with magnetic resonance phase velocity mapping". Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/11808.

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5

Wallin, Ashley Kay. "Renal Arterial Blood Flow Quantification by Breath-held Phase-velocity Encoded MRI". Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4982.

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Autosomal dominant polycystic disease (ADPKD) is the most common hereditary renal disease and is characterized by renal cyst growth and enlargement. Hypertension occurs early when renal function is normal and is characterized by decreased renal blood flow. Accordingly, the measurement of blood flow in the renal arteries can be a valuable tool in evaluating disease progression. In studies performed in conjunction with this work, blood flow was measured through the renal arteries using magnetic resonance imaging (MRI). In order to validate these in vivo measurements, a vascular phantom was created using polyvinyl alcohol (PVA) and also scanned using MRI under controlled steady flow conditions. Ranges of vessel diameters and flow velocities were used to simulate actual flow in a normal and diseased population of adults and children. With the vessel diameters studied in this experiment, minimization of field of view and an increase in spatial resolution is important in obtaining accurate data. However, a significant difference does not exist between the results when using the 160 or 200 mm FOV. An increase in the number of phase encodings provides improved results, although an increase in image acquisition time is observed. Velocity-encoding in all three orthogonal directions does not improve image data. This method of using MRI to measure flow through a vessel is shown to be both accurate and reproducible, and the protocol providing the most correct results is prescribed. Breath-hold phase-velocity encoded MRI proves to be an accurate and reproducible technique in capturing flow and has the potential to be used for the purpose of observing hemodynamic changes in the renal arteries with the progression of ADPKD.

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6

Engberg, Jonas. "Deep morphological quantification and clustering of brain cancer cells using phase-contrast imaging". Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454959.

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Glioblastoma Multiforme (GBM) is a very aggressive brain tumour. Previous studies have suggested that the morphological distribution of single GBM cells may hold information about the severity. This study aims to find if there is a potential for automated morphological qualification and clustering of GBM cells and what it shows. In this context, phase-contrast images from 10 different GBMcell cultures were analyzed. To test the hypothesis that morphological differences exist between the cell cultures, images of single GBM cells images were created from an image over the well using CellProfiler and Python. Singlecellimages were passed through multiple different feature extraction models to identify the model showing the most promise for this dataset. The features were then clustered and quantified to see if any differentiation exists between the cell cultures. The results suggest morphological feature differences exist between GBM cell cultures when using automated models. The siamese network managed to construct clusters of cells having very similar morphology. I conclude that the 10 cell cultures seem to have cells with morphological differences. This highlights the importance of future studies to find what these morphological differences imply for the patients' survivability and choice of treatment.

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7

Lin, Hung-Yu. "REAL-TIME FLOW QUANTIFICATION TECHNIQUES IN CARDIOVASCULAR MRI APPLICATIONS". The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238594589.

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8

Milet, Sylvain F. "Visualization and quantification of left heart blood flow by phase encoding magnetic resonance imaging". Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/16056.

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9

ROTEM, RANY. "Development of Reliable Experimental Models for the Study of the Biological Behavior of Drug Nanocarriers". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241245.

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The curative effectiveness of current and new drugs is often limited by poor pharmacokinetics in-vivo. The use of nanoparticles as drug carriers seems promising in solving this problem. In this work we aimed to further explore and improve common drug delivery components and techniques. Starting with the synthesis of nanoparticles with a controlled number of molecular recognition ligands, we used bulky ligands and gel separation to obtain nanoparticles with a discrete number of chemical functional groups, used later to conjugate the same number of molecular recognition ligands. These nanoparticles later showed substantial difference in the in-vivo behavior. A second project focused on the in-depth characterization of the relationship between hydrophobic inorganic nanoparticles and the polymer surfactants used to enable their water dispersibility, as well enabling their functionalization. This investigation was done through separate quantification of polymer and inorganic nanoparticles and assessment of stability. Our results showed that the removal of excess polymer from such systems can result in loss of colloidal stability. A third project was aimed to describe the mechanism of polymeric nanoparticle’s endosomal escape and provide a platform for qualitative investigation and enhancement of this process. This goal was accomplished through two complementary in-vitro experiments testing two proposed mechanisms of endosomal escape. These results raised a key consideration when matching a particle capable of endosomal escape to a specific cell type as well as methods reduce interaction with serum proteins. A fourth project focused on developing an assay to quantify cytosolic delivery of nanoparticles and theoretically assessed the possibility of using fluorescence resonance energy transfer (FRET) - which was found to be not practical in this case - as well as implementing a pro-fluorophore to generate a measurable signal. Our preliminary results indicate this method might indeed be useful for this purpose in the future.
The curative effectiveness of current and new drugs is often limited by poor pharmacokinetics in-vivo. The use of nanoparticles as drug carriers seems promising in solving this problem. In this work we aimed to further explore and improve common drug delivery components and techniques. Starting with the synthesis of nanoparticles with a controlled number of molecular recognition ligands, we used bulky ligands and gel separation to obtain nanoparticles with a discrete number of chemical functional groups, used later to conjugate the same number of molecular recognition ligands. These nanoparticles later showed substantial difference in the in-vivo behavior. A second project focused on the in-depth characterization of the relationship between hydrophobic inorganic nanoparticles and the polymer surfactants used to enable their water dispersibility, as well enabling their functionalization. This investigation was done through separate quantification of polymer and inorganic nanoparticles and assessment of stability. Our results showed that the removal of excess polymer from such systems can result in loss of colloidal stability. A third project was aimed to describe the mechanism of polymeric nanoparticle’s endosomal escape and provide a platform for qualitative investigation and enhancement of this process. This goal was accomplished through two complementary in-vitro experiments testing two proposed mechanisms of endosomal escape. These results raised a key consideration when matching a particle capable of endosomal escape to a specific cell type as well as methods reduce interaction with serum proteins. A fourth project focused on developing an assay to quantify cytosolic delivery of nanoparticles and theoretically assessed the possibility of using fluorescence resonance energy transfer (FRET) - which was found to be not practical in this case - as well as implementing a pro-fluorophore to generate a measurable signal. Our preliminary results indicate this method might indeed be useful for this purpose in the future.

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10

Deroche, Annabelle. "Optimisation de la limite de quantification d'une méthode chromatographique en phase gazeuse couplée à une détection par capture d'électrons : développement et application au dosage d'un antiandrogène dans le plasma humain". Paris 5, 1997. http://www.theses.fr/1997PA05P224.

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Libri sul tema "Phase quantification"

1

Khan, Zahid K. Phase I report: Ash quantification and characterization study. [Sacramento, CA] (1851 Heritage Lane, Sacramento, 95815): R.W. Beck and Associates, 1992.

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2

Currens, James C. Characterization and quantification of nonpoint source pollution in a conduit-flow dominated karst aquifer underlying an extensive use agricultural region--phase III: Final report. [Lexington, Ky.]: Kentucky Geological Survey, University of Kentucky, 1999.

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3

Gillespie, J. L. Installation Restoration Program: Phase II--confirmation/quantification stage 2 : final report for Wurtsmith Air Force Base, Michigan : hydrogeology near Wurtsmith Air Force Base, Michigan. Offut Air Force Base, Neb: USAF Environmental Quality Branch, Headquarters Strategic Air Command, 1991.

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4

Geological Survey (U.S.). Water Resources Division. e United States. Air Force. Environmental Quality Branch., a cura di. Installation Restoration Program: Phase II--confirmation/quantification stage 2 : final report for Wurtsmith Air Force Base, Michigan : hydrogeology near Wurtsmith Air Force Base, Michigan. Offut Air Force Base, Neb: USAF Environmental Quality Branch, Headquarters Strategic Air Command, 1991.

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5

Kadmon, Nirit. On unique and non-unique reference and asymmetric quantification. [Amherst, Mass: Dept of Linguistics, University of Massachusetts], 1987.

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6

Kadmon, Nirit. On unique and non-unique reference and asymmetric quantification. New York: Garland Pub., 1992.

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7

Rösler, Kai M., e Michel R. Magistris. The size of motor-evoked potentials: influencing parameters and quantification. A cura di Charles M. Epstein, Eric M. Wassermann e Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0009.

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This article discusses parameters influencing the size of motor-evoked potentials (MEPs) in normal and pathological conditions, and the methods of meaningful quantification of the MEPs. MEPs are widely used to study the physiology of corticospinal conduction in healthy subjects and in patients with diseases of the central nervous system. The characteristics of MEP size are, stimulus intensity, coil positioning, and facilitation. MEPs show variability in size and shape from one stimulus to the next, even if the stimulus parameters are kept constant. This article describes the triple stimulation technique (TST), which was developed to eliminate the effects of phase cancellation from the MEPs, to allow for a better quantification. Pathological conditions may modify the parameters discussed in the article and influence the size of the MEPs by lesions of motor neurons or of their axons, central conduction velocity slowing, or conduction block.

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Wendling, Fabrice, Marco Congendo e Fernando H. Lopes da Silva. EEG Analysis. A cura di Donald L. Schomer e Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.

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This chapter addresses the analysis and quantification of electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Topics include characteristics of these signals and practical issues such as sampling, filtering, and artifact rejection. Basic concepts of analysis in time and frequency domains are presented, with attention to non-stationary signals focusing on time-frequency signal decomposition, analytic signal and Hilbert transform, wavelet transform, matching pursuit, blind source separation and independent component analysis, canonical correlation analysis, and empirical model decomposition. The behavior of these methods in denoising EEG signals is illustrated. Concepts of functional and effective connectivity are developed with emphasis on methods to estimate causality and phase and time delays using linear and nonlinear methods. Attention is given to Granger causality and methods inspired by this concept. A concrete example is provided to show how information processing methods can be combined in the detection and classification of transient events in EEG/MEG signals.

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9

Pitt, Matthew. Motor unit anatomy and physiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0006.

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This chapter focuses on the signals recorded with needle electromyography (EMG) and the measurement of their specific parameters. These parameters include duration, amplitude, number of phases, and stability. The concept of the electrophysiologic biopsy and the explanation of unusual findings seen on EMG are introduced. In relation to the interference pattern, discussions of the firing rate, recruitment order, and interference pattern are given. Moving from the theoretical explanation of the findings, the problems of the accurate quantitative analysis of the motor unit potential are discussed and measures to improve quantification, particularly in children, are highlighted. The importance of filter settings, the storage of signals, and the different ways of collecting and analysing the potentials are all covered. This section finishes with discussion of the normative range for motor unit duration, and concludes with the automatic analysis of the interference pattern, including turns/amplitude analysis, number of short segments measurement, and envelope analysis.

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Capitoli di libri sul tema "Phase quantification"

1

Hayward-Lester, A., B. S. Chilton, P. A. Underhill, P. J. Oefner e P. A. Doris. "Quantification of Specific Nucleic Acids, Regulated RNA Processing, and Genomic Polymorphisms Using Reversed-Phase HPLC". In Gene Quantification, 45–78. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4164-5_4.

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2

Wei, Ya, Siming Liang e Weikang Kong. "Phase Quantification by Different Techniques". In Mechanical Properties of Cementitious Materials at Microscale, 91–144. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6883-9_4.

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Jung, Bernd, e Michael Markl. "Phase-Contrast MRI and Flow Quantification". In Magnetic Resonance Angiography, 51–64. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1686-0_3.

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4

Hamilton, Robert G. "Antigen Quantification: Measurement of Multivalent Antigens by Solid-Phase Immunoassay". In Immunochemistry of Solid-Phase Immunoassay, 139–50. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9780367812775-9.

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5

Seuntjens, J. M., F. Y. Clark, T. J. Headley, A. C. Kilgo e N. Y. C. Yang. "Quantification of Second Phase Morphology in SSCL VQP Samples". In Advances in Cryogenic Engineering Materials, 793–98. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9053-5_101.

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Brown, Andrew M., e Jennifer L. DeLessio. "Test-Analysis Modal Correlation of Rocket Engine Structures in Liquid Hydrogen – Phase II". In Model Validation and Uncertainty Quantification, Volume 3, 413–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47638-0_46.

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Platz, Roland, e Benedict Götz. "Non-probabilistic Uncertainty Evaluation in the Concept Phase for Airplane Landing Gear Design". In Model Validation and Uncertainty Quantification, Volume 3, 161–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54858-6_17.

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Li, Qi, Gaohui Wang, Aral Sarrafi, Zhu Mao e Wenbo Lu. "Feasibility of Applying Phase-Based Video Processing for Modal Identification of Concrete Gravity Dams". In Model Validation and Uncertainty Quantification, Volume 3, 137–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74793-4_18.

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Canul-Polanco, J. A., e O. M. Jensen. "Variation in Phase Quantification of White Portland Cement by XRD". In Concrete Durability and Service Life Planning, 8–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43332-1_2.

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Burhenne, Heike, e Volkhard Kaever. "Quantification of Cyclic Dinucleotides by Reversed-Phase LC-MS/MS". In Cyclic Nucleotide Signaling in Plants, 27–37. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-441-8_3.

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Atti di convegni sul tema "Phase quantification"

1

Sjödahl, Mikael, e Joel Wahl. "Bi-directional digital holographic imaging for the quantification of the scattering phase function of natural snow". In Digital Holography and Three-Dimensional Imaging, Tu5A.5. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.tu5a.5.

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Abstract (sommario):

A bi-directional digital holographic imaging system is presented that is designed to take images automatically out in the field. The main objective is to acquire sufficient information to be able to estimate the scattering phase function for different type of snowfall. The imaging system consists of a 3D-printed frame and two orthogonal telecentric imaging arms, one in the forward direction and one in the side scattering direction for which the reference arms are directed along different paths. All images are acquired using pulsed visible light.

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2

Judson, Robert, Miroslav Hejna, Aparna Jorapur, Jun S. Song e Yuntian Zhang. "Quantification of mammalian tumor cell state plasticity with digital holographic cytometry". In Quantitative Phase Imaging IV, a cura di Gabriel Popescu e YongKeun Park. SPIE, 2018. http://dx.doi.org/10.1117/12.2290462.

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3

Lee, Ariel J., Mahn Jae Lee, Hye-Jin Kim, WeiSun Park e YongKeun Park. "Label-free quantification of oxidative stress on HS68 cells using optical diffraction tomography". In Quantitative Phase Imaging VII, a cura di Gabriel Popescu, YongKeun Park e Yang Liu. SPIE, 2021. http://dx.doi.org/10.1117/12.2584888.

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4

Yoon, Jonghee, Su-a. Yang, Kyoohyun Kim e YongKeun Park. "Quantification of neurotoxic effects on individual neuron cells using optical diffraction tomography (Conference Presentation)". In Quantitative Phase Imaging II, a cura di Gabriel Popescu e YongKeun Park. SPIE, 2016. http://dx.doi.org/10.1117/12.2213780.

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5

Niu, Mengxuan, e Renjie Zhou. "Compact and simultaneous three-wavelength quantitative phase microscopy for hemoglobin concentration quantification in red blood cells". In Quantitative Phase Imaging VIII, a cura di Gabriel Popescu, YongKeun Park e Yang Liu. SPIE, 2022. http://dx.doi.org/10.1117/12.2610467.

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6

Cho, Hyewon, Nurbolat Aimakov, Inwoo Park, Myeonghoon Choi, Yerim Kim, Geosong Na, Sunghoon Lim e Woonggyu Jung. "Glomerulus quantification with deep learning based on novel multi-modal label-free quantitative phase imaging from a near-infrared (Conference Presentation)". In Quantitative Phase Imaging IX, a cura di YongKeun Park e Yang Liu. SPIE, 2023. http://dx.doi.org/10.1117/12.2651095.

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7

Bennetzen, Martin Vad, Theis Ivan Solling e Xiomara Marquez. "Towards Four Phase Autosegmentation and Microporosity Quantification". In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/171721-ms.

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8

Langley, J., e Qun Zhao. "Quantification of SPIO nanoparticles using phase gradient mapping". In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333758.

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9

Oates, William S., e Justin Collins. "Uncertainty quantification in quantum informed ferroelectric phase field modeling". In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, a cura di Nakhiah C. Goulbourne. SPIE, 2015. http://dx.doi.org/10.1117/12.2084413.

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10

Manapuram, Ravi Kiran, Venugopal Reddy Manne, Narendran Sudheendran, Esteban F. Carbajal e Kirill V. Larin. "Quantification of microbubbles in blood with phase-sensitive SSOCT". In BiOS, a cura di Valery V. Tuchin, Donald D. Duncan e Kirill V. Larin. SPIE, 2010. http://dx.doi.org/10.1117/12.842295.

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Rapporti di organizzazioni sul tema "Phase quantification"

1

Nadiga, Balasubramanya T., e Emilio Baglietto. Uncertainty Quantification of Multi-Phase Closures. Office of Scientific and Technical Information (OSTI), ottobre 2017. http://dx.doi.org/10.2172/1406195.

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2

Dibert, Ana, e Daniel Rehn. Yttrium solid phase equation of state with uncertainty quantification. Office of Scientific and Technical Information (OSTI), settembre 2024. http://dx.doi.org/10.2172/2440689.

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3

McQuerry, Meredith, e Reannan Riedy. Development of a Phase Change Material (PCM) Measurement Methodology for Fabric Surface Quantification. Ames (Iowa): Iowa State University. Library, gennaio 2019. http://dx.doi.org/10.31274/itaa.8293.

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4

Herman, Brook, Todd Swannack, Nathan Richards, Nancy Gleason e Safra Altman. Development of a General Anadromous Fish Habitat Model : phase 2 : initial model quantification. Engineer Research and Development Center (U.S.), settembre 2020. http://dx.doi.org/10.21079/11681/38249.

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5

WESTON (ROY F) INC WEST CHESTER PA. Installation Restoration Program, Phase II - Confirmation/Quantification Stage 1 for Travis Air Force Base, California. Fort Belvoir, VA: Defense Technical Information Center, aprile 1986. http://dx.doi.org/10.21236/ada168077.

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6

WESTON (ROY F) INC WEST CHESTER PA. Installation Restoration Program. Phase 2. Confirmation/Quantification. Stage 2. Volume 3. Luke Air Force Base, Arizona. Fort Belvoir, VA: Defense Technical Information Center, giugno 1988. http://dx.doi.org/10.21236/ada199228.

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7

WESTON (ROY F) INC WEST CHESTER PA. Installation Restoration Program. Phase 2. Confirmation/Quantification. Stage 2. Volume 4. Luke Air Force Base, Arizona. Fort Belvoir, VA: Defense Technical Information Center, giugno 1988. http://dx.doi.org/10.21236/ada199229.

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8

Brusseau, Mark L., Mart Oostrom e Mark White. Partitioning Tracers for In Situ Detection and Quantification of Dense Nonaqueous Phase Liquids in Groundwater Systems. Office of Scientific and Technical Information (OSTI), giugno 1999. http://dx.doi.org/10.2172/827261.

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9

Alexander, W. J., S. L. Winters e S. A. Guthrie. Installation Restoration Program. Phase 2. Confirmation/Quantification, Stage 2 for Seymour Johnson Air Force Base, North Carolina. Volume 1. Fort Belvoir, VA: Defense Technical Information Center, novembre 1988. http://dx.doi.org/10.21236/ada203412.

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10

Alexander, W. J., S. L. Winters e S. A. Guthrie. Installation Restoration Program. Phase 2. Confirmation/Quantification, Stage 2 for Seymour Johnson Air Force Base, North Carolina. Volume 2. Fort Belvoir, VA: Defense Technical Information Center, novembre 1988. http://dx.doi.org/10.21236/ada203413.

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