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Journal articles on the topic 'Single particle analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Brodin, A., T. Turiv, and V. Nazarenko. "Anomalous Diffusion: Single Particle Trajectory Analysis." Ukrainian Journal of Physics 59, no. 8 (2014): 775–80. http://dx.doi.org/10.15407/ujpe59.08.0775.

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2

Dannhauser, D., G. Romeo, F. Causa, I. De Santo, and P. A. Netti. "Multiplex single particle analysis in microfluidics." Analyst 139, no. 20 (2014): 5239–46. http://dx.doi.org/10.1039/c4an01033g.

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3

Duan, Guochen, Boqiang Shi, Yanhua Shen, and Guoqing Yu. "Establishment of a Laminated Crushed Products Function and Numerical Analysis." Energies 12, no. 5 (2019): 819. http://dx.doi.org/10.3390/en12050819.

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A model of the relative compression ratio for single-particle crushed products, based on the distinct element method (DEM) and numerical analysis, was established to describe precisely the crushed products of granular particles during laminated crushing. The relative compression ratio model was used to describe the functional relationship between the total compression ratio and the single-particle compression ratio, which can be described by lognormal distribution. The single-particle crushed products model was used to describe the functional relationship between the single-particle compressio

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4

Li, Ruidong, Xiang Gao, Shao-Heng He, Dongheng Ru, and Zhi Ding. "Fractal Analysis of Particle Size and Morphology in Single-Particle Breakage Based on 3D Images." Fractal and Fractional 8, no. 11 (2024): 614. http://dx.doi.org/10.3390/fractalfract8110614.

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The accurate modeling of single-particle breakage based on three-dimensional (3D) images is crucial for understanding the particle-level mechanics of granular materials. This study aims to propose a systematic framework incorporating single-particle breakage experiments and numerical simulations based on a novel 3D particle reconstruction technique for fractal analysis of particle size and morphology in single-particle breakage. First, the vision foundation model is used to generate accurate particles from 3D images. The numerical approach is validated by simulating the single-particle breakag

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5

McCrone, Walter C. "Particle Analysis." Microscopy Today 6, no. 5 (1998): 18–19. http://dx.doi.org/10.1017/s155192950006778x.

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If you can recognize a robin or a banana by sight, you should be able to recognize single particles of coal, cement or gypsum when the microscope magnifies them to an equivalent size. This is the thesis of those who identify small particles by microscopy. No other microanalytical method identifies such small samples of such diverse substances so quickly.Single particles of almost any substance - animal, vegetable, mineral, industrial byproduct, raw material, corrosion product, flyash - can be identified in a few seconds to a few minutes by a microscopist trained in particle identification. The

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Mio, K., T. Ogura, Y. Hara, Y. Mori, and C. Sato. "3P027 Single particle analysis of non-selective cationpermeable channel TRPC3." Seibutsu Butsuri 45, supplement (2005): S210. http://dx.doi.org/10.2142/biophys.45.s210_3.

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7

Huang, Yuanlong, Hong Chen, Lin Wang, Xin Yang, and Jianmin Chen. "Single particle analysis of amines in ambient aerosol in Shanghai." Environmental Chemistry 9, no. 3 (2012): 202. http://dx.doi.org/10.1071/en11145.

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Environmental contextAmines, a group of basic organic compounds, play important roles in atmospheric chemistry. We studied their distribution in ambient aerosols at the single particle level, and found that high relative humidity and strong particle acidity can attract more amines from the gas phase to particles. Amines may account for a significant part of organic mass in aerosols in areas with high emissions of sulfur dioxide and nitrogen oxides. AbstractAn aerosol time-of-flight mass spectrometer was deployed in urban Shanghai to analyse amine-containing particles during two separate sampli

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8

Wexler, Anthony, and Kimberly Prather. "Introduction: Online Single Particle Analysis." Aerosol Science and Technology 33, no. 1-2 (2000): 1–2. http://dx.doi.org/10.1080/027868200410804.

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9

Swietlicki, Erik, Göran Lövestam, and Uwe Wätjen. "Proton microprobe single particle analysis." Journal of Aerosol Science 21 (January 1990): S605—S608. http://dx.doi.org/10.1016/0021-8502(90)90315-o.

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10

Godinho, Jose R. A., Barbara L. D. Grilo, Friedrich Hellmuth, and Asim Siddique. "Mounted Single Particle Characterization for 3D Mineralogical Analysis—MSPaCMAn." Minerals 11, no. 9 (2021): 947. http://dx.doi.org/10.3390/min11090947.

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This paper demonstrates a new method to classify mineral phases in 3D images of particulate materials obtained by X-ray computed micro-tomography (CT), here named mounted single particle characterization for 3D mineralogical analysis (MSPaCMAn). The method allows minimizing the impact of imaging artefacts that make the classification of voxels inaccurate and thus hinder the use of CT to characterize natural particulate materials. MSPaCMAn consists of (1) sample preparation as particle dispersions; (2) image processing optimized towards the labelling of individual particles in the sample; (3) p

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11

Ao, Yong Cai, Yi Bing Shi, Wei Zhang, and Yan Jun Li. "Improved Particle Swarm Optimization Based on the Geometric Analysis of Single Particle." Applied Mechanics and Materials 543-547 (March 2014): 1832–39. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1832.

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To enhance the ability of the standard Particle Swarm Optimization (PSO) on solving the complex nonlinear problems, an improved algorithm with independent inertia weight for each particle was proposed in this paper. Firstly, a single particle of the particle swarm was studied. The law of the instantaneous movement of single particle at each iteration was analyzed in a novel geometric view. Two importance conclusions were drawn: 1) The introduction of the two random numbers makes the particle search in a broad parallelogram area, while the product of the inertia weight and the particles present

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12

McSweeney, Donal M., Sean M. McSweeney, and Qun Liu. "A self-supervised workflow for particle picking in cryo-EM." IUCrJ 7, no. 4 (2020): 719–27. http://dx.doi.org/10.1107/s2052252520007241.

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High-resolution single-particle cryo-EM data analysis relies on accurate particle picking. To facilitate the particle picking process, a self-supervised workflow has been developed. This includes an iterative strategy, which uses a 2D class average to improve training particles, and a progressively improved convolutional neural network for particle picking. To automate the selection of particles, a threshold is defined (%/Res) using the ratio of percentage class distribution and resolution as a cutoff. This workflow has been tested using six publicly available data sets with different particle

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13

Rice, William J., Huihui Kuang, and Bing Wang. "Tomographic Particle Picking using 2D Single Particle Analysis Tools." Microscopy and Microanalysis 29, Supplement_1 (2023): 1058–59. http://dx.doi.org/10.1093/micmic/ozad067.542.

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14

Turpin, Barbara J., Po-Fu Huang, Amy Roos, and Peter H. McMurry. "Elemental analysis of single atmospheric particles influencing visibility at the grand canyon." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 1124–25. http://dx.doi.org/10.1017/s0424820100151453.

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Collection and preservation strategies and a routine analysis procedure were developed for elemental analysis of individual atmospheric particles using a scanning-transmission electron microscope (STEM) equipped with a super ultra-thin window energy dispersive x-ray detector. These techniques were applied to airborne particles collected at Meadview, AZ, a remote site just downriver of the Grand Canyon. Collection, preservation and beam damage issues of concern in electron microscopic analysis of atmospheric particles will be discussed. Aerosol compositions are usually determined from bulk part

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15

Freutel, F., F. Drewnick, J. Schneider, T. Klimach, and S. Borrmann. "Quantitative single-particle analysis with the Aerodyne aerosol mass spectrometer: development of a new classification algorithm and its application to field data." Atmospheric Measurement Techniques 6, no. 11 (2013): 3131–45. http://dx.doi.org/10.5194/amt-6-3131-2013.

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Abstract. Single-particle mass spectrometry has proven a valuable tool for gaining information on the mixing state of aerosol particles. With the Aerodyne aerosol mass spectrometer (AMS) equipped with a light-scattering probe, non-refractory components of submicron particles with diameters larger than about 300 nm can even be quantified on a single-particle basis. Here, we present a new method for the analysis of AMS single-particle mass spectra. The developed algorithm classifies the particles according to their components (e.g. sulphate, nitrate, different types of organics) and simultaneous

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16

Freutel, F., F. Drewnick, J. Schneider, T. Klimach, and S. Borrmann. "Quantitative single particle analysis with the Aerodyne aerosol mass spectrometer: development of a new classification algorithm and its application to field data." Atmospheric Measurement Techniques Discussions 6, no. 3 (2013): 5653–91. http://dx.doi.org/10.5194/amtd-6-5653-2013.

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Abstract. Single particle mass spectrometry has proven a valuable tool for gaining information on the mixing state of aerosol particles. With the Aerodyne aerosol mass spectrometer (AMS) equipped with a light scattering probe, non-refractory components of submicron particles with diameters larger than about 300 nm can even be quantified on a single particle basis. Here, we present a new method for the analysis of AMS single particle mass spectra. The developed algorithm classifies the particles according to their components (e.g., sulphate, nitrate, different types of organics) and simultaneou

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17

YOKOYAMA, Ken, Atsuko NAKANISHI, Kaoru MITSUOKA, and Jun-ichi KISHIKAWA. "Single Particle Analysis of ATP Synthase." Seibutsu Butsuri 58, no. 5 (2018): 248–50. http://dx.doi.org/10.2142/biophys.58.248.

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18

MIO, Kazuhiro, Toshihiko OGURA, Yuusuke MARUYAMA, and Chikara SATO. "Single Particle Analysis of Membrane Proteins." Seibutsu Butsuri 49, no. 3 (2009): 143–46. http://dx.doi.org/10.2142/biophys.49.143.

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19

NARITA, Akihiro. "Single Particle Analysis for Filamentous Complexes." Seibutsu Butsuri 49, no. 6 (2009): 314–17. http://dx.doi.org/10.2142/biophys.49.314.

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20

Bates, Mark. "Single-particle analysis for fluorescence nanoscopy." Nature Methods 15, no. 10 (2018): 771–72. http://dx.doi.org/10.1038/s41592-018-0151-7.

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21

Iwasaki, Kenji. "Single-particle analysis and electron tomography." International Journal of Nanotechnology 3, no. 4 (2006): 480. http://dx.doi.org/10.1504/ijnt.2006.011174.

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22

Ning, Chao, Yalin Li, Ping Huang, Hongbo Shi, and Haichao Sun. "Numerical Analysis of Single-Particle Motion Using CFD-DEM in Varying-Curvature Elbows." Journal of Marine Science and Engineering 10, no. 1 (2022): 62. http://dx.doi.org/10.3390/jmse10010062.

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Centrifugal pumps are the critical components in deep-sea mining. In order to investigate the particle motion in the curved channel of the impeller, three different types of curvature conform to blade profile to simplify the impeller design of pumps. A numerical study is conducted to investigate the flow field in a varying-curvature channel for solid-liquid two-phase flow. The flow of particles within the varying curvature channel is studied by combining the discrete element method (DEM) with computational fluid dynamics (CFD) and a comparison with Particle Image Velocimetry (PIV) test results

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23

Ludtke, S. "Tutorial: Single Particle Analysis of Macromolecules and Complexes: How to Get Started." Microscopy and Microanalysis 6, S2 (2000): 1184–85. http://dx.doi.org/10.1017/s1431927600038411.

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Single particle processing is a technique for determining the 3D structure of molecules and macromolecular assemblies using TEM images of individual molecules. In principle, individual molecules float freely in solution before freezing/fixation, so particles in the micrographs represent 2D projections of individual molecules in random, or nearly random orientations. Practically speaking, surface effects often cause preferred orientations to exist in the particle population. In addition, single particle processing makes the assumption that all of the individual molecules are either in the same

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24

Schmidt, Susan, Johannes Schneider, Thomas Klimach, et al. "Online single particle analysis of ice particle residuals from mountain-top mixed-phase clouds using laboratory derived particle type assignment." Atmospheric Chemistry and Physics 17, no. 1 (2017): 575–94. http://dx.doi.org/10.5194/acp-17-575-2017.

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Abstract. In situ single particle analysis of ice particle residuals (IPRs) and out-of-cloud aerosol particles was conducted by means of laser ablation mass spectrometry during the intensive INUIT-JFJ/CLACE campaign at the high alpine research station Jungfraujoch (3580 m a.s.l.) in January–February 2013. During the 4-week campaign more than 70 000 out-of-cloud aerosol particles and 595 IPRs were analyzed covering a particle size diameter range from 100 nm to 3 µm. The IPRs were sampled during 273 h while the station was covered by mixed-phase clouds at ambient temperatures between −27 and −6

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25

Yusof, Siti Nurul Akmal, Abreeza Manap, Halina Misran, and Siti Zubaidah Othman. "Computational Analysis of Single and Multiple Impacts of Low Pressure and High Pressure Cold Sprayed Aluminum Particles Using SPH." Advanced Materials Research 974 (June 2014): 147–51. http://dx.doi.org/10.4028/www.scientific.net/amr.974.147.

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Cold spray (CS) is a unique spraying process where the spray materials are not melted in a spray gun. Instead, the particles are kinetically deposited on the substrate at low temperature using compressed gas. This study investigates the bonding mechanism of low pressure CS (LPCS) and high pressure CS (HPCS) techniques through smoothed particle hydrodynamics (SPH) simulations, which are achieved by modeling the single and multiple particle impacts of aluminum (Al) particles on Al substrate. The impact of Al particles on the Al substrate is analyzed by evaluating the velocity, shape, temperature

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26

Mader-Arndt, Katja, Zinaida Kutelova, Regina Fuchs, et al. "Single particle contact versus particle packing behavior: model based analysis of chemically modified glass particles." Granular Matter 16, no. 3 (2014): 359–75. http://dx.doi.org/10.1007/s10035-013-0478-9.

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27

Coutinho, Felipe, Joana Teixeira, Vicente Rocha, João Oliveira, Pedro A. S. Jorge, and Nuno A. Silva. "Autonomous Optical Tweezers: from automatic trapping to single particle analysis." Journal of Physics: Conference Series 2407, no. 1 (2022): 012025. http://dx.doi.org/10.1088/1742-6596/2407/1/012025.

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Abstract Optical trapping is a versatile and non-invasive technique for single particle manipulation. As such, it can be widely applied in the domains of particle identification and classification and thus used as a tool for monitoring physical and chemical processes. This creates an opportunity for integrating the method seamlessly into optofluidic chips, provided it can be automatized. Yet even though OT is well established in multiple scientific domains, a full stack approach to its integration into other technological devices is still lacking. This calls for solutions in tasks such as auto

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28

Inami, Nobuhito, Yasuo Takeichi, Tetsuro Ueno, et al. "Single crystal structure analysis of a single Sm2Fe17N3 particle." Journal of Applied Physics 115, no. 17 (2014): 17A712. http://dx.doi.org/10.1063/1.4862939.

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29

LONGFILS, M., M. RÖDING, A. ALTSKÄR, et al. "Single particle raster image analysis of diffusion for particle mixtures." Journal of Microscopy 269, no. 3 (2017): 269–81. http://dx.doi.org/10.1111/jmi.12625.

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30

Reina, Francesco, John M. A. Wigg, Mariia Dmitrieva, Joël Lefebvre, Jens Rittscher, and Christian Eggeling. "TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data." F1000Research 10 (August 20, 2021): 838. http://dx.doi.org/10.12688/f1000research.54788.1.

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Single particle tracking (SPT) is one of the most widely used tools in optical microscopy to evaluate particle mobility in a variety of situations, including cellular and model membrane dynamics. Recent technological developments, such as Interferometric Scattering microscopy, have allowed recording of long, uninterrupted single particle trajectories at kilohertz framerates. The resulting data, where particles are continuously detected and do not displace much between observations, thereby do not require complex linking algorithms. Moreover, while these measurements offer more details into the

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31

Reina, Francesco, John M. A. Wigg, Mariia Dmitrieva, et al. "TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data." F1000Research 10 (January 31, 2022): 838. http://dx.doi.org/10.12688/f1000research.54788.2.

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Single particle tracking (SPT) is one of the most widely used tools in optical microscopy to evaluate particle mobility in a variety of situations, including cellular and model membrane dynamics. Recent technological developments, such as Interferometric Scattering microscopy, have allowed recording of long, uninterrupted single particle trajectories at kilohertz framerates. The resulting data, where particles are continuously detected and do not displace much between observations, thereby do not require complex linking algorithms. Moreover, while these measurements offer more details into the

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32

KIRCHNER, U., and R. VOGT. "SINGLE PARTICLE MS ANALYSIS OF SOOT PARTICLES DURING THE AIDA CAMPAIGN." Journal of Aerosol Science 32 (September 2001): 695–96. http://dx.doi.org/10.1016/s0021-8502(21)00314-1.

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33

Méndez, Jeison, Edgar Garduño, José María Carazo, and Carlos Oscar S. Sorzano. "Identification of incorrectly oriented particles in cryo-EM single particle analysis." Journal of Structural Biology 213, no. 3 (2021): 107771. http://dx.doi.org/10.1016/j.jsb.2021.107771.

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34

LI, Lei, Guo-Bin TAN, Li ZHANG, et al. "Analysis of Diesel Exhaust Particles Using Single Particle Aerosol Mass Spectrometry." CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION) 41, no. 12 (2013): 1831. http://dx.doi.org/10.3724/sp.j.1096.2013.30545.

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35

Song, Minghua, and Yunxin Zhang. "Mean-field analysis of two-species totally asymmetric simple exclusion process (TASEP) with attachment and detachment." Canadian Journal of Physics 95, no. 4 (2017): 370–80. http://dx.doi.org/10.1139/cjp-2016-0644.

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In the field of statistical physics, unidirectional motion of a large number of particles along a single track can be described by totally asymmetric simple exclusion process (TASEP), from which many meaningful properties, such as the appearance of domain wall (defined as the borderline of high particle density and low particle density along the motion track) and boundary layers, can be obtained. However, it is biologically general that a single track may be occupied by different particle species. For example, in cells each microtubule protofilament is usually occupied by different species of

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36

Wang, Yidong, Wenjiao Dan, Yongfu Xu, and Yue Xi. "Fractal and Morphological Characteristics of Single Marble Particle Crushing in Uniaxial Compression Tests." Advances in Materials Science and Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/537692.

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Crushing of rock particles is a phenomenon commonly encountered in geotechnical engineering practice. It is however difficult to study the crushing of rock particles using classical theory because the physical structure of the particles is complex and irregular. This paper aims at evaluating fractal and morphological characteristics of single rock particle. A large number of particle crushing tests are conducted on single rock particle. The force-displacement curves and the particle size distributions (PSD) of crushed particles are analysed based on particle crushing tests. Particle shape play

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37

Yu, X. Y., J. P. Cowin, M. J. Iedema, and H. Ali. "Fast time-resolved aerosol collector: proof of concept." Atmospheric Measurement Techniques Discussions 3, no. 3 (2010): 2515–34. http://dx.doi.org/10.5194/amtd-3-2515-2010.

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Abstract. Atmospheric particles can be collected in the field on substrates for subsequent laboratory analysis via chemically sensitive single particle methods such as scanning electron microscopy with energy dispersive x-ray analysis. With moving substrates time resolution of seconds to minutes can be achieved. In this paper, we demonstrate how to increase the time resolution when collecting particles on a substrate to a few milliseconds to provide real-time information. Our fast time-resolved aerosol collector ("Fast-TRAC") microscopically observes the particle collection on a substrate and

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38

Yu, X. Y., J. P. Cowin, M. J. Iedema, and H. Ali. "Fast time-resolved aerosol collector: proof of concept." Atmospheric Measurement Techniques 3, no. 5 (2010): 1377–84. http://dx.doi.org/10.5194/amt-3-1377-2010.

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Abstract. Atmospheric particles can be collected in the field on substrates for subsequent laboratory analysis via chemically sensitive single particle methods such as scanning electron microscopy with energy dispersive x-ray analysis. With moving substrates time resolution of seconds to minutes can be achieved. In this paper, we demonstrate how to increase the time resolution when collecting particles on a substrate to a few milliseconds to provide real-time information. Our fast time-resolved aerosol collector ("Fast-TRAC") microscopically observes the particle collection on a substrate and

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39

Osman, Matthew, Maria A. Zawadowicz, Sarah B. Das, and Daniel J. Cziczo. "Real-time analysis of insoluble particles in glacial ice using single-particle mass spectrometry." Atmospheric Measurement Techniques 10, no. 11 (2017): 4459–77. http://dx.doi.org/10.5194/amt-10-4459-2017.

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Abstract. Insoluble aerosol particles trapped in glacial ice provide insight into past climates, but analysis requires information on climatically relevant particle properties, such as size, abundance, and internal mixing. We present a new analytical method using a time-of-flight single-particle mass spectrometer (SPMS) to determine the composition and size of insoluble particles in glacial ice over an aerodynamic size range of ∼ 0.2–3.0 µm diameter. Using samples from two Greenland ice cores, we developed a procedure to nebulize insoluble particles suspended in melted ice, evaporate condensed

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40

Dosho, Daiki, Shinji Matsumoto, Hayate Mukofukasawa, Takao Kunimi, Yoshikazu Kobayashi, and Shiro Seki. "Precise Electrochemical Analysis of Carbon-Based Negative Electrode." ECS Meeting Abstracts MA2024-02, no. 7 (2024): 939. https://doi.org/10.1149/ma2024-027939mtgabs.

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Lithium-ion batteries (LIBs) are required to have high energy density, high power density, and long life properties. The development of materials for active materials, which are directly involved in the redox reaction of electrodes, is important for improving the performance of storage batteries. Therefore, precise electrochemical properties of active materials should be understood. However, applied electrodes used for general performance evaluation of storage batteries are mainly composed of active material, conductivity additive, and binder, and it is difficult to evaluate only electrochemic

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41

Hill, Kevin J., Michelle L. Pantoya, Ephraim Washburn, and Joseph Kalman. "Single Particle Combustion of Pre-Stressed Aluminum." Materials 12, no. 11 (2019): 1737. http://dx.doi.org/10.3390/ma12111737.

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An approach for optimizing fuel particle reactivity involves the metallurgical process of pre-stressing. This study examined the effects of pre-stressing on aluminum (Al) particle ignition delay and burn times upon thermal ignition by laser heating. Pre-stressing was by annealing Al powder at 573 K and quenching ranged from slow (i.e., 200 K/min) identified as pre-stressed (PS) Al to fast (i.e., 900 K/min) identified as super quenched (SQ) Al. Synchrotron X-ray Diffraction (XRD) analysis quantified an order of magnitude which increased dilatational strain that resulted from PS Al and SQ Al com

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42

Cross, E. S., T. B. Onasch, M. Canagaratna, et al. "Single particle characterization using a light scattering module coupled to a time-of-flight aerosol mass spectrometer." Atmospheric Chemistry and Physics Discussions 8, no. 6 (2008): 21313–81. http://dx.doi.org/10.5194/acpd-8-21313-2008.

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Abstract. We present the first single particle results obtained using an Aerodyne time-of-flight aerosol mass spectrometer coupled with a light scattering module (LS-ToF-AMS). The instrument was deployed at the T1 ground site approximately 40 km northeast of the Mexico City Metropolitan Area (MCMA) as part of the MILAGRO field study in March of 2006. The instrument was operated as a standard AMS from 12–30 March, acquiring average chemical composition and size distributions for the ambient aerosol, and in single particle mode from 27–30 March. Over a 75-h sampling period, 12 853 single particl

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43

Zhang, Junke, Bin Luo, Jianqiang Zhang, et al. "Analysis of the characteristics of single atmospheric particles in Chengdu using single particle mass spectrometry." Atmospheric Environment 157 (May 2017): 91–100. http://dx.doi.org/10.1016/j.atmosenv.2017.03.012.

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44

Pei, Xudong, Liqi Zhou, Judy Kim, et al. "Ptychographic Single Particle Analysis for Biological Science." Microscopy and Microanalysis 27, S1 (2021): 190–92. http://dx.doi.org/10.1017/s143192762100129x.

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45

Elmlund, Dominika, and Hans Elmlund. "Cryogenic Electron Microscopy and Single-Particle Analysis." Annual Review of Biochemistry 84, no. 1 (2015): 499–517. http://dx.doi.org/10.1146/annurev-biochem-060614-034226.

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46

LONGFILS, M., E. SCHUSTER, N. LORÉN, A. SÄRKKÄ, and M. RUDEMO. "Single particle raster image analysis of diffusion." Journal of Microscopy 266, no. 1 (2016): 3–14. http://dx.doi.org/10.1111/jmi.12511.

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47

Konings, Stan, Maarten Kuijper, Jeroen Keizer, Fanis Grollios, Tjerk Spanjer, and Peter Tiemeijer. "Advances in Single Particle Analysis Data Acquisition." Microscopy and Microanalysis 25, S2 (2019): 1012–13. http://dx.doi.org/10.1017/s1431927619005798.

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48

Kern, M., O. Buser, J. Peinke, M. Siefert, and L. Vulliet. "Stochastic analysis of single particle segregational dynamics." Physics Letters A 336, no. 4-5 (2005): 428–33. http://dx.doi.org/10.1016/j.physleta.2005.01.019.

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49

Attaelmanan, AG. "Single particle analysis using microbeam X-rays." Microscopy and Microanalysis 14, S2 (2008): 1268–69. http://dx.doi.org/10.1017/s1431927608086601.

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James, Regis A., and Steven J. Ludtke. "Determining Orientation in Cryoem Single Particle Analysis." Biophysical Journal 98, no. 3 (2010): 385a. http://dx.doi.org/10.1016/j.bpj.2009.12.2072.

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