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Journal articles on the topic 'Micro visualization'

To see the other types of publications on this topic, follow the link: Micro visualization.

Author: Grafiati

Published: 25 May 2024

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1

Bhatti, A., T. Ishii, and Y. Saijo. "A Micro-flow Phantom for Superficial Micro-vasculature Imaging." Journal of Physics: Conference Series 2071, no. 1 (October 1, 2021): 012054. http://dx.doi.org/10.1088/1742-6596/2071/1/012054.

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Abstract Visualization of cutaneous micro-vasculatures is a powerful approach assisting in the diagnosis of skin vascular disorders. These minute structures can be visualized by high-frequency ultrasound (HFUS) using ultrafast Doppler imaging. Ultrasound flow phantoms have been used as assessment tools to evaluate the performance of the ultrasound imaging system, however, to optimize the imaging system for visualization of micro-structures, flow phantom with micro-channels is required which are usually difficult to fabricate. Here, we design a simple approach for micro-flow phantom which is easy to fabricate and cast for detection of micro-circulation in superficial micro-structures. The proposed approach features (i) the micro-channels of 200-micron at the depth of 4 mm (ii) casted in the cryogel mixture of Poly-vinyl alcohol (PVA) and (iii) infused at flow speed of 30 mm/s using infusion pump. Visualization of micro-flow channel in power Doppler image obtained by HFUS ultrafast Doppler imaging reveals that the proposed micro-flow phantom could serve as a viable assessment tool for optimizing the system for in-vivo cutaneous micro-vasculature imaging.

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2

SUGII, Yasuhiko. "Recent Progress in Micro Visualization." Journal of the Visualization Society of Japan 23, no. 90 (2003): 125. http://dx.doi.org/10.3154/jvs.23.125.

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3

NAKANO, Shizuka, and Tomomi SHIRATORI. "Visualization Technology of Micro Piercing." Journal of the Japan Society for Technology of Plasticity 58, no. 681 (2017): 893–97. http://dx.doi.org/10.9773/sosei.58.893.

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4

Olšiak, Róbert, Branislav Knížat, and Marek Mlkvik. "Visualization of cavitating micro jets." EPJ Web of Conferences 25 (2012): 01062. http://dx.doi.org/10.1051/epjconf/20122501062.

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5

Černý, Michal, Josef Filípek, and Roman Požár. "Pitting process visualization." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 5 (2010): 57–66. http://dx.doi.org/10.11118/actaun201058050057.

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The paper describes time-domain simulation of gear pitting damage using animation program. Key frames have been used to create illusion of motion. The animation uses experimental results of high-cycle fatigue of material. The fatigue damage occurs in the nominal creep area on the side of the gear tooth sample loaded with variable-positioned Hertz pressure. By applying the force, the pressure cumulates between two convex surfaces. This phenomenon results in material damage under of curved surfaces in contact. Moreover, further damage has been registered on the surface. This is due to exceeding the elastic-plastic state limit and development of „tabs“. The tabs serve as origin of surface micro cracks powered by shear stress and enclosed grease pressure as well. This deformation and extreme pressures of Pascal law contribute to elongation and growth of the surface micro crack. Non-homogenous parts of material volume support the initialization/development of the micro cracks as well. Resulting visualization of the tooth-side fatigue damage provides clear and easy-to-understand description of the damage development process right from the micro crack initialization to the final fragmentation due to pitting degradation.

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6

Koktavá, Nikola, and Jiří Horák. "Options for micro-mobility data visualization." European Journal of Geography 14, no. 4 (November 17, 2023): 46–52. http://dx.doi.org/10.48088/ejg.n.kok.14.4.046.052.

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The growth in technology has led to the enhancement of open data sources and the development of user-friendly open-source visualization and analysis tools. The evolution of these tools has resulted in the expansion of various analytical and visualization techniques. This research concentrates on the visualization methods used in micro-mobility studies. It briefly defines micro-mobility, including the key factors that influence it. The motivation for writing this paper was to identify visualization methods that are suitable for representing a variety of micro-mobility data types. The aim of this paper is to briefly review a number of visualization methods that are widely used in micro-mobility research.

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7

Sugii, Y., and K. Okamoto. "Quantitative visualization of micro-tube flow using micro-PIV." Journal of Visualization 7, no. 1 (March 2004): 9–16. http://dx.doi.org/10.1007/bf03181480.

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8

Katsuki, Makoto, Soshu Kirihara, Hiroki Harada, and Kohei Yamase. "Process Visualization of Thermal Nanoparticle Spraying Using Micro Composite Fragments." QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY 35, no. 2 (2017): 1s—4s. http://dx.doi.org/10.2207/qjjws.35.1s.

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9

KAZOE, Yutaka, and Masahiro MOTOSUKE. "Visualization of micro and nano flows." Journal of the Visualization Society of Japan 33, no. 129 (2013): 1. http://dx.doi.org/10.3154/jvs.33.129_1.

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10

KAWAHASHI, Masaaki, and Yasuhiko SUGII. "Research Committee on Micro Flow Visualization." Journal of the Visualization Society of Japan 22, no. 2Supplement (2002): 74–77. http://dx.doi.org/10.3154/jvs.22.2supplement_74.

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11

YAMAMOTO, Takako, Hirofumi OHNARI, Takashi NAKAYAMA, Hiroto OHNARI, and Akira NAKATA. "Flow Visualization of Micro-nano Bubbles." Journal of the Visualization Society of Japan 23, Supplement2 (2003): 103–4. http://dx.doi.org/10.3154/jvs.23.supplement2_103.

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12

Seong, Jae-Yong. "Micro Interfacial Flows and Visualization Laboratory." Journal of the Korean Society of Visualization 8, no. 2 (June 30, 2010): 3–13. http://dx.doi.org/10.5407/jksv.2010.8.2.003.

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13

Mogi, Iwao, Masakazu Iwasaka, Ryoichi Aogaki, and Kohki Takahashi. "Communication—Visualization of Magnetohydrodynamic Micro-Vortices with Guanine Micro-Crystals." Journal of The Electrochemical Society 164, no. 9 (2017): H584—H586. http://dx.doi.org/10.1149/2.0711709jes.

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14

Huaroto, Juan J., Luigi Capuano, Mert Kaya, Ihar Hlukhau, Franck Assayag, Sumit Mohanty, Gert-willem Römer, and Sarthak Misra. "Two-photon microscopy for microrobotics: Visualization of micro-agents below fixed tissue." PLOS ONE 18, no. 8 (August 10, 2023): e0289725. http://dx.doi.org/10.1371/journal.pone.0289725.

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Optical microscopy is frequently used to visualize microrobotic agents (i.e., micro-agents) and physical surroundings with a relatively high spatio-temporal resolution. However, the limited penetration depth of optical microscopy techniques used in microrobotics (in the order of 100 μm) reduces the capability of visualizing micro-agents below biological tissue. Two-photon microscopy is a technique that exploits the principle of two-photon absorption, permitting live tissue imaging with sub-micron resolution and optical penetration depths (over 500 μm). The two-photon absorption principle has been widely applied to fabricate sub-millimeter scale components via direct laser writing (DLW). Yet, its use as an imaging tool for microrobotics remains unexplored in the state-of-the-art. This study introduces and reports on two-photon microscopy as an alternative technique for visualizing micro-agents below biological tissue. In order to validate two-photon image acquisition for microrobotics, two-type micro-agents are fabricated and employed: (1) electrospun fibers stained with an exogenous fluorophore and (2) bio-inspired structure printed with autofluorescent resin via DLW. The experiments are devised and conducted to obtain three-dimensional reconstructions of both micro-agents, perform a qualitative study of laser-tissue interaction, and visualize micro-agents along with tissue using second-harmonic generation. We experimentally demonstrate two-photon microscopy of micro-agents below formalin-fixed tissue with a maximum penetration depth of 800 μm and continuous imaging of magnetic electrospun fibers with one frame per second acquisition rate (in a field of view of 135 × 135 μm2). Our results show that two-photon microscopy can be an alternative imaging technique for microrobotics by enabling visualization of micro-agents under in vitro and ex ovo conditions. Furthermore, bridging the gap between two-photon microscopy and the microrobotics field has the potential to facilitate in vivo visualization of micro-agents.

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15

SUGII, Yasuhiko, Masa-aki ISHIKAWA, and Koji OKAMOTO. "Visualization of gas flow in micro-channel." Journal of the Visualization Society of Japan 25, Supplement1 (2005): 287–88. http://dx.doi.org/10.3154/jvs.25.supplement1_287.

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16

Xie, Haibo. "MICRO-PIV BASED MIRO FLOW VISUALIZATION TECHNOLOGY." Chinese Journal of Mechanical Engineering 41, no. 09 (2005): 106. http://dx.doi.org/10.3901/jme.2005.09.106.

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17

MIKAMI, Fumihiko, Norichika KOJIMA, and Nobuhide NISHIKAWA. "Microflow Visualization and Analysis with Micro-Streaklines." Proceedings of The Computational Mechanics Conference 2003.16 (2003): 195–96. http://dx.doi.org/10.1299/jsmecmd.2003.16.195.

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18

Batranin, Andrey, Denis Ivashkov, and Sergei Stuchebrov. "Performance Evaluation of Micro-CT Scanners as Visualization Systems." Advanced Materials Research 1084 (January 2015): 694–97. http://dx.doi.org/10.4028/www.scientific.net/amr.1084.694.

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High-resolution X-ray tomography, also known as micro-computed tomography (micro-CT) or microtomography, is a versatile evaluation technique, which extends application in various fields including material science. Micro-CT is a suitable method for quantitative and dimensional materials characterization. Needless to say, the accuracy of the method and applied equipments – micro-CT scanners – should be assessed to obtain reliable, solid results. In this paper, the performance of a micro-CT scanner as a visualization system is discussed. Quantitative parameters of image quality and visualization systems as well as methods to obtain their numerical values are briefly described. The results of experiments carried out on in-house made micro-CT scanner TOLMI-150-10 developed in Tomsk Polytechnic University are presented.

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19

Singhal, Anjali, James C. Grande, and Ying Zhou. "Micro/Nano-CT for Visualization of Internal Structures." Microscopy Today 21, no. 2 (March 2013): 16–22. http://dx.doi.org/10.1017/s1551929513000035.

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Computed tomography (CT) has been commonly used in medicine for assessing the anatomy of humans in conventional computer axial tomography (CAT) scans. It is also a very common tool for assessing the architecture of trabecular bones for diagnosis of conditions such as osteoporosis. More recently, high-resolution CT (micro-CT) has found increasing use in materials science for the evaluation of the internal structure of a variety of advanced materials for industrial applications. Knowledge of the micro-architecture of these materials is extremely important to better understand their performance. Micro-CT is a non-destructive 3D characterization tool that uses X rays to determine the internal structure of objects through imaging of different densities within the scanned object. High-resolution laboratory-based micro-CT or nano-CT provides image resolution on the order of 300 nm. Such high resolution allows one to visualize the internal 3D structure of fine-scale features. The data from micro-CT results in a virtual rendering of the object under investigation, which allows one to travel through the volume in any direction and angle, revealing complex hidden structures within the object. Thus, micro-CT can be an important complementary technique for a microscopy laboratory.

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20

KOJIMA, Norichika, Toru MIYOSHI, Fumihiko MIKAMI, and Nobuhide NISHIKAWA. "Visualization of Hele-Shaw flow around micro obstacles by using micro streaklines." Journal of the Visualization Society of Japan 24, Supplement1 (2004): 25–28. http://dx.doi.org/10.3154/jvs.24.supplement1_25.

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21

ISHIKAWA, Yasutaka, Atsushi SUZUKI, and Yasuhiko SUGII. "Visualization of micro flow in liquid/liquid optical waveguides micro fluidic device." Journal of the Visualization Society of Japan 27, Supplement1 (2007): 243–44. http://dx.doi.org/10.3154/jvs.27.supplement1_243.

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22

Chen, Juan, Hyun-Dong Kim, and Kyung-Chun Kim. "Quantitative Visualization of Oxygen Transfer in Micro-channel using Micro-LIF Technique." Journal of the Korean Society of Visualization 10, no. 1 (April 30, 2012): 34–39. http://dx.doi.org/10.5407/jksv.2011.10.1.034.

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23

ITAGAWA, Tsuyoshi, Satoshi SOMEYA, and Masahiro TAKEI. "20107 Manufacture of Micro Channel and Gas Flow Visualization in Micro Channel." Proceedings of Conference of Kanto Branch 2006.12 (2006): 35–36. http://dx.doi.org/10.1299/jsmekanto.2006.12.35.

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24

Zhu, Ning, Xiong Biao Chen, and Dean Chapman. "A Brief Review of Visualization Techniques for Nerve Tissue Engineering Applications." Journal of Biomimetics, Biomaterials and Tissue Engineering 7 (October 2010): 81–99. http://dx.doi.org/10.4028/www.scientific.net/jbbte.7.81.

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In nerve tissue engineering, scaffolds act as carriers for cells and biochemical factors and as constructs providing appropriate mechanical conditions. During nerve regeneration, new tissue grows into the scaffolds, which degrade gradually. To optimize this process, researchers must study and analyze various morphological and structural features of the scaffolds, the ingrowth of nerve tissue, and scaffold degradation. Therefore, visualization of the scaffolds as well as the generated nerve tissue is essential, yet challenging Visualization techniques currently used in nerve tissue engineering include electron microscopy, confocal laser scanning microscopy (CLSM), and micro-computed tomography (micro-CT or μCT). Synchrotron-based micro-CT (SRμCT) is an emerging and promising technique, drawing considerable recent attention. Here, we review typical applications of these visualization techniques in nerve tissue engineering. The promise, feasibility, and challenges of SRμCT as a visualization technique applied to nerve tissue engineering are also discussed.

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25

Maddukuri, Manideep, and Mrs Subhita. "A Micro Video Recommendation System Based on Big Data." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 4606–11. http://dx.doi.org/10.22214/ijraset.2022.43051.

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Abstract: With the development of the Internet and social networking service, the micro-video is becoming more popular, especially for youngers. However, for many users, they spend a lot of time to get their favorite micro-videos from amounts videos on the Internet; for the micro-video producers, they do not know what kinds of viewers like their products. Therefore, we proposes a micro-video recommendation system. The recommendation algorithms are the core of this system. Traditional recommendation algorithms include recommendation algorithms, and so on. At the Big Data times, the challenges what we meet are data scale, performance of computing, and other aspects. Thus, we improves the traditional recommendation algorithms, using the popular parallel computing framework to process the Big Data. Slope one recommendation algorithm is a parallel computing algorithm based on MapReduce and Hadoop framework which is a high performance parallel computing platform. The other aspect of this system is data visualization. Only an intuitive, accurate visualization interface, the viewers and producers can find what they need through the micro-video recommendation system. Keywords: micro-video; recommendation system; Slope one; data visualization

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26

KAWAHASHI, Masaaki. "Overview : Recent Topics on Micro Visualization in Japan." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 15–16. http://dx.doi.org/10.3154/jvs.22.1supplement_15.

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27

KIM, Kyung Chun. "Overview : Recent Topics on Micro Visualization in Korea." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 17–18. http://dx.doi.org/10.3154/jvs.22.1supplement_17.

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28

IZAWA, Masaki, Masahiko MURAYAMA, Fumihiko MIKAMI, and Nobuhide NISHIKAWA. "Micro Flow Visualization using Reconstructed Image of Holograms." Journal of the Visualization Society of Japan 26, Supplement1 (2006): 95–98. http://dx.doi.org/10.3154/jvs.26.supplement1_95.

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29

FUJINAMI, Masaru, Hiroyuki HIRAHARA, and Masaaki KAWAHASHI. "Visualization of the Laser Induced Micro Shock Wave." Journal of the Visualization Society of Japan 27, Supplement2 (2007): 101–2. http://dx.doi.org/10.3154/jvs.27.supplement2_101.

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30

IRIYAMA, Keiji, and Toshinari ARAKI. "Visualization of micro-structures of LB-Film Surface." Hyomen Kagaku 12, no. 5 (1991): 311–15. http://dx.doi.org/10.1380/jsssj.12.311.

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31

KIKURA, Hiroshige, Mitsuo MATSUZAKI, Masanori ARITOMI, Yuji KOBAYASHI, and Koichi NISHINO. "Micro Visualization and PTV Measurement of Ferromagnetic Particles." Proceedings of thermal engineering conference 2002 (2002): 139–40. http://dx.doi.org/10.1299/jsmeptec.2002.0_139.

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32

Naqvi, Ammar, Tiange Cui, and Andrey Grigoriev. "Visualization of nucleotide substitutions in the (micro)transcriptome." BMC Genomics 15, Suppl 4 (2014): S9. http://dx.doi.org/10.1186/1471-2164-15-s4-s9.

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33

Yamakawa, Hironobu, and Yoshihiro Nagaoka. "Visualization of electrically-driven flow in micro channels." Proceedings of the Fluids engineering conference 2000 (2000): 253. http://dx.doi.org/10.1299/jsmefed.2000.253.

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34

Huang, Chihyung, James W. Gregor, and John P. Sullivan. "A modified schlieren technique for micro flow visualization." Measurement Science and Technology 18, no. 5 (April 3, 2007): N32—N34. http://dx.doi.org/10.1088/0957-0233/18/5/n04.

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35

Fujiwara, Atsushi, Hiroshi Suzuki, Tomohisa Katsuda, and Yoshiyuki Komoda. "Visualization of liposome production in a micro-tube." Journal of Bioscience and Bioengineering 108 (November 2009): S22. http://dx.doi.org/10.1016/j.jbiosc.2009.08.101.

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36

Hannig, Christian, Marie Follo, Elmar Hellwig, and Ali Al-Ahmad. "Visualization of adherent micro-organisms using different techniques." Journal of Medical Microbiology 59, no. 1 (January 1, 2010): 1–7. http://dx.doi.org/10.1099/jmm.0.015420-0.

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The visualization and quantification of adherent bacteria is still one of the most relevant topics in microbiology. Besides electron microscopic techniques such as transmission electron microscopy, scanning electron microscopy and environmental scanning electron microscopy, modern fluorescence microscopic approaches based on fluorogenic dyes offer detailed insight into bacterial biofilms. The aim of the present review was to provide an overview of the advantages and disadvantages of different methods for visualization of adherent bacteria with a special focus on the experiences gained in dental research.

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37

Yang, Wen-Jei, and Shinzaburo Umeda. "FLOW VISUALIZATION IN X-SHAPED MICRO-INTERSECTING CHANNELS BY MEANS OF MICRO-PIV." Journal of Flow Visualization and Image Processing 16, no. 1 (2009): 73–83. http://dx.doi.org/10.1615/jflowvisimageproc.v16.i1.50.

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38

SHINOHARA, Kyosuke, Yasuhiko SUGII, Koji OKAMOTO, Akihide HIBARA, Manabu TOKESHI, and Takehiko KITAMORI. "Visualization Study on Chemical Reacting Flow in Micro Fluidic Device using Micro PIV and Micro LIF Techniques." Journal of the Visualization Society of Japan 23, Supplement1 (2003): 297–300. http://dx.doi.org/10.3154/jvs.23.supplement1_297.

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39

Satake, Shin-ichi. "Micro- and Nanoscale Imaging of Fluids in Water Using Refractive-Index-Matched Materials." Nanomaterials 12, no. 18 (September 15, 2022): 3203. http://dx.doi.org/10.3390/nano12183203.

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Three-dimensional (3D) visualization in water is a technique that, in addition to macroscale visualization, enables micro- and nanoscale visualization via a microfabrication technique, which is particularly important in the study of biological systems. This review paper introduces micro- and nanoscale 3D fluid visualization methods. First, we introduce a specific holographic fluid measurement method that can visualize three-dimensional fluid phenomena; we introduce the basic principles and survey both the initial and latest related research. We also present a method of combining this technique with refractive-index-matched materials. Second, we outline the TIRF method, which is a method for nanoscale fluid measurements, and introduce measurement examples in combination with imprinted materials. In particular, refractive-index-matched materials are unaffected by diffraction at the nanoscale, but the key is to create nanoscale shapes. The two visualization methods reviewed here can also be used for other fluid measurements; however, because these methods can used in combination with refractive-index-matched materials in water, they are expected to be applied to experimental measurements of biological systems.

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40

SATO, Katsunori, Hiroyuki HIRAHARA, Yoshitami Nonomura, and Masaaki KAWAHASHI. "Flow visualization around rotating blades of micro wind turbine." Journal of the Visualization Society of Japan 21, no. 1Supplement (2001): 177–78. http://dx.doi.org/10.3154/jvs.21.1supplement_177.

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41

KIKURA, Hiroshige, Mitsuo MATSUZAKI, Masanori ARITOMI, Kohichi NISHINO, Yuji Kobayashi, and Isao NAKATANI. "Micro-visualization and PTV analysis on ferromagnetic particles behavior." Journal of the Visualization Society of Japan 21, no. 1Supplement (2001): 267–68. http://dx.doi.org/10.3154/jvs.21.1supplement_267.

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42

Buegler, Max, Roald Tagle, Falk Reinhardt, Andrew Menzies, and Tina Hill. "Energy dispersive micro-XRF Bragg-pattern visualization – Laue Mapping." Microscopy and Microanalysis 27, S1 (July 30, 2021): 2208–9. http://dx.doi.org/10.1017/s1431927621007959.

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43

Yang, S. Y., S. C. Nian, and I. C. Sun. "Flow Visualization of Filling Process during Micro-Injection Molding." International Polymer Processing 17, no. 4 (December 2002): 354–60. http://dx.doi.org/10.3139/217.1706.

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44

Sagaradze, V. V., N. V. Kataeva, M. F. Klyukina, V. A. Zavalishin, K. A. Kozlov, V. V. Makarov, and V. A. Shabashov. "Visualization of Concentration Micro-Inhomogeneities in Fe–Ni Alloys." Physics of Metals and Metallography 119, no. 12 (December 2018): 1217–21. http://dx.doi.org/10.1134/s0031918x18120189.

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45

HORIUCHI, Kuniko, Hiromichi OBARA, and Yasuaki MATSUDAIRA. "Evaluation of Micro Mixer Performance with Multiple Visualization Technique." Proceedings of the Fluids engineering conference 2004 (2004): 44. http://dx.doi.org/10.1299/jsmefed.2004.44.

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46

NAKAO, Rui, Shouichiro IIO, Toshiharu KAGAWA, and Toshihiko IKEDA. "252 Visualization of internal flows in micro bubble generator." Proceedings of Yamanashi District Conference 2011 (2011): 40–41. http://dx.doi.org/10.1299/jsmeyamanashi.2011.40.

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47

Qu, Jian, and HuiYing Wu. "Flow visualization of silicon-based micro pulsating heat pipes." Science China Technological Sciences 53, no. 4 (March 20, 2010): 984–90. http://dx.doi.org/10.1007/s11431-009-0391-y.

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48

Schramm, Laurier L., and Jerry J. Novosad. "Micro-visualization of foam interactions with a crude oil." Colloids and Surfaces 46, no. 1 (January 1990): 21–43. http://dx.doi.org/10.1016/0166-6622(90)80046-7.

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49

KAWASAKI, Naoki, Takahiro KIWATA, Takaaki KONO, and Masato MATSUSHITA. "Flow Visualization and Performance of Micro-hydro Pelton Turbine." Proceedings of Conference of Hokuriku-Shinetsu Branch 2017.54 (2017): C022. http://dx.doi.org/10.1299/jsmehs.2017.54.c022.

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50

Jin, Byung-Ju, and Jung Yul Yoo. "Visualization of droplet merging in microchannels using micro-PIV." Experiments in Fluids 52, no. 1 (October 28, 2011): 235–45. http://dx.doi.org/10.1007/s00348-011-1221-0.

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