nano3DX

nano3DX
X-ray microscope for high resolution - imaging X-ray microscope for high resolution - imaging X-ray microscope for high resolution - imaging X-ray microscope for high resolution - imaging X-ray microscope for high resolution - imaging X-ray microscope for high resolution - imaging
Características
  • True submicron resolution by parallel beam geometry coupled with an ultra-thin scintillator and optical lens magnification
  • High-contrast for low-density materials by selectable characteristic radiations (Cr 5.4 keV, Cu 8 keV, Mo 17 keV) additional to bremsstrahlung radiation from W target
  • Easy radiation selection by the dual-wavelength X-ray source
  • Fast scans by the MicroMax-007 high-power (1200 W) rotating anode X-ray source and sCMOS detector

 

An Insight to the nano3DX - X-Ray Microscope

Microscopio de rayos X

Microtomografía de muestras grandes a alta resolución

Aprende más  
Features | Specifications | Video | Applications | Events | Webinars | Publications
 
X-ray CT, Computed tomography, X-ray Imaging
Academic research, Polymers, plastics & rubber, Pharmaceuticals, Materials science, Mining & refining, Petroleum & petrochemicals, Photovoltaic manufacturing, Chemistry, Cosmetics, Coatings, Education, Food & food ingredients, Forensics & conservation
Computed tomography, Microtomography
Non-destructive testing, Computed tomography, Particle size and shape, Polymers and fibers, Pore size distribution, Semiconductor metrology, Batteries
Rigaku nano3DX es un microscopio de rayos X (XRM) verdadero, con la capacidad de entregar imágenes 3D de tomografía computarizada (CT) de muestras relativamente grandes a alta resolución. Esto se logra utilizando una fuente de rayos X de ánodo giratorio de alta potencia y un detector CCD de alta resolución. El ánodo giratorio proporciona una rápida adquisición de datos y la capacidad de cambiar fácilmente los materiales del ánodo para optimizar el contraste para tipos de muestra específicos.

¿Qué es la microscopía de rayos X?

La tomografía (imagen de rayos X) es el estudio de la estructura tridimensional de un objeto dividiéndolo en secciones delgadas. La microtomografía implica que las secciones son muy delgadas; lo suficientemente delgadas para ser vistas por un microscopio óptico. La tomografía clásica es un proceso tedioso y lento, y también puede provocar perturbaciones significativas en la muestra. En la tomografía de rayos X, se toma una imagen de la muestra completa en múltiples ángulos de rotación. Esta multitud de imágenes es procesada por sofisticados algoritmos informáticos para proporcionar una reconstrucción tridimensional que puede dividirse en cualquier dirección, proporcionando nuevas ideas sobre las características internas del objeto. La microscopía de rayos X proporciona esta visualización con una resolución mejor que un micrómetro (μm).

Microscopio de rayos X de alta resolución y alto contraste

El nuevo nano3DX le permite ver muchos tipos de muestras, incluyendo aquellas que tienen un bajo contraste de absorción, por ejemplo CFRP, o materiales más densos como los compuestos cerámicos. El nano3DX le permite lograr esto al proporcionar la capacidad de cambiar la longitud de onda de los rayos X para mejorar el contraste o la penetración.

Especificaciones
Nombre del producto nano3DX
Ventajas True submicron high-contrast X-ray computed tomography
Tecnología X-ray computed tomography
Generador de rayos X MicroMax-007 HF rotating anode X-ray generator
Voltaje del tubo 20 a 60 kV
Corriente del tubo hasta 30 mA
Objetivo Cr, Cu, Mo y
Detector sCMOS
Campo de visión Maximum 10 mm
Resolution Maximum 325 nm

nano3DX videos

Applications

The following applications are relevant to this product
CT observation of a laminated battery cell by X-ray microscopy

Application Bytes

Ant tibia 1

Ant tibia 2

Ant tibia 3

Detergent particle

Foam 1

Mold/composite

Learn more about our products at these events

Booth number Date Location Event website
Ceramics Expo 2021 - Cleveland, OH Website

Webinars - X-ray Computed Tomography for Materials Science

X-ray CT Publications

Our first CT project

Morio ONOE, Jing Wen TSAO and Hiroaki YAMADA, Hiroshi NAKAMURA, Jin KOGURE and Hiromi KAWAMURA, M. Y. (1984). COMPUTED TOMOGRAPHY FOR MEASURING THE ANNUAL RINGS OF A LIVE TREE. Nuclear Instruments and Methods in Physics Research, 221, 213-220. https://www.sciencedirect.com/science/article/pii/0167508784902023 

  1. Carolina Oliver-Urrutia, Raúl Rosales Ibañez, Miriam V. Flores-Merino, Lucy Vojtova, Jakub Salplachta, Ladislav Čelko, Jozef Kaiser, and Edgar B. Montufar (2021). Lyophilized Polyvinylpyrrolidone Hydrogel for Culture of Human Oral Mucosa Stem Cells. Materials 14, 227. https://www.mdpi.com/1996-1944/14/1/227/htm
  2. Tomáš Sedlačík, Takayuki Nonoyama, Honglei Guo, Ryuji Kiyama, Tasuku Nakajima, Yoshihiro Takeda, Takayuki Kurokawa, and Jian Ping Gong (2020). Preparation of Tough Double- and Triple-Network Supermacroporous Hydrogels through Repeated Cryogelation. Chem. Mater. Published online18 September 2020. https://pubs.acs.org/doi/abs/10.1021/acs.chemmater.0c02911
  3. Nanako Sakata, Yoshihiro Takeda, Masaru Kotera, Yasuhito Suzuki, and Akikazu Matsumoto. (2020). Interfacial Structure Control and Three-Dimensional X-ray Imaging of an Epoxy Monolith Bonding System with Surface Modification. Langmuir, 36, 37, 10923–10932. https://pubs.acs.org/doi/10.1021/acs.langmuir.0c01481
  4. Kenji Ohta , Tatsuya Wakamatsu, Manabu Kodama , Katsuyuki Kawamura, and Shuichiro Hirai. Laboratory-based x-ray computed tomography for 3D imaging of samples in a diamond anvil cell in situ at high pressures. Rev. Sci. 91, 091101. https://aip.scitation.org/doi/pdf/10.1063/5.0014486
  5. Fukami, T., Koide, T., Hisada, H., Inoue, M., Yamamoto, Y., Suzuki, T., & Tomono, K. (2016). Pharmaceutical evaluation of atorvastatin calcium tablets available on the Internet: A preliminary investigation of substandard medicines in Japan. Journal of Drug Delivery Science and Technology, 31, 35-40. https://doi.org/10.1016/j.jddst.2015.11.006 
  6. Kalasova, D., Zikmund, T., Pina, L., Takeda, Y., Horvath, M., Omote, K., & Kaiser, J. (2019). Characterization of a laboratory-based X-ray computed nanotomography system for propagation-based method of phase contrast imaging. IEEE Transactions on Instrumentation and Measurement, PP(c), 1-1. https://doi.org/10.1109/tim.2019.2910338 
  7. Kunishima, N., Takeda, Y., Hirose, R., Kalasová, D., Šalplachta, J., & Omote, K. (2020). Visualization of internal 3D structure of small live seed on germination by laboratory-based X-ray microscopy with phase contrast computed tomography. Plant Methods, 16(1), 1-10. https://doi.org/10.1186/s13007-020-0557-y 
  8. Zhang, S., Byrnes, A. P., Jankovic, J., & Neilly, J. (2019). Management, Analysis, and Simulation of Micrographs with Cloud Computing. Microscopy Today, 27(2), 26-33. https://doi.org/10.1017/s1551929519000026 
  9. Kalasová, D., Zikmund, T., Pína, L., Horváth, M., & Kaiser, J. (2016). Phase contrast tomographic imaging of polymer composites. 2020, 2020. http://ctlab.ceitec.cz/files/252/165.pdf 
  10. Kalasova, D., Pavlinakova, V., Zikmund, T., Vojtova, L., & Kaiser, J. (2018). Correlation of X-ray Computed Nanotomography and Scanning Electron Microscopy Imaging of Collagen Scaffolds. Microscopy and Microanalysis, 24(S2), 104-105. https://doi.org/10.1017/s1431927618012904 
  11. Hisada, K., Matsuoka, M., Tabata, I., Hirogaki, K., & Hori, T. (2013). Two-step radical grafting onto polypropylene fiber initiated by active species prepared through the irradiation of electron beam. Journal of Photopolymer Science and Technology, 26(2), 277-282. https://doi.org/10.2494/photopolymer.26.277 
  12. Sekita, A., Matsugaki, A., & Nakano, T. (2017). Disruption of collagen/apatite alignment impairs bone mechanical function in osteoblastic metastasis induced by prostate cancer. Bone, 97, 83-93. https://doi.org/10.1016/j.bone.2017.01.004 
  13. Nanako Sakata, Yoshihiro Takeda, Masaru Kotera, Yasuhito Suzuki, and A. M. (2020). Non‐destructive 3D X‐ray Imaging of Internal and Interfacial Structure of Epoxy Monolith and Strength Control by Surface Modification for the Monolith Bonding System. Langmuir. https://pubs.acs.org/doi/abs/10.1021/acs.langmuir.0c01481 
  14. Tomáš Sedlačík, Takayuki Nonoyama, Honglei Guo, Tasuku Nakajima, Yoshihiro Takeda, Takayuki Kurokawa, J. P. G. (2020). Tough Double- and Triple- Network Supermacroporous Hydrogels through Repeated Cryogelation. ACS Publications. https://pubs.acs.org/doi/abs/10.1021/acs.chemmater.0c02911 
  15. Kakio, T., Yoshida, N., Macha, S., Moriguchi, K., Hiroshima, T., Ikeda, Y., Kimura, K. (2017). Classification and visualization of physical and chemical properties of falsified medicines with handheld Raman spectroscopy and X-Ray computed tomography. American Journal of Tropical Medicine and Hygiene, 97(3), 684-689. https://doi.org/10.4269/ajtmh.16-0971 
  16. Takase, A., McNulty, T., & Fitzgibbons, T. (2018). Foam Porosity Calculation by X-Ray Computed Tomography and Errors Caused by Insufficient Resolution. Microscopy and Microanalysis, 24(S2), 546-547. https://doi.org/10.1017/s1431927618014927 
  17. Omote, K., Iwata, T., Takeda, Y., & Ferrara, J. D. (2017). Investigation for fuel-cell structures with multi-scale X-ray analysis. Rigaku Journal, 33(2), 8-13. https://www.semanticscholar.org/paper/Investigation-for-fuel-cell-structures-with-X-ray-Omote-Iwata/78e57af8fa13252533eabb7d5e5a32ceadac9eaa?p2df 
  18. Watanabe, M., Takeda, Y., Maruyama, T., Ikeda, J., Kawai, M., & Mitsumata, T. (2019). Chain structure in a cross-linked polyurethane magnetic elastomer under a magnetic field. International Journal of Molecular Sciences, 20(12). https://doi.org/10.3390/ijms20122879 
  19. Kunishima, N., Takeda, Y., Hirose, R., Kalasová, D., Šalplachta, J., & Omote, K. (2020). Visualization of internal 3D structure of small live seed on germination by laboratory-based X-ray microscopy with phase contrast computed tomography. Plant Methods, 16(1), 1-10. https://doi.org/10.1186/s13007-020-0557-y 
  20. Kalasova, D., Zikmund, T., Pina, L., Takeda, Y., Horvath, M., Omote, K., & Kaiser, J. (2020). Characterization of a laboratory-based x-ray computed nanotomography system for propagation-based method of phase contrast imaging. IEEE Transactions on Instrumentation and Measurement, 69(4), 1170-1178. https://doi.org/10.1109/TIM.2019.2910338 
  21. Akitomo, F., Sasabe, T., Yoshida, T., Naito, H., Kawamura, K., & Hirai, S. (2019). Investigation of effects of high temperature and pressure on a polymer electrolyte fuel cell with polarization analysis and X-ray imaging of liquid water. Journal of Power Sources, 431(February), 205-209. https://doi.org/10.1016/j.jpowsour.2019.04.115 
  22. Watanabe, M., Takeda, Y., Maruyama, T., Ikeda, J., Kawai, M., & Mitsumata, T. (2019). Chain structure in a cross-linked polyurethane magnetic elastomer under a magnetic field. International Journal of Molecular Sciences, 20(12). https://doi.org/10.3390/ijms20122879 
  23. Kalasová, D., Zikmund, T., Mancini, L., Jaroš, J., Tesařová, M., Kaucká, M., Kaiser, J. (2016). Industrial Tomography System for Answering Biological Issues: Development of the Mouse Embryo Face. 6th Conference on Industrial Computed Tomography (ICT 2016), (iCT), 1-9. https://www.ndt.net/article/ctc2016/papers/ICT2016_paper_id37.pdf 
  24. Tanaka, K., Yamada, T., Moriito, K., & Katayama, T. (2016). The effect of molding pressure on the mechanical properties of CFRTP using paper-type intermediate material. High Performance and Optimum Design of Structures and Materials II, 1(Hpsm), 307-315. https://doi.org/10.2495/hpsm160281 
  25. Watanabe, M., Ikeda, J., Takeda, Y., Kawai, M., & Mitsumata, T. (2018). Effect of Sonication Time on Magnetorheological Effect for Monomodal Magnetic Elastomers. Gels, 4(2), 49. https://doi.org/10.3390/gels4020049 
  26. Fukami, T., Koide, T., Hisada, H., Inoue, M., Yamamoto, Y., Suzuki, T., & Tomono, K. (2016). Pharmaceutical evaluation of atorvastatin calcium tablets available on the Internet: A preliminary investigation of substandard medicines in Japan. Journal of Drug Delivery Science and Technology, 31, 35-40. https://doi.org/10.1016/j.jddst.2015.11.006 

  1. Aung, W., Jin, Z. H., Furukawa, T., Claron, M., Boturyn, D., Sogawa, C., … Saga, T. (2013). Micro-positron emission tomography/contrast-enhanced computed tomography imaging of orthotopic pancreatic tumor-bearing mice using the αvβ3 integrin tracer 64Cu-labeled cyclam-RAFT-c(-RGDfK-)4. Molecular Imaging, 12(6), 376-387. https://doi.org/10.2310/7290.2013.00054 
  2. Arai, Y., Yamada, A., Ninomiya, T., Kato, T., & Masuda, Y. (2005). Micro-computed tomography newly developed for in vivo small animal imaging. Oral Radiology, 21(1), 14-18. https://doi.org/10.1007/s11282-005-0024-5 
  3. Reedy, C. L. (2020). 3D Documentation and Analysis of Porosity in Deteriorated Historic Brick. Studies in Conservation, 0(0), 1-4. https://doi.org/10.1080/00393630.2020.1752426 
  4. Iikubo, M., Nishioka, T., Okura, S., Kobayashi, K., Sano, T., Katsumata, A., … Sasano, T. (2016). Influence of voxel size and scan field of view on fracture-like artifacts from gutta-percha obturated endodontically treated teeth on cone-beam computed tomography images. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, 122(5), 631-637. https://doi.org/10.1016/j.oooo.2016.07.014 
  5. Benjamin M. Davis, Glen F. Rall, M. J. S. (2017). HHS Public Access. Physiology & Behavior, 176(1), 139-148. https://doi.org/10.1016/j.physbeh.2017.03.040 
  6. Bolmin, O., Wei, L., Hazel, A. M., Dunn, A. C., Wissa, A., & Alleyne, M. (2019). Latching of the click beetle (Coleoptera: Elateridae) thoracic hinge enabled by the morphology and mechanics of conformal structures. Journal of Experimental Biology, 222(12). https://doi.org/10.1242/jeb.196683 
  7. Kameoka, S., Matsumoto, K., Kai, Y., Yonehara, Y., Arai, Y., & Honda, K. (2010). Establishment of temporomandibular joint puncture technique in rats using in vivo micro-computed tomography (R-mCT®). Dentomaxillofacial Radiology, 39(7), 441-445. https://doi.org/10.1259/dmfr/37174063 

  1. Hagen, C. K., Vittoria, F. A., Morgó, O. R. I., Endrizzi, M., & Olivo, A. (2020). Cycloidal Computed Tomography. Physical Review Applied, 14(1), 1. https://doi.org/10.1103/PhysRevApplied.14.014069 
  2. Diemoz, P. C., Hagen, C. K., Endrizzi, M., Minuti, M., Bellazzini, R., Urbani, L., … Olivo, A. (2017). Single-Shot X-Ray Phase-Contrast Computed Tomography with Nonmicrofocal Laboratory Sources. Physical Review Applied, 7(4), 1-6. https://doi.org/10.1103/PhysRevApplied.7.044029 
  3. Hagen, C. K., Endrizzi, M., Diemoz, P. C., & Olivo, A. (2016). Reverse projection retrieval in edge illumination x-ray phase contrast computed tomography. Journal of Physics D: Applied Physics, 49(25). https://doi.org/10.1088/0022-3727/49/25/255501 
  4. Zamir, A., Endrizzi, M., Hagen, C. K., Vittoria, F. A., Urbani, L., De Coppi, P., & Olivo, A. (2016). Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments. Scientific Reports, 6(August), 1-9. https://doi.org/10.1038/srep31197