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  1. Nion is a world-class developer of advanced scanning transmission electron microscopes ( the UltraSTEM ™ range) and other electron-optical instruments.

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      Nion is a world-class developer of advanced scanning...

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      Nion is a small and responsive company whose scientists and...

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      Nion C 3 /C 5 aberration correctors. This corrector was...

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      Nion UltraSTEM 100. Courtesy Prof. D.A. Muller, L. Fitting...

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      Introduction of the new Nion side-entry stage: M.T. Hotz, G....

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      Nion is a world-leading developer of advanced scanning...

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      These email addresses are monitored by several Nion...

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      Nion was very glad to be able to do its part in making...

  2. 19 de oct. de 2023 · Reserve un taxi en menos de 10 segundos y experimente el servicio prioritario exclusivo de Nion International Limited. Puede realizar la reserva directamente en nuestro mapa y ver cuántos coches...

  3. Nion is a small and responsive company whose scientists and engineers are deeply knowledgeable about electron microscopes and very interested in pursuing new applications. Our UltraSTEM microscopes are completely modular; all the modules of the microscope column use the same exact mating surface.

  4. Nion is a world-class developer of advanced scanning transmission electron microscopes and other electron-optical instruments. We work in close collaboration with our customers, developing instruments that answer real needs in the real world.

  5. Encuentra la cotización más reciente, historial, noticias y otra información vital de NIO Inc. (NION.MX) para ayudarte con tus inversiones e intercambios.

  6. 3 de ene. de 2024 · Nion was the first company to introduce aberration correction for STEM instruments with ultra-high stability for highest resolution images, and Nion is the world leader in ultra-high energy and spatial resolution electron energy-loss spectroscopy (EELS).

  7. 21 de nov. de 2022 · Nions open source image acquisition and processing software project, led by Nion’s Chris Meyer, is now being pushed into areas such as 5D STEM, and machine learning to interpret microscope images and spectra, by users.

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