Based on long-lasting experience and the continuous exchange of information with users, the JEOL Superprobe JXA-8230 provides optimum results for a wide range of applications in analytics and imaging.
The system includes an integrated JEOL EDS system, which permits combined EDS/WDS analyses with little operational effort. The EDS system acts as kind of an additional WDS spectrometer and includes an input aperture system to optimize the EDS system for the high beam currents and the associated high count rates that are typical in WDS analytics. As an option, a LN2-free EDS detector (SDD) is available as well.
The electron optics of the JXA-8230, which is the fifth generation of the Superprobes, has been optimized for analysis and offers versatile automatic functions (auto focus, control of contrast and brightness, astigmatism correction). A significantly expanded depth of focus can be adjusted very easily through a unique LDF (large depth of focus) and MDF (maximum depth of focus) mode.
The Superprobe JXA-8230 can be equipped with up to 5 WDS spectrometers in total, in addition to the EDS system. Three different spectrometer types with special crystals are available for the combination of all possible applications.
An integrated, optical microscope (OM) with TV camera and a variety of specimen stages allow for simple analysis, even of large specimen. The convenient software simplifies even complex analyses as well as the imaging of the obtained results.
W- or LaB6 emitter (option)
0.2 to 30 kV
10-12 to 10-5 A
Beam current stability
±0.05% / h, ±0.3% / 12h
Resolution in SE image
x40 to x300,000
Number of spectrometers
1 to 5
Detectable element range
5B to 92U (optional: Be to U)
0.087 to 9.3 nm
Subject to technical changes; errors excepted. All brand names that appear in the text are registered trademarks of the manufacturers.
We are happy to answer your questions at no charge and free of
obligation and can offer consulting on upcoming projects.
Please use the following contact form (* = mandatory field) for your personal data.