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Nanoscale Three-Dimensional Imaging of Integrated Circuits Using a Scanning Electron Microscope and Transition-Edge Sensor Spectrometer.

Authors :
Nakamura, Nathan
Szypryt, Paul
Dagel, Amber L.
Alpert, Bradley K.
Bennett, Douglas A.
Doriese, William Bertrand
Durkin, Malcolm
Fowler, Joseph W.
Fox, Dylan T.
Gard, Johnathon D.
Goodner, Ryan N.
Harris, James Zachariah
Hilton, Gene C.
Jimenez, Edward S.
Kernen, Burke L.
Larson, Kurt W.
Levine, Zachary H.
McArthur, Daniel
Morgan, Kelsey M.
O'Neil, Galen C.
Source :
Sensors (14248220). May2024, Vol. 24 Issue 9, p2890. 17p.
Publication Year :
2024

Abstract

X-ray nanotomography is a powerful tool for the characterization of nanoscale materials and structures, but it is difficult to implement due to the competing requirements of X-ray flux and spot size. Due to this constraint, state-of-the-art nanotomography is predominantly performed at large synchrotron facilities. We present a laboratory-scale nanotomography instrument that achieves nanoscale spatial resolution while addressing the limitations of conventional tomography tools. The instrument combines the electron beam of a scanning electron microscope (SEM) with the precise, broadband X-ray detection of a superconducting transition-edge sensor (TES) microcalorimeter. The electron beam generates a highly focused X-ray spot on a metal target held micrometers away from the sample of interest, while the TES spectrometer isolates target photons with a high signal-to-noise ratio. This combination of a focused X-ray spot, energy-resolved X-ray detection, and unique system geometry enables nanoscale, element-specific X-ray imaging in a compact footprint. The proof of concept for this approach to X-ray nanotomography is demonstrated by imaging 160 nm features in three dimensions in six layers of a Cu-SiO2 integrated circuit, and a path toward finer resolution and enhanced imaging capabilities is discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
9
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
177183737
Full Text :
https://doi.org/10.3390/s24092890