Related Experiment Video
Updated: Jun 23, 2026

Multimodal Analysis of Microplastics in Drinking Water using a Silicon Nanomembrane Analysis Pipeline
Published on: June 13, 2025
Two-dimensional quantitative mapping of arsenic in nanometer-scale silicon devices using STEM EELS-EDX spectroscopy
G Servanton1, R Pantel, M Juhel
1STMicroelectronics, 850 rue Jean Monnet, F-38926 Crolles, France. germain.servanton@st.com
Field emission gun nanoprobe scanning transmission electron microscopy (STEM) with EDX and EELS can detect arsenic dopants in silicon devices. This method achieves high sensitivity and reveals dopant segregation at interfaces.
Area of Science:
- Materials Science
- Semiconductor Physics
- Analytical Chemistry
Background:
- Accurate characterization of dopant distribution is crucial for silicon semiconductor device performance.
- Nanometer-scale dopant detection requires advanced microscopy techniques.
- Arsenic is a critical n-type dopant in advanced semiconductor fabrication.
Purpose of the Study:
- To evaluate field emission gun nanoprobe scanning electron transmission microscopy (STEM) techniques for detecting arsenic in silicon devices.
- To optimize experimental procedures for enhanced signal-to-noise ratio and sensitivity.
- To compare STEM-based dopant analysis with secondary ion mass spectrometry (SIMS).
Main Methods:
- Utilizing field emission gun nanoprobe scanning electron transmission microscopy (FEG-STEM).
- Employing energy dispersive X-ray (EDX) and electron energy loss spectroscopy (EELS) for elemental analysis.
- Quantifying spectrum profiles and comparing with SIMS data.
Main Results:
- Arsenic detection below 0.1% is achievable with optimized STEM EDX and EELS.
- STEM EDX/EELS results show good agreement with SIMS analyses.
- Variable interface segregation of arsenic was observed in epitaxial devices.
- STEM EDX mapping revealed significant heterogeneities and segregation in BiCMOS transistor emitters.
Conclusions:
- FEG nanoprobe STEM-EDX/EELS is a powerful tool for nanometer-scale arsenic dopant analysis in silicon.
- The technique provides high sensitivity and can identify dopant segregation phenomena.
- Results are comparable to SIMS, offering complementary spatial information.
More Related Videos
11:03Nanoscale Characterization of Liquid-Solid Interfaces by Coupling Cryo-Focused Ion Beam Milling with Scanning Electron Microscopy and Spectroscopy
Published on: July 14, 2022
07:24Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis
Published on: May 10, 2021