Cited by 195Optical Polarization and EllipsometryElectron and X-Ray Spectroscopy TechniquesOptical measurement and interference techniques

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Imaging ellipsometry revisited: Developments for visualization of thin transparent layers on silicon substrates

Jin, Gang, Jansson, Roger, Arwin, Hans·1996·Review of Scientific Instruments

Abstract

Imaging ellipsometry is presented as a technique for quantification and visualization of the lateral thickness distribution of thin (0–30 nm) transparent layers on solid substrates. The main advantage of imaging ellipsometry is that every point on a surface is measured at the same time with a high lateral resolution. The method is based on the use of combined null and off-null ellipsometry at an incident angle close to the pseudo-Brewster angle of a high index substrate such as silicon. In the present experimental setup, a xenon lamp, a collimator, and a wavelength-selective filter provide an expanded collimated probe beam with a diameter of 25 mm. Other major components in the system are a polarizer, a compensator, and an analyzer. In this way, a 15×30 mm2 image of a sample surface can be focused onto a charge-coupled-device video camera and transferred to a computer for further evaluation by image processing. Thickness measurements are performed for calibration purposes with ordinary null ellipsometry. The imaging ellipsometer has an accuracy of better than 0.5 nm at a lateral resolution of 5 μm in the present configuration, but improvements of at least a factor of 5 can be foreseen. Several aspects of the ellipsometric imaging system are illustrated in selected applications including continuous protein thickness distributions, stepped silicon dioxide thickness distributions, and visualization of protein patterning of surfaces. The latter can be used in a biosensor system as illustrated here by antigen–antibody binding studies.

Overview

Integrity signals

Registry

Crossref · 10.1063/1.1147074

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Show all 14 references

Research works printed but not linked: 4

  1. 1993, Trends Appl. Spectrosc., 1, 79
  2. 1993, Thin Solid Films, 233–234, 1
  3. 1983, J. Phys. (Paris) Colloq., 44, C10
  4. 1994, J. Phys. II France, 4, 455

Cited by

Sorted by citations

See all 195

Metadata

Authors
Jin, G., Jansson, R., & Arwin, H.
Affiliations
Linköping University (SE)
Venue
Review of Scientific Instruments
Published
1996-08-01
Volume
67
Issue
8
Pages
2930-2936
ISSN
  • 0034-6748 (ISSN-L)
  • 1089-7623
OpenAlex
W2060629825
Cited by
195
References
14
Citations by year
2026: 3 · 2025: 2 · 2024: 1 · 2023: 7 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 10 · 2018: 6 · 2017: 7 · 2016: 10 · 2015: 8 · 2014: 8 · 2013: 15 · 2012: 7
FWCI
1.23
Type
journal article
Language
en
Open access
closed
Locations
Review of Scientific Instruments (publishedVersion)
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Optical Polarization and Ellipsometry
  • Physical Sciences › Materials Science › Surfaces, Coatings and Films › Electron and X-Ray Spectroscopy Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Optical measurement and interference techniques
Keywords
imaging ellipsometry, pseudo-Brewster angle, lateral resolution, protein adsorption, protein patterning, biosensors, antigen-antibody reaction, image processing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Imaging ellipsometry revisited: Developments for visualization of thin transparent layers on silicon substrates. https://app.cochat.ai/papers/10.1063/1.1147074
The paper
Jin, G., Jansson, R., & Arwin, H. (1996). Imaging ellipsometry revisited: Developments for visualization of thin transparent layers on silicon substrates. Review of Scientific Instruments. https://doi.org/10.1063/1.1147074