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Updated: May 19, 2026

A Reverse Genetic Approach to Test Functional Redundancy During Embryogenesis
06:59

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Published on: August 11, 2010

On the reliability of reverse engineering results.

Tatiana V Amotchkina1, Michael K Trubetskov, Vladimir Pervak

  • 1Research Computing Center, Moscow State University, Leninskie Gory, 119991, Moscow, Russia. tatiana@srcc.msu.ru

Applied Optics
|August 4, 2012
PubMed
Summary

Reverse engineering of optical coatings improves production quality. Online transmittance monitoring data provides the most reliable results for determining actual optical coating parameters.

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Area of Science:

  • Optical Engineering
  • Materials Science
  • Thin Film Technology

Background:

  • Optical coating production quality relies on accurate feedback from reverse engineering.
  • Understanding the reliability of different experimental data types is crucial for effective reverse engineering.
  • Magnetron sputtering is a key technique for manufacturing precise optical coatings.

Purpose of the Study:

  • To investigate the reliability of reverse engineering results using various experimental data.
  • To compare the effectiveness of offline normal incidence transmittance, offline ellipsometric data, and online transmittance monitoring.
  • To establish a benchmark for reverse engineering reliability by detecting intentional errors in optical coatings.

Main Methods:

  • Fabrication of quarter-wave mirrors with intentionally introduced layer thickness errors using magnetron sputtering.
  • Acquisition of offline normal incidence transmittance and ellipsometric data.
  • Recording of online transmittance monitoring data during the deposition of each coating layer.

Main Results:

  • Intentional errors, significantly larger than monitoring errors, were successfully detected.
  • Online transmittance monitoring data demonstrated superior reliability in reverse engineering compared to offline methods.
  • The study quantifies the reliability of detecting intentional errors as a measure of reverse engineering accuracy.

Conclusions:

  • Online transmittance monitoring is the most reliable method for optical coating reverse engineering.
  • Accurate reverse engineering is essential for enhancing the design-production feedback loop in optical coating manufacturing.
  • The findings provide critical insights for optimizing optical coating processes and quality control.