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Machine learning-assisted tomographic reconstruction of refractive index profiles for femtosecond laser-written waveguides

  • Jack W. Agnes
  • , Nicole A. Batista
  • , Devi Sapkota
  • , Yuxuan Zhang
  • , Cameron Lapadula
  • , Garima C. Nagar
  • , Dennis Dempsey
  • , Riley S. Freeland
  • , Alexander L. Cuno
  • , James S. Sutherland
  • , Bonggu Shim
  • State University of New York Binghamton University
  • Corning Incorporated

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We report machine learning (ML)-assisted limited-angle tomographic measurements of waveguides in glass fabricated using femtosecond laser micromachining (FLM). First, we manufacture waveguides in thin glass via FLM, and their effectiveness as a single-mode waveguide is confirmed via light coupling and loss measurements. Second, ML-assisted limited-angle tomography is successfully employed to visualize and measure 3-D index profiles of the FLM-written waveguide and give valuable insights into its structure. Our ML-assisted tomography should provide an important and robust diagnostic for the fabrication of photonic devices via 3-D visualization.

Original languageEnglish
Pages (from-to)1862-1869
Number of pages8
JournalJournal of the Optical Society of America B: Optical Physics
Volume42
Issue number8
DOIs
StatePublished - Aug 2025

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