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Sensing of Streptococcus mutans by microscopic imaging ellipsometry.

Mai Ibrahim Khaleel1, Yu-Da Chen1, Ching-Hang Chien1

  • 1Academia Sinica, Research Center for Applied Sciences, Taipei, TaiwanbAcademia Sinica and National Tsing Hua University, Nano Science and Technology Program, Taiwan International Graduate Program, TaiwancNational Tsing Hua University, Department of Engineering and System Science, Hsinchu, Taiwan.

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Microscopic imaging ellipsometry noninvasively maps Streptococcus mutans optical properties. Advanced models reveal cell details, complementing atomic force microscopy measurements.

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Area of Science:

  • Optical Physics
  • Microscopy
  • Biophysics

Background:

  • Microscopic imaging ellipsometry is a noninvasive, label-free optical technique.
  • It measures ellipsometric parameters (Psi and Delta) as microscopic maps.
  • This method is suitable for characterizing biological species without altering them.

Purpose of the Study:

  • To measure the optical response of dried Streptococcus mutans cells using microscopic imaging ellipsometry.
  • To analyze ellipsometric data using different theoretical models (single-bounce, two-bounce, multibounce).
  • To obtain optical constants and height distribution of S. mutans samples.

Main Methods:

  • Utilized the Optrel Multiskop system for specular reflection in the visible range (450-750 nm).
  • Acquired ellipsometric Psi and Delta images at 500, 600, and 700 nm.
  • Applied single-bounce, two-bounce, and multibounce light path models for data analysis.

Main Results:

  • Optical constant images differed between single-bounce and multi-bounce analyses for S. mutans.
  • Height distributions from two-bounce and multibounce models agreed with AFM thickness measurements.
  • Multi-bounce analyses provided complementary information to single-bounce analysis.

Conclusions:

  • Microscopic imaging ellipsometry effectively characterizes Streptococcus mutans.
  • Two-bounce and multibounce light path analyses offer enhanced accuracy for height distribution.
  • This technique provides valuable, label-free insights into bacterial cell properties.