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Quantifying colors at micrometer scale by colorimetric microscopy (C-Microscopy) approach.

Benedykt R Jany1

  • 1Marian Smoluchowski Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Lojasiewicza 11, 30348 Krakow, Poland.

Micron (Oxford, England : 1993)
|October 21, 2023
PubMed
Summary

Colorimetric Microscopy (C-Microscopy) quantifies local color details on surfaces using digital microscopy and free software. This method reveals microscale optical properties, enabling detailed material analysis.

Keywords:
C-MicroscopyColor ScienceColorimetric MicroscopyHyperspectral ReflectanceMicroscopy

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Area of Science:

  • Materials Science
  • Optical Physics
  • Analytical Chemistry

Background:

  • Color is a fundamental property arising from light-matter interactions, crucial for material characterization.
  • Traditional color analysis typically operates on a macro scale, limiting detailed microscale investigation.
  • Microscale color quantification requires specialized and often expensive equipment like microscope spectrophotometers.

Purpose of the Study:

  • To introduce an accessible Colorimetric Microscopy (C-Microscopy) approach for microscale color analysis.
  • To enable the quantitative measurement of local color details and optical properties on sample surfaces.
  • To provide a free, software-based solution for advanced microscale optical characterization.

Main Methods:

  • Utilizes digital optical microscopy combined with a free software package.
  • Employs color-calibrated images and colorimetric calculations to generate dominant wavelength and excitation purity maps.
  • Integrates hyperspectral reflectance data recovery for comprehensive microscale optical property characterization.

Main Results:

  • Successfully mapped local color details and optical properties on diverse samples, including metamorphic rocks (unakite, lapis lazuli) and gold surfaces.
  • Demonstrated the ability to recover hyperspectral reflectance data at the microscale.
  • Validated the C-Microscopy approach for analyzing complex mineral mixtures and surface features.

Conclusions:

  • C-Microscopy offers an accessible method for quantifying local optical property variations in materials at the microscale.
  • The approach provides valuable insights into material composition and surface characteristics.
  • Freely available Python Jupyter notebooks facilitate widespread adoption and application of C-Microscopy.