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Updated: Jun 23, 2025

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
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Compact Linnik-type hyperspectral quantitative phase microscope for advanced classification of cellular components.

Himanshu Joshi1, Bhanu Pratap Singh1, Ankit Butola2

  • 1Bio-photonics and Green-photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi, India.

Journal of Biophotonics
|June 20, 2024
PubMed
Summary
This summary is machine-generated.

A new compact hyperspectral quantitative phase microscopy (HS-QPM) system simplifies complex techniques. This advanced HS-QPM enables detailed spectral analysis of cellular components for improved biomedical research.

Keywords:
cell component classificationhyperspectral quantitative phase microscopylabel free optical techniquesquantitative phase microscopy

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Area of Science:

  • Biomedical Optics
  • Microscopy
  • Spectroscopy

Background:

  • Hyperspectral quantitative phase microscopy (HS-QPM) offers wavelength-dependent analysis of biological samples.
  • Conventional HS-QPM systems can be complex and unstable, limiting their widespread application.
  • Advanced cellular characterization requires high-resolution imaging techniques with spectral information.

Purpose of the Study:

  • To develop a compact and stable Linnik-type hyperspectral quantitative phase microscopy (HS-QPM) system.
  • To demonstrate the system's capability in acquiring and analyzing spectral phase information from biological and industrial specimens.
  • To explore the potential of HS-QPM for enhanced cellular characterization in biomedical research.

Main Methods:

  • Development of a compact Linnik-type HS-QPM system utilizing a single objective lens for both sample and reference arms.
  • Acquisition of hyperspectral phase maps from exfoliated cheek cells at various wavelengths, forming a hyperspectral phase cube.
  • Application of principal component analysis (PCA) to analyze the wavelength-dependent response of cellular components and identify spectral features.

Main Results:

  • Successful development of a compact and stable HS-QPM system.
  • Generation of hyperspectral phase cubes for biological samples, revealing spectral dimensionality in phase distribution.
  • Identification of dominant spectral features in cellular components through PCA, highlighting wavelength-specific optical properties.

Conclusions:

  • The developed compact HS-QPM system effectively reduces complexity and instability associated with conventional methods.
  • HS-QPM provides valuable spectral information for detailed cellular characterization.
  • This technique shows significant promise for advancing biomedical research and clinical diagnostics through enhanced cellular analysis.