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Updated: May 5, 2026

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures
Published on: November 21, 2019
Spectrally resolved optical microscopy using a transmission grating spectrograph: importance of spatial selection
Dharmendar Kumar Sharma1, Arindam Chowdhury
1Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai, India. arindam@chem.iitb.ac.in dksiitb@gmail.com.
This study introduces a spectrally resolved optical microscopy (SROM) method for precise spatial absorption measurements. Optimal spatial selection is crucial for accurate spectral analysis of microscopic samples.
Area of Science:
- Optical Microscopy
- Spectroscopy
- Materials Science
Background:
- Transmission grating (TG) spectrographs are underutilized for spatially resolved absorption measurements of solid samples.
- The impact of spatial selection on spectral characteristics in such systems is not well understood.
Purpose of the Study:
- To develop an efficient method for sub-micrometer spatial resolution absorption spectroscopy.
- To investigate the influence of spatial selection on spectral features using a slit-TG-CCD setup.
Main Methods:
- Integration of an adjustable slit, transmission grating (TG), and CCD detector with an optical microscope.
- Implementation of spectrally resolved optical microscopy (SROM) for analyzing both fluorescent and non-fluorescent samples.
- Systematic evaluation of spectral changes at varying slit widths, approaching diffraction limits.
Main Results:
- Spatial selection exceeding ~1 μm leads to loss of spectral features, line broadening, and peak shifts.
- Near diffraction-limited slit-width is essential for accurate absorption profiles in TG-CCD based spectroscopy.
- High spatial selection enables identification of spectral signatures of individual components in heterogeneous samples.
Conclusions:
- The developed SROM method provides reliable, spatially resolved absorption spectra at sub-micrometer resolution.
- Precise spatial selection is critical for obtaining accurate spectral data, especially for complex samples.
- This technique has potential for mapping marker distribution and estimating relative concentrations in cellular environments.
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