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Updated: Mar 12, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
Published on: December 30, 2025
A broadband configuration for static Fourier transform spectroscopy with bandpass sampling
Behzad Sardari1, Federico Davoli1, Meriç Özcan1
1Faculty of Engineering and Natural Sciences, Sabanci University, İstanbul, Turkey.
A novel static Fourier transform spectrometer (static-FTS) design divides spectra into narrow bands, enabling compact, high-resolution measurements. This breakthrough allows detailed spectral analysis using standard CCD cameras, overcoming previous limitations.
Area of Science:
- Spectroscopy
- Optical Engineering
- Instrument Design
Background:
- Traditional Fourier transform spectrometers (FTS) can be bulky and complex.
- Achieving high resolution often requires specialized detectors or sampling techniques.
- Existing methods may face challenges with Nyquist sampling rates for broadband applications.
Purpose of the Study:
- To propose a new broadband static Fourier transform spectrometer (static-FTS) configuration.
- To reduce spectrometer size while maintaining high spectral resolution.
- To enable high-resolution spectroscopy using standard CCD cameras.
Main Methods:
- A novel static-FTS configuration is presented, dividing the spectrum into multiple narrow bands.
- The technique addresses the Nyquist sampling rate issue inherent in broadband spectroscopy.
- A dedicated algorithm is developed for processing interferograms recorded by CCD cameras.
Main Results:
- The proposed static-FTS configuration significantly decreases spectrometer size.
- It operates within the 400 nm-1100 nm range with resolutions of 1 cm⁻¹ or better.
- High-resolution spectra are successfully recorded using regular CCD detectors.
Conclusions:
- The new static-FTS design offers a compact and efficient solution for high-resolution spectroscopy.
- This approach overcomes limitations of traditional FTS systems, particularly regarding size and detector requirements.
- The developed algorithm effectively processes data for accurate spectral analysis.
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