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Updated: Aug 5, 2026

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A Multimodal Wide-Field Fourier-Transform Raman Microscope
Published on: December 30, 2025
High-speed hyperspectral microscopy: Fourier transform spectroscopy vs. liquid crystal tunable filters
1University of Wisconsin-Milwaukee, College of Engineering & Applied Science, 3200 North Cramer Street, Milwaukee, WI 53211, USA.
Summary
Fourier transform spectroscopy (FTS) offers superior hyperspectral microscopy for living specimens. This technique significantly boosts signal-to-noise ratio (SNR) compared to conventional filters, enabling clearer imaging of dim targets.
Area of Science:
- Biophotonics
- Microscopy
- Spectroscopy
Background:
- Hyperspectral fluorescence microscopy enables multiplexed imaging of living biological samples.
- Conventional spectral filters (LCTF, AOTF) cause photon loss, limiting imaging performance.
- Photon loss in traditional filters hinders the imaging of low-signal biological targets.
Purpose of the Study:
- To evaluate Fourier transform spectroscopy (FTS) as a high-speed hyperspectral microscopy platform.
- To compare the performance of FTS against conventional liquid crystal tunable filters (LCTFs).
- To assess the signal-to-noise ratio (SNR) and imaging capabilities of FTS under low photon budgets.
Main Methods:
- A head-to-head comparison of LCTF and FTS platforms was conducted using identical cameras and optical setups.
- Twelve distinct CD marker-fluorophore bead conjugates were used to test performance across varying signal strengths.
- Exposure constraints were matched between LCTF and FTS systems for a fair comparison.
Main Results:
- FTS captures all emission wavelengths simultaneously, resulting in a lower noise floor and spectral uncertainty compared to LCTF.
- FTS demonstrated a significantly higher signal-to-noise ratio (SNR) than LCTF across all tested biomarker combinations.
- FTS achieved a 42% higher SNR for equivalent peak intensities and a 2.5-fold to 8.5-fold SNR boost for the same targets, enabling visualization of previously invisible dim targets.
Conclusions:
- Fourier transform spectroscopy (FTS) provides a superior architecture for high-speed hyperspectral microscopy.
- FTS overcomes the photon loss limitations of conventional filters, offering improved SNR and imaging of low-signal specimens.
- FTS is a promising enabling platform for advanced biological imaging applications requiring high spectral resolution and speed.
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