Quantitative comparison between full-spectrum and filter-based imaging in hyperspectral fluorescence microscopy

Area of Science:

• Microscopy and Imaging Technologies
• Spectroscopy
• Biomedical Optics

Background:

• Traditional fluorescence microscopy relies on filters, limiting spectral range and dynamic range.
• Achieving full-range spectral imaging is crucial for accurate fluorophore analysis.
• Existing methods face challenges in signal dynamic range and spectral accuracy.

Purpose of the Study:

• To implement a filterless illumination scheme for hyperspectral fluorescence microscopy.
• To achieve full-range spectral imaging without traditional optical filters.
• To quantitatively compare the performance of filterless versus filter-based microscopy.

Main Methods:

• Developed a filterless illumination scheme for hyperspectral fluorescence microscopy.
• Employed polarization filtering, spatial filtering, and spectral unmixing filtering.
• Conducted quantitative comparisons of signal dynamic range and spectral accuracy.
• Simulated a five-color cell immunofluorescence imaging experiment.

Main Results:

• The filterless scheme enables full-range spectral imaging.
• Quantitative comparisons show improved signal dynamic range and spectral accuracy.
• Simulations indicate a potential threefold improvement in signal dynamic range.
• The technique accurately measures fluorophores' emission spectra.

Conclusions:

• The proposed filterless illumination scheme offers significant advantages for hyperspectral fluorescence microscopy.
• This approach enhances signal dynamic range and spectral accuracy, crucial for biological imaging.
• The technique shows promise for advanced applications like multi-color cell imaging.