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Conducting Multiple Imaging Modes with One Fluorescence Microscope
Published on: October 28, 2018
Fluorescence Excitation-Emission-Matrix Imaging.
Oren Katz1, Travis Ferguson2, Emma Abbey1
1Department of Chemistry, University of Victoria, Victoria, British Columbia V8W 5C2, Canada.
This study introduces a fast 4D fluorescence imaging system capable of capturing excitation-emission-matrix spectra at each pixel. The novel system enables rapid data acquisition for complex fluorescent sample analysis.
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Area of Science:
- Spectroscopy
- Microscopy
- Analytical Chemistry
Background:
- Traditional fluorescence imaging often faces limitations in spectral resolution and acquisition speed.
- Characterizing complex fluorescent samples requires detailed spectral information across spatial dimensions.
Purpose of the Study:
- To develop and validate a novel 4-dimensional (4D) fluorescence imaging system.
- To enhance data acquisition rates for excitation-emission-matrix (EEM) spectroscopy at each pixel.
- To demonstrate the system's capability in analyzing complex mixtures and dynamic fluorescence changes.
Main Methods:
- Implementation of a 4D fluorescence imaging system with 65,536 pixels, each containing an excitation-emission-matrix spectrum (31 excitation, 8 emission wavelengths).
- Utilized Hadamard-transform multiplexing with a 31-channel programmable light source for rapid data acquisition (8 seconds per image).
- Employed multivariate analysis, specifically parallel factor analysis, for data interpretation.
Main Results:
- Successfully acquired 4D EEM spectral data across spatial dimensions (x, y, excitation wavelength, emission wavelength).
- Demonstrated system performance with imaging of dye solutions in capillaries and layered solutions under varying temperatures.
- Generated spatial distribution images of fluorophores and their relative intensity changes over time.
Conclusions:
- The developed 4D fluorescence imaging system significantly increases data acquisition speed for EEM spectroscopy.
- The system effectively characterizes complex fluorescent mixtures and dynamic spectral changes.
- Multivariate analysis provides valuable insights into fluorophore distribution and behavior.

