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Phasor-based multi-harmonic unmixing forin-vivohyperspectral imaging
Alexander Vallmitjana1, Paola Lepanto2, Florencia Irigoin2,3,4
1Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States of America.
This study introduces a new phasor-based multi-harmonic unmixing method for hyperspectral imaging (HSI). This technique simplifies spectral component quantification in biomedical samples without needing prior spectroscopic data, making HSI more accessible.
Area of Science:
- Biomedical optics
- Spectroscopy
- Cellular imaging
Background:
- Hyperspectral imaging (HSI) is crucial in biomedical science but faces challenges in spectral component unmixing and quantification.
- Traditional methods require specific spectroscopic parameters of fluorescent species, limiting their application.
Purpose of the Study:
- To develop and validate a phasor-based multi-harmonic unmixing method for HSI that simplifies spectral component quantification.
- To demonstrate the method's feasibility for analyzing multiple spectral components, including autofluorescence, in biological samples.
Main Methods:
- The phasor-based multi-harmonic unmixing method was developed, requiring only empirical measurements of pure species.
- Simulations were performed to assess the method's accuracy for up to 6 components, including an unknown autofluorescence component.
- The method was tested in living cells using commercial dyes for organelle labeling and a solvatochromic probe (LAURDAN) for membrane dynamics.
Main Results:
- Simulations confirmed the method's feasibility for up to 5 components and its robustness with autofluorescence in typical confocal imaging conditions.
- The method accurately separated 5 common commercial dyes used for organelle labeling in living cells.
- The study successfully monitored and quantitatively compared membrane order in the Golgi apparatus, mitochondria, and plasma membrane within the same cell using LAURDAN.
Conclusions:
- The phasor-based multi-harmonic unmixing method offers a simplified approach to HSI data analysis, eliminating the need for specialized spectroscopic knowledge.
- This technique democratizes HSI, expanding its use in biomedical research for accurate spectral component unmixing and quantitative analysis of cellular processes.
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