UVA Hyperspectral Light-Sheet Microscopy for Volumetric Metabolic Imaging: Application to Preimplantation Embryo
Josephine Morizet1, Darren Chow2,3,4, Philip Wijesinghe1
1SUPA, School of Physics and Astronomy, University of St Andrews, North Haugh, St Andrews Fife KY16, U.K.
Summary
This study introduces a novel hyperspectral light-sheet microscopy technique for noninvasively mapping cellular metabolism. The method efficiently quantifies metabolic cofactors nicotinamide adenine dinucleotide (phosphate) and flavin adenine dinucleotide in 3D, aiding in assessing tissue and cell viability.
Area of Science:
- Cellular and Molecular Biology
- Biophysics
- Microscopy and Imaging Technologies
Background:
- Cellular metabolism is crucial for cell energetics, growth, regeneration, and homeostasis.
- Spatially mapping metabolic heterogeneity is vital for understanding cell and tissue health.
- Current imaging techniques for endogenous metabolic cofactors like NAD(P)H and FAD have limitations for clinical applications.
Purpose of the Study:
- To develop a noninvasive, high-resolution 3D imaging method for mapping cellular metabolism.
- To utilize phasor-based hyperspectral light-sheet microscopy with a single UVA excitation wavelength.
- To enable real-time assessment of metabolic activity for clinical translation.
Main Methods:
- Developed a phasor-based hyperspectral light-sheet (HS-LS) microscopy system.
- Employed a single UVA excitation wavelength (375 nm) to simultaneously excite NAD(P)H and FAD autofluorescence.
- Utilized hardware-based spectral phasor analysis for quantifying relative contributions of NAD(P)H and FAD.
Main Results:
- Demonstrated simultaneous excitation and quantification of NAD(P)H and FAD autofluorescence using a single UVA wavelength.
- Captured dynamic changes in metabolic activity during preimplantation embryo development.
- Generated volumetric maps of metabolic activity to delineate developmental changes.
Conclusions:
- The developed HS-LS microscopy approach enables noninvasive 3D mapping of cellular metabolism.
- This technique overcomes limitations of existing methods, such as multiple excitation wavelengths or complex postprocessing.
- The findings pave the way for clinical translation, including in situ, noninvasive assessment of embryo viability and tissue health.


