Hyper-Spectral Phasors (HySP)

Hyper-Spectral Phasors (HySP) denoises and unmixes time-lapse hyperspectral imaging data to separate overlapping fluorophore signals and mitigate noise, photobleaching, and phototoxicity effects.

Key Features:

• Denoising Capability: Reduces noise in hyperspectral time-lapse imaging datasets to improve signal clarity.
• Unmixing Functionality: Separates spectrally overlapping fluorophores for accurate signal identification and quantification.
• Efficiency in Low Signal-to-Noise Regimes: Operates effectively on low signal-to-noise data typical of live-cell imaging.
• Fast Analysis Processing: Performs denoising and unmixing with reduced processing time for large hyperspectral datasets.

Scientific Applications:

• Time-lapse imaging of living specimens: Enables precise multicolor time-lapse imaging of living specimens by separating overlapping signals.
• Multiplexed label studies: Supports simultaneous analysis of multiple fluorescent labels in complex biological samples.
• Developmental biology and cellular processes: Applied to studies of complex cellular processes and developmental biology.
• Zebrafish embryo imaging: Has been applied to unmix seven distinct signals in time-lapse imaging of living zebrafish embryos.

Methodology:

HySP employs advanced computational techniques and algorithms for separation and identification of overlapping spectral signals and for enhancing signal quality while minimizing noise and other imaging artifacts, and achieves swift processing of high-dimensional datasets.