Efficient Algorithm for Optimal Wavelength Selection in Photoacoustic Spectral Unmixing
Year: 2026
Type: supplementary-materials
Abstract: We present a novel method for numerically determining the optimal wavelengths to perform spectral unmixing in photoacoustic experiments. The proposed method employs a rugged landscape-model-inspired stochastic hill-climbing approach that can reliably and efficiently converge to near-optimal wavelength selections. Compared to current methods, the algorithm consistently achieves superior spectral unmixing accuracy, as is demonstrated on synthetic and experimental data, while maintaining equivalent or faster run times, particularly in broad spectral ranges. The algorithm’s adaptability with respect to computational efficiency makes it effective for both targeted offline wavelength optimization and opens up prospects for time-critical, real-time wavelength correction.
Source: Figshare
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7156612030