OpenSpectro: An Open-Source Spectroscopic Profiling Platform

Spectroscopic analysis is essential for identifying optical molecular signatures, which are distinct patterns observed across different wavelengths. Understanding these signatures provides critical insights for designing wearable health-monitoring devices. In particular, constructing three-dimensional (3D) spectroscopic graphs of molecular spectra enables the optimization of multi-wavelength photoplethysmography (PPG) sensors, improving their accuracy and performance. However, no prior work has systematically mapped spectroscopic signatures to optimize wavelength combinations, slowing advancements in multi-wavelength PPG sensor deployment. To address this gap, we introduce OpenSpectro, an open-source spectroscopic profiling platform for visualizing and sharing molecular spectral data, particularly human physiological biomarkers. OpenSpectro features a preliminary spectroscopic database containing 17 biomarkers and a spectral attention optimization model that identifies customized wavelength attention weights for each biomarker.