ArticleJournal of biomedical optics2026
Radiometric and spectral characterization of multipanel planar light-emitting devices: a generalizable irradiance mapping approach for dose estimation.
Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Comment on home LED masks and skin of colour: the pigmentary blind spot written by Professor Fasal R. Ali in reference to Baeza-Moyano et al., Photochem Photobiol Sci 2026;25:1179-1188.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026Article
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Authors and funding
3 authors.
Funding
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Abstract
Significance: Accurate spectral and radiometric characterization of photobiomodulation (PBM) devices is essential for reliable dosimetry and reproducible therapeutic outcomes. Complex, multilight-emitting diode (LED) systems produce heterogeneous irradiance patterns that complicate dose estimation, underscoring the need for standardized quantitative methods. Aim: To develop and validate a generalizable methodology for the spectral and radiometric characterization of multipanel and multi-LED PBM devices, demonstrated using the ATP38® system. Approach: Spectral properties were measured using an optical fiber-based spectrometer. The radiometric properties were determined by measuring 2D irradiance maps acquired at a 4-cm working distance from a single panel at six wavelengths. A critical element of the method was correcting raw irradiance data for the detector's nonideal angular response, modeled by a Results: Six emission peaks were identified at 454, 525, 594, 627, 729, and 842 nm. The detector angular correction improved the accuracy of the radiometric characterization, and Gaussian modeling of the irradiance enabled its prediction at different working distances. Biological responses correlated with spatial irradiance variations. Conclusions: This framework enables quantitative characterization of the ATP38® device spectral and radiometric properties, supporting accurate light propagation modeling and dosimetry optimization.
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