BioPhotonics Signal Analysis: Phase-derived features for microparticles and nanoparticles identification

Optical Fiber Tweezers (OFT) can be used to study manifestations of light-matter interactions and deduce properties of micron-sized bioparticles trapped within its laser beam center. For this purpose, an innovative approach was previously co-invented on our group named iLoF - intelligent Lab on Fiber, based on optical signal processing obtained from an OFT system with very relevant results. In this project, the phase component of the biophotonic signals acquired is studied for particle type discrimination [1]. This record contains the main 5 independent functions used in the biophotonic signal processing pipeline applied: Filtering, Pre-Processing and calculation of three distinct representations of phase spectrum (DFT phase, Hilbert Instantaneous Phase and Hilbert Phase Slope). This pipeline is followed by the computation of 8 phase spectrum-derived statistical features and the first 40 Phase-Transform coefficients obtained from back-scattering signals, that are then used to detect and discriminate particles under optical trapping phenomenon.

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Feld Wert
Autor Beatriz Barros, João Paulo Cunha
Zuletzt aktualisiert Mai 3, 2024, 15:07 (UTC)
Erstellt Januar 11, 2024, 15:06 (UTC)
Citation Barros, B., & Cunha, J. P. (2024). BioPhotonics Signal Analysis: Phase-derived features for microparticles and nanoparticles identification [Data set]. INESC TEC. https://doi.org/10.25747/XTXJ-AV32
Creation Date September, 2022
DOI https://doi.org/10.25747/XTXJ-AV32
Format MATLAB (.m)
Instrument An opto-electronic setup based on Optical Fiber Tweezers (OFTs) was used to collect the back-scattering signals.
Sprache EN
Project Phase-based BioPhotonics Signal Analysis
Relation [1] Barros, B. J., & Cunha, J. P. S. (2022, June). Micron-Sized Bioparticles Detection through Phase Analysis of Back-Scattering Signals from Optical Fiber Tweezers: An Exploratory Study. In 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (pp. 271-275). IEEE.
Size 10 KB
Software MATLAB
Typ Code for calculation of phase-derived features of back-scattering signals.