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Published on: November 11, 2010
Analysis of Random Lasing in Human Blood
Sergio de Armas-Rillo1, Beatriz Abdul-Jalbar2, Josmar Salas-Hernández3
1Departamento de Física, Instituto Universitario de Estudios Avanzados en Física Atómica, Molecular y Fotónica (IUdEA), Universidad de La Laguna (ULL), 38206 Santa Cruz de Tenerife, Spain.
Random lasing (RL) in blood samples offers a novel biosensing approach. Analysis of RL spectra successfully distinguished between healthy and Chronic Lymphocytic Leukemia (CLL) patient samples, particularly for lymphocytes.
Area of Science:
- Optics
- Biomedical Engineering
- Hematology
Background:
- Random lasing (RL) combines light amplification and scattering for feedback.
- Investigating RL in biological samples like human blood is a developing field.
- Blood diseases like Chronic Lymphocytic Leukemia (CLL) present diagnostic challenges.
Purpose of the Study:
- To explore random lasing generation in human blood components.
- To assess the potential of RL signal analysis for diagnosing blood diseases, specifically CLL.
- To develop a classification method for blood samples using RL spectra.
Main Methods:
- Prepared mixtures of rhodamine B dye with blood components (platelets, lymphocytes, erythrocytes, whole blood).
- Induced and measured random lasing spectra from these mixtures.
- Applied statistical analyses (Principal Component Analysis, Linear Discriminant Analysis) to RL spectra for sample classification.
- Tested samples from healthy individuals and CLL patients.
Main Results:
- Intense coherent RL was achieved in blood components (except erythrocytes) at low pump thresholds.
- RL-based discrimination between healthy and CLL samples was successful.
- Classification accuracy reached 86.7% for lymphocyte samples.
- RL spectra showed distinct patterns for different blood components and disease states.
Conclusions:
- Random lasing is feasible in various human blood components.
- RL analysis demonstrates significant potential as a non-invasive biosensing tool for blood diagnostics.
- This technique shows promise for early detection and monitoring of blood disorders like CLL.
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