Evidence map›Paper›PMID 39329816›Full record

ArticleBiosensors2024

Analysis of Random Lasing in Human Blood.

Sergio de Armas-Rillo, Beatriz Abdul-Jalbar, Josmar Salas-Hernández, Jose María Raya-Sánchez, Tomás González-Hernández, Fernando Lahoz

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sergio de Armas-RilloDepartamento 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.ORCID 0000-0003-2084-3200
Beatriz Abdul-JalbarDepartamento de Matemáticas, Estadística e Investigación Operativa, Universidad de La Laguna (ULL), 38206 Santa Cruz de Tenerife, Spain.ORCID 0000-0003-0321-7662
Josmar Salas-HernándezDepartamento de Ciencias Médicas Básicas, Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna (ULL), 38071 Santa Cruz de Tenerife, Spain.
Jose María Raya-SánchezLaboratorio de Hematología, Servicio de Hematología y Hemoterapia, Hospital Universitario de Canarias, 38320 La Laguna, Spain.
Tomás González-HernándezDepartamento de Ciencias Médicas Básicas, Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna (ULL), 38071 Santa Cruz de Tenerife, Spain.ORCID 0000-0002-2223-7434
Fernando LahozDepartamento 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.

Funding

Agencia Estatal de Investigación PID2019-105795RB-I00Agencia Estatal de Investigación PID2022-136566NB-I00Agencia Estatal de Investigación PID2023-147959OB-I00
6 · The paper itself

Abstract

Random lasing (RL) is an optical phenomenon that arises from the combination of light amplification with optical feedback through multiple scattering events. In this paper, we present our investigations of RL generation from human blood samples. We tested mixtures of rhodamine B dye solutions with different blood components, including platelets, lymphocytes, erythrocytes, and whole blood. Intense coherent RL was obtained in all cases at relatively low pump thresholds, except for erythrocytes. We also studied the potential of RL signal analysis for biosensing applications using blood samples from healthy individuals and patients suffering from Chronic Lymphocytic Leukemia (CLL). CLL is a blood disease characterized by a high count of lymphocytes with significant morphological changes. A statistical analysis of the RL spectra based on principal component and linear discriminant analyses was conducted for classification purposes. RL-based sample discrimination was conducted for whole blood, platelet, and lymphocyte samples, being especially successful (86.7%) for the latter. Our results highlight the potential of RL analysis as a sensing tool in blood.

Indexed as

Biosensing TechniquesBlood PlateletsErythrocytesHumansLeukemia, Lymphocytic, Chronic, B-CellLymphocytesRhodaminesrhodamine BRhodaminesbiolaserschronic lymphocytic leukemiaoptical sensingrandom laserwhole blood

Identifiers

PMID39329816
PMCPMC11429554

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.