F.J. Lahoz

We introduce a novel RF photonic phase shifter based on Brillouin signal processing of optical single-sideband signals. The theoretical fundamentals of the design are explained and the main factors influencing its performance are analyzed. This phase shifter provides broad operational bandwidth and a full 360/spl deg/ phase-shift tuning range with a single external electrical control. A prototype of the phase shifter with 18-GHz bandwidth and full 360/spl deg/ tuning range is experimentally demonstrated.

Phase shift module

Compatible sideband transmission

Modulation (music)

10.1109/lpt.2005.861307

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Citations (225)

Random lasing as a sensing tool in brain samples of an animal model of Huntington's disease

Applied Physics Letters (2022)

Sergio de Armas-Rillo Felipe Fumagallo-Reading Diego Luis-Ravelo Beatriz Abdul‐Jalbar Tomás González‐Hernández

Huntington's disease (HD) is an autosomal dominant neurodegenerative disease caused by an expansion of CAG triplet repeats in the gene that encodes the protein Huntingtin (HTT). Proteolytic fragments of the mutant HTT (mHTT) are accumulated in neurons leading to neurodegeneration. HD has no cure, and most research efforts are focused on finding disease-modifying therapies and biomarkers of disease progression and treatment efficacy. Random lasing (RL) has been successfully used in biomedicine to differentiate normal from pathological tissues showing robust morphological and structural differences. Here, we evaluate the potential of RL in discriminating brain samples of a transgenic mouse model of HD from those of its wild-type littermates. Furthermore, we also investigate the sensibility of RL to the effects of a mHTT lowering treatment in transgenic mice therapy. The results reveal that multivariate statistical analysis of RL signals discriminates between healthy and transgenic mice and also between treated and untreated transgenic mice. These findings open up perspectives for RL as a sensing tool in HD and, possibly, in other neurodegenerative diseases whose pathogenic hallmark is the accumulation of anomalous proteins.

Huntingtin Protein

10.1063/5.0114115

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Citations (4)

Optofluidic Devices and Applications

MDPI eBooks (2020)

F. Yubero F.J. Lahoz

Optofluidic devices are of high scientific and industrial interest in chemistry, biology, material science, pharmacy, and medicine. In recent years, they have experienced strong development because of impressive achievements in the synergistic combination of photonics and micro/nanofluidics. Sensing and/or lasing platforms showing unprecedented sensitivities in extremely small analyte volumes, and allowing real-time analysis within a lab-on-a-chip approach, have been developed. They are based on the interaction of fluids with evanescent waves induced at the surface of metallic or photonic structures, on the implementation of microcavities to induce optical resonances in the fluid medium, or on other interactions of the microfluidic systems with light. In this context, a large variety of optofluidic devices has emerged, covering topics such as cell manipulation, microfabrication, water purification, energy production, catalytic reactions, microparticle sorting, micro-imaging, or bio-sensing. Moreover, the integration of these optofluidic devices in larger electro-optic platforms represents a highly valuable improvement towards advanced applications, such as those based on surface plasmon resonances that are already on the market. In this Special Issue, we invited the scientific community working in this rapidly evolving field to publish recent research and/or review papers on these optofluidic devices and their applications.

Nanofluidics

Optofluidics

Microtechnology

Biophotonics

10.3390/books978-3-03943-718-4

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CCDC 903161: Experimental Crystal Structure Determination

The Cambridge Structural Database (2013)

D. Carmona Fernando Viguri A. Asenjo M.P. Lamata F.J. Lahoz

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/ccz9t79

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CCDC 923962: Experimental Crystal Structure Determination

The Cambridge Structural Database (2013)

Borja Calvo A. Alvarez Ramón Macı́as Pilar Garcı́a-Orduña F.J. Lahoz

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/cc100g7q

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CCDC 831650: Experimental Crystal Structure Determination

The Cambridge Structural Database (2012)

Inmaculada Mena Miguel A. Casado Pilar Garcı́a-Orduña Víctor Polo F.J. Lahoz

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/ccwxdfl

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Holmium doped fiber thermal sensing based on an optofluidic Fabry-Perot microresonator

Journal of Luminescence (2018)

F.J. Lahoz I.R. Martı́n Kevin Soler‐Carracedo J.M. Cáceres Jorge Gil‐Rostra

Holmium

10.1016/j.jlumin.2018.10.103

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Citations (6)

CCDC 142324: Experimental Crystal Structure Determination

The Cambridge Structural Database (2000)

Daniel Carmona Joaquina Ferrer J.M. Arilla J. Reyes F.J. Lahoz

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/cc4s333

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CCDC 198060: Experimental Crystal Structure Determination

The Cambridge Structural Database (2003)

Daniel Carmona F.J. Lahoz S. Elipe L.A. Oro M.P. Lamata

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/cc6n31z

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CCDC 100898: Experimental Crystal Structure Determination

The Cambridge Structural Database (1998)

M. Victoria Jiménez Eduardo Sola J. A. Rodriguez Lopez F.J. Lahoz Luis A. Oro

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Crystal (programming language)

10.5517/cc3czs6

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