Volume 13, Issue 11 e202000154
FULL ARTICLE

The near-infrared autofluorescence fingerprint of the brain

José Lifante

José Lifante

Fluorescence Imaging Group, Universidad Autonoma de Madrid, Madrid, Spain

Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain

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Blanca del Rosal

Blanca del Rosal

ARC Centre of Excellence for Nanoscale BioPhotonics, School of Science, RMIT University, Melbourne, Victoria, Australia

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Irene Chaves-Coira

Irene Chaves-Coira

Department of Anatomy, Histology and Neuroscience, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain

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Nuria Fernández

Nuria Fernández

Fluorescence Imaging Group, Universidad Autonoma de Madrid, Madrid, Spain

Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain

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Daniel Jaque

Corresponding Author

Daniel Jaque

Fluorescence Imaging Group, Universidad Autonoma de Madrid, Madrid, Spain

Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain

Correspondence

Dr Daniel Jaque, Faculty of Sciences, Department of Physics of Materials, Universidad Autonoma de Madrid, Madrid 28049, Spain.

Email: [email protected]

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Erving Ximendes

Erving Ximendes

Fluorescence Imaging Group, Universidad Autonoma de Madrid, Madrid, Spain

Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain

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First published: 21 July 2020
Citations: 11

Funding information: Comunidad de Madrid, Grant/Award Number: B2017/BMD-3867RENIMCM; European Cooperation in Science and Technology, Grant/Award Number: CA17140; Fundación para la Investigación Biomédica del Hospital Universitario Ramón y Cajal, Grant/Award Number: IMP18_38(2018/0265); Horizon 2020 Framework Programme, Grant/Award Number: 801305; Instituto de Salud Carlos III, Grant/Award Number: PI16/00812; Ministerio de Ciencia, Innovación y Universidades, Grant/Award Number: FJC2018-036734-I; Ministerio de Economía y Competitividad, Grant/Award Numbers: MAT2016-75362-C3-1-R, MAT2017-83111R, MAT2017-85617-R

Abstract

The brain is a vital organ involved in most of the central nervous system disorders. Their diagnosis and treatment require fast, cost-effective, high-resolution and high-sensitivity imaging. The combination of a new generation of luminescent nanoparticles and imaging systems working in the second biological window (near-infrared II [NIR-II]) is emerging as a reliable alternative. For NIR-II imaging to become a robust technique at the preclinical level, full knowledge of the NIR-II brain autofluorescence, responsible for the loss of image resolution and contrast, is required. This work demonstrates that the brain shows a peculiar infrared autofluorescence spectrum that can be correlated with specific molecular components. The existence of particular structures within the brain with well-defined NIR autofluorescence fingerprints is also evidenced, opening the door to in vivo anatomical imaging. Finally, we propose a rational selection of NIR luminescent probes suitable for low-noise brain imaging based on their spectral overlap with brain autofluorescence.image

CONFLICT OF INTEREST

The authors declare no conflict of interest.

DATA AVAILABILITY STATEMENT

Data available on request from the authors.

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