4.6 Article

The role of tissue fluorescence in in vivo optical bioimaging

期刊

JOURNAL OF APPLIED PHYSICS
卷 128, 期 17, 页码 -

出版社

AIP Publishing
DOI: 10.1063/5.0021854

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资金

  1. Spanish Ministry of Economy and Competitiveness [MAT2016-75362-C3-1-R]
  2. Spanish Ministry of Sciences, Innovation and Universities [PID2019-106211RB-I00 (NANONERV)]
  3. Instituto de Salud Carlos III [PI16/00812, PI19/00565, CD17/00210]
  4. Comunidad Autonoma de Madrid [B2017/BMD-3867RENIMCM]
  5. European Union [801305]
  6. Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal [IMP18_38(2018/0265)]
  7. COST action [CA17140]
  8. China Scholarship Council [201806870023]
  9. Juan de la Cierva Formacion scholarship [FJC2018-036734-I]
  10. European Structural and investment fund

向作者/读者索取更多资源

The technological advancements made in optics and semiconductors (e.g., cameras and laser diodes) working with infrared have brought interest in optical bioimaging back to the forefront of research investigating in vivo medical imaging techniques. The definition of the near-infrared transparency windows has turned optical imaging into more than just a method for topical imaging applications. Moreover, this has focused attention back to tissue fluorescence, emissions by tissues and organs that occur when excited by external illumination sources. Most endogenous fluorophores emit in the blue to green range of the electromagnetic spectrum and the resulting tissue fluorescence can be employed in studies from cells to tissue metabolism or avoided by shifting to the red if seen as unwanted autofluorescence. With the more recent move to infrared, it was discovered that autofluorescence is not limited to the visible but also strongly affects in vivo imaging in the infrared. In this Tutorial, we give an overview on tissue fluorescence and tissue interactions with excitation light as well as their effect on in vivo imaging. Furthermore, potential sources of tissue fluorescence in the near-infrared are identified and we describe approaches for successful biomedical imaging in the biological windows, taking into consideration infrared autofluorescence and summarizing techniques for avoiding it in in vivo imaging experiments.

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