FLIM data analysis based on Laguerre polynomial decomposition and machine-learning

Significance: The potential of fluorescence lifetime imaging microscopy (FLIM) is recently being recognized, especially in biological studies. However, FLIM does not directly measure the lifetimes, rather it records the fluorescence decay traces. The lifetimes and/or abundances have to be estimated...

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Detalles Bibliográficos
Autores principales: Guo, Shuxia, Silge, Anja, Bae, Hyeonsoo, Tolstik, Tatiana, Meyer, Tobias, Matziolis, Georg, Schmitt, Michael, Popp, Jürgen, Bocklitz, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790506/
https://www.ncbi.nlm.nih.gov/pubmed/33415850
http://dx.doi.org/10.1117/1.JBO.26.2.022909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790506/
https://www.ncbi.nlm.nih.gov/pubmed/33415850
http://dx.doi.org/10.1117/1.JBO.26.2.022909

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