Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine

We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM), using the extreme learning machine (ELM). We used extensive metrics to evaluate ELM and existing algorithms. First, we compared these algorithms using synthetic datasets. The results indicate that E...

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Detalles Bibliográficos
Autores principales: Zang, Zhenya, Xiao, Dong, Wang, Quan, Li, Zinuo, Xie, Wujun, Chen, Yu, Li, David Day Uei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146214/
https://www.ncbi.nlm.nih.gov/pubmed/35632167
http://dx.doi.org/10.3390/s22103758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146214/
https://www.ncbi.nlm.nih.gov/pubmed/35632167
http://dx.doi.org/10.3390/s22103758

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