Optimizing Laguerre expansion based deconvolution methods for analysing bi-exponential fluorescence lifetime images

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Zhang, Yongliang and Chen, Yu and Li, David Day-Uei (2016) Optimizing Laguerre expansion based deconvolution methods for analysing bi-exponential fluorescence lifetime images. Optics Express, 24 (13). pp. 13894-13905. ISSN 1094-4087 (https://doi.org/10.1364/OE.24.013894)

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Abstract

Fast deconvolution is an essential step to calibrate instrument responses in big fluorescence lifetime imaging microscopy (FLIM) image analysis. This paper examined a computationally effective least squares deconvolution method based on Laguerre expansion (LSD-LE), recently developed for clinical diagnosis applications, and proposed new criteria for selecting Laguerre basis functions (LBFs) without considering the mutual orthonormalities between LBFs. Compared with the previously reported LSD-LE, the improved LSD-LE allows to use a higher laser repetition rate, reducing the acquisition time per measurement. Moreover, we extended it, for the first time, to analyze bi-exponential fluorescence decays for more general FLIM-FRET applications. The proposed method was tested on both synthesized bi-exponential and realistic FLIM data for studying the endocytosis of gold nanorods in Hek293 cells. Compared with the previously reported constrained LSD-LE, it shows promising results.

ORCID iDs

Zhang, Yongliang, Chen, Yu and Li, David Day-Uei ORCID logoORCID: https://orcid.org/0000-0002-6401-4263;
CORE (COnnecting REpositories)