most citedFast fluorescence lifetime imaging analysis via extreme learning machine

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2022

Compact and Robust Deep Learning Architecture for Fluorescence Lifetime Imaging and FPGA Implementation

Zhenya Zang, Dong Xiao, Quan Wang +3

This paper reported a bespoke adder-based deep learning network for time-domain fluorescence lifetime imaging (FLIM). By leveraging the l1-norm extraction method, we propose a 1-D…

physics.bio-ph2022★ 1 cited

Fast fluorescence lifetime imaging analysis via extreme learning machine

Zhenya Zang, Dong Xiao, Quan Wang +4

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…