1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
High-resolution time-to-digital converters (TDCs) with a bidirectional encoder
Yu Wang, Wujun Xie, Haochang Chen +1
A high-resolution time-to-digital converter (TDC) based on wave union (four-edge WU A), dual-sampling, and sub-TDL methods is proposed and implemented in a 16-nm Xilinx UltraScale+…
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…
Are wave union methods still suitable for 20 nm FPGA-based high-resolution (< 2 ps) time-to-digital converters?
Wujun Xie, Haochang Chen, David Day-Uei Li
This paper presents several new structures to pursue high-resolution (< 2 ps) time-to-digital converters (TDCs) in Xilinx 20 nm UltraScale field-programmable gate arrays (FPGAs). T…