Theoretical investigation of the signal-to-noise ratio for different fluorescence lifetime imaging techniques

2002 ◽  
Author(s):  
Kjell Carlsson ◽  
Johan Philip
Keyword(s):  
Theoretical Investigation ◽  
Fluorescence Lifetime ◽  
Signal To Noise Ratio ◽  
Imaging Techniques ◽  
Fluorescence Lifetime Imaging ◽  
Signal To Noise ◽  
Lifetime Imaging ◽  
Noise Ratio

Chapter 14 Fluorescence Lifetime Imaging Techniques for Microscopy

1998 ◽  
pp. 277-304 ◽  
Author(s):  
Todd French ◽  
Peter T.C. So ◽  
Chen Y. Dong ◽  
Keith M. Berland ◽  
Enrico Gratton
Keyword(s):  
Fluorescence Lifetime ◽  
Imaging Techniques ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

scholarly journals Timing and Operating Mode Design for Time-Gated Fluorescence Lifetime Imaging Microscopy

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Chao Liu ◽  
Xinwei Wang ◽  
Yan Zhou ◽  
Yuliang Liu
Keyword(s):  
High Resolution ◽  
Fluorescence Imaging ◽  
Fluorescence Lifetime ◽  
Imaging Techniques ◽  
Absolute Measurement ◽  
Operating Mode ◽  
Least Square ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

Steady-state fluorence imaging and time-resolved fluorescence imaging are two important areas in fluorescence imaging research. Fluorescence lifetime imaging is an absolute measurement method which is independent of excitation laser intensity, fluorophore concentration, and photobleaching compared to fluorescence intensity imaging techniques. Time-gated fluorescence lifetime imaging microscopy (FLIM) can provide high resolution and high imaging frame during mature FLIM methods. An abstract time-gated FLIM model was given, and important temporal parameters are shown as well. Aiming at different applications of steady and transient fluorescence processes, two different operation modes, timing and lifetime computing algorithm are designed. High resolution and high frame can be achieved by one-excitation one-sampling mode and least square algorithm for steady imaging applications. Correspondingly, one-excitation two-sampling mode and rapid lifetime determination algorithm contribute to transient fluorescence situations.

scholarly journals Artificial neural network approaches for fluorescence lifetime imaging techniques

2016 ◽  
Vol 41 (11) ◽  
pp. 2561 ◽  
Author(s):  
Gang Wu ◽  
Thomas Nowotny ◽  
Yongliang Zhang ◽  
Hong-Qi Yu ◽  
David Day-Uei Li
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fluorescence Lifetime ◽  
Imaging Techniques ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging ◽  
Artificial Neural ◽  
Network Approaches
Sign in / Sign up

Export Citation Format

Share Document