Signal processing methods in a single-photon counting system

2007 ◽  
Author(s):  
Yanping Chen ◽  
Min Du ◽  
Rui Li
Keyword(s):  
Signal Processing ◽  
Single Photon ◽  
Photon Counting ◽  
Counting System ◽  
Processing Methods ◽  
Single Photon Counting ◽  
Signal Processing Methods

Compact, Low-Power and Fully Reconfigurable 10 ps Resolution, 160 Range, Time-Resolved Single-Photon Counting System

2016 ◽  
Vol 16 (10) ◽  
pp. 3827-3833 ◽  
Author(s):  
Davide Tamborini ◽  
Mauro Buttafava ◽  
Alessandro Ruggeri ◽  
Franco Zappa
Keyword(s):  
Low Power ◽  
Single Photon ◽  
Photon Counting ◽  
Counting System ◽  
Time Resolved ◽  
Single Photon Counting

Single‐photon counting system for measuring laser parameters

1979 ◽  
Vol 50 (8) ◽  
pp. 1013-1017
Author(s):  
T. G. Miller ◽  
D. R. Womack ◽  
J. R. Williams ◽  
M. J. Monahan ◽  
Q. C. Murphree
Keyword(s):  
Single Photon ◽  
Photon Counting ◽  
Counting System ◽  
Single Photon Counting ◽  
Laser Parameters

Use of a synchronously pumped picosecond laser for excitation of a spectrofluorimetric single-photon counting system

1983 ◽  
Vol 13 (8) ◽  
pp. 1132-1134
Author(s):  
S F Ivanov ◽  
A V Ostrovskiĭ ◽  
P G Pleshanov ◽  
K A Turkin ◽  
V S Fokin ◽  
...  
Keyword(s):  
Single Photon ◽  
Photon Counting ◽  
Picosecond Laser ◽  
Counting System ◽  
Single Photon Counting ◽  
Synchronously Pumped

A pixel detector-based single photon-counting system as fast spectrometer for diagnostic x-ray beams

2008 ◽  
Vol 129 (1-3) ◽  
pp. 119-122 ◽  
Author(s):  
C. Carpentieri ◽  
M. G. Bisogni ◽  
A. Del Guerra ◽  
P. Delogu ◽  
M. E. Fantacci ◽  
...  
Keyword(s):  
Single Photon ◽  
Photon Counting ◽  
Pixel Detector ◽  
Counting System ◽  
Single Photon Counting ◽  
X Ray

Picosecond Tryptophan Fluorescence of Human Blood Serum Orosomucoid

1996 ◽  
Vol 61 (5) ◽  
pp. 808-818 ◽  
Author(s):  
Martin Hof ◽  
Stefan Vajda ◽  
Vlastimil Fidler ◽  
Vladimír Karpenko
Keyword(s):  
Single Photon ◽  
Global Analysis ◽  
Photon Counting ◽  
Tryptophan Fluorescence ◽  
Fluorescence Decay ◽  
Amino Acid Residues ◽  
Counting System ◽  
Single Photon Counting ◽  
Decay Behaviour ◽  
The Individual

The state of three tryptophyl residues in human serum orosomucoid was estimated by prediction methods based on parameters characterizing their hydrophobicity either directly, or in terms of buried surfaces of the individual amino acid residues. It is shown that tryptophan 25 is the most buried, while Trp 160 is the most exposed to the solvent. Trp 122 is in this respect in an intermediate state. The fluorescence decay behaviour was determined using a picosecond single photon counting system. The multiwavelength data were analyzed using a global analysis as well as a distribution of lifetimes program. Both procedures yielded the existence of four wavelength independent lifetimes (0.22 ns, 1.0 ns, 2.5 ns, and 8.4 ns). A tentative assignment of the decay associated spectra of the four components to the three individual tryptophans is presented.

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