Three-dimensional photon counting microscopy using Bayesian estimation

2014 ◽  
Author(s):  
M. Cho
2010 ◽  
Vol 35 (11) ◽  
pp. 1825 ◽  
Author(s):  
Jinhyouk Jung ◽  
Myungjin Cho ◽  
Dipak K. Dey ◽  
Bahram Javidi

2019 ◽  
Vol 26 (11) ◽  
pp. 1191-1202 ◽  
Author(s):  
Michael Rosenthal ◽  
Darshan Bryner ◽  
Fred Huffer ◽  
Shane Evans ◽  
Anuj Srivastava ◽  
...  

2020 ◽  
Vol 10 (6) ◽  
pp. 1930
Author(s):  
Chengkun Fu ◽  
Huaibin Zheng ◽  
Gao Wang ◽  
Yu Zhou ◽  
Hui Chen ◽  
...  

Three-dimensional (3D) imaging under the condition of weak light and low signal-to-noise ratio is a challenging task. In this paper, a 3D imaging scheme based on time-correlated single-photon counting technology is proposed and demonstrated. The 3D imaging scheme, which is composed of a pulsed laser, a scanning mirror, single-photon detectors, and a time-correlated single-photon counting module, employs time-correlated single-photon counting technology for 3D LiDAR (Light Detection and Ranging). Aided by the range-gated technology, experiments show that the proposed scheme can image the object when the signal-to-noise ratio is decreased to −13 dB and improve the structural similarity index of imaging results by 10 times. Then we prove the proposed scheme can image the object in three dimensions with a lateral imaging resolution of 512 × 512 and an axial resolution of 4.2 mm in 6.7 s. At last, a high-resolution 3D reconstruction of an object is also achieved by using the photometric stereo algorithm.


2002 ◽  
Vol 41 (36) ◽  
pp. 7671 ◽  
Author(s):  
Marius A. Albota ◽  
Richard M. Heinrichs ◽  
David G. Kocher ◽  
Daniel G. Fouche ◽  
Brian E. Player ◽  
...  

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