Three-dimensional color photon counting microscopy using Bayesian estimation with adaptive priori information

2015 ◽  
Vol 13 (7) ◽  
pp. 070301-70304 ◽  
Author(s):  
Myungjin Cho Myungjin Cho
Keyword(s):  
Bayesian Estimation ◽  
Photon Counting ◽  
Three Dimensional ◽  
Priori Information

Three-dimensional photon counting integral imaging using Bayesian estimation

2010 ◽  
Vol 35 (11) ◽  
pp. 1825 ◽  
Author(s):  
Jinhyouk Jung ◽  
Myungjin Cho ◽  
Dipak K. Dey ◽  
Bahram Javidi
Keyword(s):  
Bayesian Estimation ◽  
Photon Counting ◽  
Three Dimensional ◽  
Integral Imaging

scholarly journals Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data

2019 ◽  
Vol 26 (11) ◽  
pp. 1191-1202 ◽  
Author(s):  
Michael Rosenthal ◽  
Darshan Bryner ◽  
Fred Huffer ◽  
Shane Evans ◽  
Anuj Srivastava ◽  
...  
Keyword(s):  
Single Cell ◽  
Bayesian Estimation ◽  
Three Dimensional ◽  
Chromosomal Structure

Interpolation of Missing Part of Human Follicle Border on Ultrasonic B-Mode Image by Iterative Revision

2000 ◽  
Vol 22 (2) ◽  
pp. 108-122
Author(s):  
Y. Yamakoshi ◽  
M. Takemoto ◽  
N. Shinozuka
Keyword(s):  
Ovarian Follicle ◽  
A Priori ◽  
Three Dimensional ◽  
Closed Curve ◽  
Smoothness Condition ◽  
A Priori Information ◽  
Follicle Growth ◽  
Cross Sectional ◽  
Geometrical Characteristics ◽  
Priori Information

In clinical infertility treatments, assessment of ovarian follicle growth by ultrasonography is important. In order to measure the geometrical characteristics of the human follicle, such as the area of the cross-sectional image and the volume inside the follicle, a method based on manual tracing of the follicle contour from the ultrasonic B mode image is widely used. However, the observable ultrasonic B mode images are sometimes imperfect and some parts of the follicle border are missing due to the existence of the acoustic shadow. In this paper, a method that interpolates the missing part of the follicle border from the known part is proposed. This method uses a priori information of the follicle, which is usually known in actual cases: (1) the follicle's surface is so smooth that its border is assumed to be a smooth closed curve; and (2) the position of the follicle's center is roughly predicted in advance in the ultrasonic B-mode image. In the proposed method, the missing part of the human follicle border is interpolated from the known part by applying an iterative revision so as to satisfy the smoothness condition of the follicle. This method is also applied to three-dimensional image reconstruction of the human follicle.

scholarly journals Three-Dimensional Imaging via Time-Correlated Single-Photon Counting

2020 ◽  
Vol 10 (6) ◽  
pp. 1930
Author(s):  
Chengkun Fu ◽  
Huaibin Zheng ◽  
Gao Wang ◽  
Yu Zhou ◽  
Hui Chen ◽  
...  
Keyword(s):  
3D Imaging ◽  
Single Photon ◽  
Signal To Noise Ratio ◽  
Photon Counting ◽  
Three Dimensional ◽  
Similarity Index ◽  
Signal To Noise ◽  
Single Photon Counting ◽  
Imaging Results ◽  
Noise Ratio

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.

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