Neuroimaging with light field microscopy: a mini review of imaging systems

Author(s):  
Depeng Wang ◽  
Zhijing Zhu ◽  
Zhongyuan Xu ◽  
Diming Zhang
Keyword(s):  
2015 ◽  
Vol 52 (10) ◽  
pp. 101103
Author(s):  
刘永春 Liu Yongchun ◽  
龚华军 Gong Huajun ◽  
耿征 Geng Zheng ◽  
沈春林 Shen Chunlin ◽  
张赵行 Zhang Zhaoxing ◽  
...  

Author(s):  
Xiao Zhang

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.


2020 ◽  
pp. 108-115 ◽  
Author(s):  
Vladimir P. Budak ◽  
Anton V. Grimaylo

The article describes the role of polarisation in calculation of multiple reflections. A mathematical model of multiple reflections based on the Stokes vector for beam description and Mueller matrices for description of surface properties is presented. On the basis of this model, the global illumination equation is generalised for the polarisation case and is resolved into volume integration. This allows us to obtain an expression for the Monte Carlo method local estimates and to use them for evaluation of light distribution in the scene with consideration of polarisation. The obtained mathematical model was implemented in the software environment using the example of a scene with its surfaces having both diffuse and regular components of reflection. The results presented in the article show that the calculation difference may reach 30 % when polarisation is taken into consideration as compared to standard modelling.


2016 ◽  
Vol 136 (12) ◽  
pp. 522-531
Author(s):  
Yuta Ideguchi ◽  
Yuki Uranishi ◽  
Shunsuke Yoshimoto ◽  
Yoshihiro Kuroda ◽  
Masataka Imura ◽  
...  
Keyword(s):  

2018 ◽  
Vol 2018 (4) ◽  
pp. 142-1-142-5
Author(s):  
Hiroaki Yano ◽  
Tomohiro Yendo
Keyword(s):  

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