scholarly journals Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation

2022 ◽  
Vol 39 (1) ◽  
pp. 25-31
Author(s):  
Philipp M. Pelz ◽  
Ian Johnson ◽  
Colin Ophus ◽  
Peter Ercius ◽  
Mary C. Scott
NeuroImage ◽  
2015 ◽  
Vol 122 ◽  
pp. 281-287 ◽  
Author(s):  
Liyong Chen ◽  
Alexander Beckett ◽  
Ajay Verma ◽  
David A. Feinberg

2021 ◽  
Vol 207 ◽  
pp. 108565
Author(s):  
Jinling Gao ◽  
Nesredin Kedir ◽  
Cody D. Kirk ◽  
Julio Hernandez ◽  
Junyu Wang ◽  
...  

2016 ◽  
Vol 18 (S1) ◽  
Author(s):  
Marina Quinlan ◽  
Shareen Jaijee ◽  
Antonio de Marvao ◽  
Pawel F Tokarczuk ◽  
J Simon R Gibbs ◽  
...  

2018 ◽  
Vol 9 (2) ◽  
pp. 623 ◽  
Author(s):  
Mikhail E. Kandel ◽  
Michael Fanous ◽  
Catherine Best-Popescu ◽  
Gabriel Popescu

2020 ◽  
Vol 64 (2) ◽  
pp. 20503-1-20503-5
Author(s):  
Faiz Wali ◽  
Shenghao Wang ◽  
Ji Li ◽  
Jianheng Huang ◽  
Yaohu Lei ◽  
...  

Abstract Grating-based x-ray phase-contrast imaging has the potential to enhance image quality and provide inner structure details non-destructively. In this work, using grating-based x-ray phase-contrast imaging system and employing integrating-bucket method, the quantitative expressions of signal-to-noise ratios due to photon statistics and mechanical error are analyzed in detail. Photon statistical noise and mechanical error are the main sources affecting the image noise in x-ray grating interferometry. Integrating-bucket method is a new phase extraction method translated to x-ray grating interferometry; hence, its image quality analysis would be of great importance to get high-quality phase image. The authors’ conclusions provide an alternate method to get high-quality refraction signal using grating interferometer, and hence increases applicability of grating interferometry in preclinical and clinical usage.


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