Beam and image experiment of beam deflection electron gun for distributed X-ray sources

Chengjun, Tan; Tang, Chuanxiang; Huang, Wenhui; Jin, Qingxiu; Du, Ying; Luo, Qun; Wu, Peidong; Liu, Donghai; Zhang, Luming; Xu, C. K.

doi:10.1007/s41365-019-0561-y

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Beam simulation results have been valuable for designing the beam module 34 and understanding the beam trajectory 53 as well as applied voltage 54 . The computer simulation helps to optimize and construct the electron beam configurations in the diode and triode systems.…”

Section: Resultsmentioning

confidence: 99%

Optimization of vertically aligned carbon nanotube beam trajectory with the help of focusing electrode in the microchannel plate

Adhikari,

Ketan,

Patil

et al. 2023

Sci Rep

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The focusing electrode plays an important role to reduce the electron beam trajectory with low dispersion and high brightness. This article summarizes the importance of the vertically aligned multi-walled carbon nanotube effect with the focusing electrode. First of all, the effect of electron beam trajectory is studied with the different heights, hole sizes, and applied voltage of the focusing electrode by the opera 3D simulation. The field emission electron beam spot is captured in the microchannel plate which helps to reduce the signal noise effect and damage of CNT tips by the joule heating effect. The high-dense bright spot is optimized at the focusing electrode hole size of 2 mm, and the height of 1 mm from the gate mesh electrode at the low bias voltage of − 200 V without the loss of current. The FWHM of the electron beam is calculated 0.9 mm with its opening angle of 0.9° which could be applicable in high-resolution multi-electron beam microscopy and nano-focused X-ray system technology.

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Section: Resultsmentioning

confidence: 99%

Optimization of vertically aligned carbon nanotube beam trajectory with the help of focusing electrode in the microchannel plate

Adhikari,

Ketan,

Patil

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Beam simulation results have been valuable for designing the beam module 48 and understanding the beam trajectory 49 as well as applied voltage 50 . The computer simulation helps to optimize and construct the electron beam con gurations in the diode and triode systems.…”

Section: Beam Spot Analysis With Simulationmentioning

confidence: 99%

Optimization of vertically aligned carbon nanotube beam trajectory with the help of focusing electrode in the microchannel plate

Adhikari

Bhotkar

Patil

et al. 2023

Preprint

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The focusing electrode plays an important role to reduce the electron beam trajectory with low dispersion and high brightness. This article summarizes the importance of the vertically aligned multi-walled carbon nanotube effect with the focusing electrode. First of all, the effect of electron beam trajectory is studied with the different heights, hole sizes, and applied voltage of the focusing electrode by the opera 3D simulation. The field emission electron beam spot is captured in the microchannel plate which helps to reduce the signal noise effect and damage of CNT tips by the joule heating effect. The high-dense bright spot is optimized at the focusing electrode hole size of 2 mm, and the height of 1 mm from the gate mesh electrode at the low bias voltage of -200 V without the loss of current. The FWHM of the electron beam is calculated 0.9 mm with its opening angle of 0.90 which could be applicable in high-resolution multi-electron beam microscopy and nano-focused X-ray system technology.

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“…The random projection collection protocol allows to demonstrate the monitored reconstruction effects more clearly, while still remaining realistic. For example, such a sampling protocol could be supported with electron beam computed tomography (EBCT) set-ups [60]. After taking the next five projection the partial reconstruction was performed using the FBP method.…”

Section: B Evaluating Partial Reconstructionsmentioning

confidence: 99%

Monitored Reconstruction: Computed Tomography as an Anytime Algorithm

et al. 2020

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Computed tomography is an important technique for non-destructive analysis of an object's internal structure, relevant for scientific studies, medical applications, and industry. Pressing challenges emerging in the field of tomographic imaging include speeding up reconstruction, reducing the time required to obtain the X-ray projections, and reducing the radiation dose imparted to the object. In this paper, we introduce a model of a monitored reconstruction process, in which the acquiring of projections is interspersed with image reconstruction. This model allows to examine the tomographic reconstruction process as an anytime algorithm and consider a problem of finding the optimal stopping point, corresponding to the required number of X-ray projections for the currently scanned object. We outline the theoretical framework for the monitored reconstruction, propose ways of constructing stopping rules for various reconstruction quality metrics and provide their experimental evaluation. Due to stopping at different times for different objects, the proposed approach allows to achieve a higher mean reconstruction quality for a given mean number of X-ray projections. Conversely, fewer projections on average are used to achieve the same mean reconstruction quality. INDEX TERMS Anytime algorithms, computed tomography, dose reduction, monitored reconstruction, optimal stopping, x-ray tomography.

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Beam and image experiment of beam deflection electron gun for distributed X-ray sources

Cited by 7 publications

References 24 publications

Optimization of vertically aligned carbon nanotube beam trajectory with the help of focusing electrode in the microchannel plate

Optimization of vertically aligned carbon nanotube beam trajectory with the help of focusing electrode in the microchannel plate

Optimization of vertically aligned carbon nanotube beam trajectory with the help of focusing electrode in the microchannel plate

Monitored Reconstruction: Computed Tomography as an Anytime Algorithm

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