A Monte Carlo study on the spatial resolution of uncollimated β particles with silicon-based detectors for autoradiography

Cabello, J and Wells, K (2009) A Monte Carlo study on the spatial resolution of uncollimated β particles with silicon-based detectors for autoradiography

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Abstract

Traditional Autoradiography is an imaging modality used in life sciences where thin ex-vivo tissue sections are placed in direct contact with autoradiographic film. High resolution autoradiograms can be obtained using low energy radioisotopes, such as H where an intrinsic 0.1-1 μm spatial resolution can be achieved due to limited β- path length. Several digital alternatives have been presented in recent years to replace conventional film as the imaging medium, but the spatial resolution of film remains unmatched. Although silicon-based imaging technologies have demonstrated higher sensitivity compared to conventional film, the main issue that remains is spatial resolution. We address this here with an investigation into the design parameters that impact on spatial resolution when imaging uncollimated β-found in Autoradiography. The study considers Monte Carlo simulation of the energy deposition process, the charge diffusion process in silicon and the detector noise, and this is applied to a range of radioisotope β energies typically used in Autoradiography. Finally an optimal detector geometry to obtain the best possible spatial resolution for a specific technology and a specific radioisotope is suggested. ©2009 IEEE.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Name Email ORCID Cabello, J Wells, K
Date :	2009
DOI :	10.1109/NSSMIC.2009.5401625
Additional Information :	© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User :	Symplectic Elements
Date Deposited :	01 Apr 2014 13:44
Last Modified :	31 Oct 2017 16:38
URI:	http://epubs.surrey.ac.uk/id/eprint/805198

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