Imaging of biological samples with silicon pixel detectors

Cappellini, C.; Bulgheroni, A.; Caccia, M.; Chmill, V.; Jastrzab, M.; Risigo, F.; Scopelliti, Pasquale Emanuele

doi:10.1016/j.nima.2008.03.021

Cited by 11 publications

(9 citation statements)

References 10 publications

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“…This is therefore the best case scenario for spatial resolution, if no post-processing techniques, such as centroiding or other algorithms (Cappellini et al 2008), are later applied to individual hits to improve spatial resolution.…”

Section: Intrinsic Spatial Resolutionmentioning

confidence: 99%

The spatial resolution of silicon-based electron detectors in β-autoradiography

Cabello¹,

Wells²

2010

Phys. Med. Biol.

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Abstract. Thin tissue autoradiography is an imaging modality where ex-vivo tissue sections are placed in direct contact with autoradiographic film. These tissue sections contain a radiolabelled ligand bound to a specific biomolecule under study. This radioligand emits β-or β+ particles ionising silver halide crystals in the film. High spatial resolution autoradiograms are obtained using low energy radioisotopes, such as 3 H where an intrinsic 0.1-1 µm spatial resolution can be achieved. Several digital alternatives have been presented over the past years to replace conventional film but their spatial resolution has yet to equal film, although silicon-based imaging technologies have demonstrated higher sensitivity compared to conventional film. It will be shown in this work how pixel size is a critical parameter for achieving high spatial resolution for low energy uncollimated beta imaging. In this work we also examine the confounding factors impeding silicon-based technologies with respect to spatial resolution. The study considers charge diffusion in silicon and detector noise, and this is applied to a range of radioisotopes 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.

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Section: Intrinsic Spatial Resolutionmentioning

confidence: 99%

The spatial resolution of silicon-based electron detectors in β-autoradiography

Cabello¹,

Wells²

2010

Phys. Med. Biol.

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“…This has led to the development of many different types of silicon based radiation sensors. Popular examples include PIN diodes [19], silicon strip detectors [47], silicon photomultipliers (SiPM) [48], hybrid detectors [10,11,49], charge coupled device (CCD) detectors [47], and complementary metal oxide semiconductor (CMOS) pixel sensors [50][51][52][53][54][55][56]. These sensors can be used to detect ionizing radiation directly provided the radiation is able to reach the sensitive volumes of the detectors.…”

Section: Silicon Radiation Detectorsmentioning

confidence: 99%

“…Some popular examples of 2D silicon detectors include MEDIPIX [10,11,49], MI-MOSA [50][51][52] and the MI3 Vanilla [53]. Other attempts at integrated sensors have also been made [54][55][56].…”

Section: Example Silicon Sensorsmentioning

confidence: 99%

“…Disadvantages include 55 µm granularity, lack of analog information and a 3 keV noise floor. [49] MIMOSA (Minimum Ionizing Particle MOS Active pixel) is a monolithic active pixel sensor in both front and back-illuminated varieties. It was implemented in a 0.6 µm CMOS process and an industrial partner handled back thinning the device.…”

Section: Example Silicon Sensorsmentioning

confidence: 99%

“…Disadvantages include large data volume, low duty cycle and non-trivial offline analysis. [49] Vanilla is a general purpose detector designed as part of the Multidimensional Integrated Intelligent Imaging Project (MI3) collaboration. It offers a 25 µm pixel size in a 520 × 520 array and is available in a standard or back-thinned variant.…”

Section: Example Silicon Sensorsmentioning

confidence: 99%

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