2008
DOI: 10.1016/j.nima.2008.09.015
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Fibre-optic coupling to high-resolution CCD and CMOS image sensors

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Cited by 13 publications
(14 citation statements)
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“…In this case, removal of the CMOS glass lid and positioning of the FOP directly on the pixel area may be investigated. 42 Moreover, validation of the system on skin-mimicking multilayer phantoms should be conducted. In order to further increase the sensitivity of diffuse reflectance spectra to superficial layers, several authors have explored the use of oblique illumination.…”
Section: Discussionmentioning
confidence: 99%
“…In this case, removal of the CMOS glass lid and positioning of the FOP directly on the pixel area may be investigated. 42 Moreover, validation of the system on skin-mimicking multilayer phantoms should be conducted. In order to further increase the sensitivity of diffuse reflectance spectra to superficial layers, several authors have explored the use of oblique illumination.…”
Section: Discussionmentioning
confidence: 99%
“…Bottom: the reconstructed cross-sectional image with the corresponding horizontal image profile (left inset) and the image obtained by exposing the X-ray camera directly to the beam (right inset). XBI parameters: L/D = 2, 50 mm copper foil, = 18.7 , CMOS detector with 7 mm pixels fibre-optically coupled with a Gd 2 O 2 S : Tb scintillator foil (van Silfhout & Kachatkou, 2008), integration time 0.25 s. position measurements by improving the SNR of the measured image profiles. Moreover, the resolution of beam position measurements can be increased even when using the cross aperture with the width of slits considerably smaller than the diameter of the pinhole.…”
Section: Discussionmentioning
confidence: 99%
“…First, one needs the XBI impulse response which can be calculated a priori for a given foil material, the detector and known device dimensions. The detector's PSF can be obtained from the manufacturer or measured separately ( van Silfhout & Kachatkou, 2008). The effect of the XBI impulse response is then removed by resorting to one of the well established deconvolution techniques (Jansson, 2012).…”
Section: Image Reconstructionmentioning
confidence: 99%
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