2021
DOI: 10.1016/j.exer.2020.108394
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Visualization of different anatomical parts of the enucleated human eye using X-ray micro-CT imaging

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Cited by 10 publications
(20 citation statements)
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References 38 publications
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“…At least we could be able to differentiate types of tissues according to MGV at transversal slides of 3D reconstructions of corpora cavernosa, as shown in the study by Tkachev et al 42 Also, we suggest that nucleus-specific staining prior to micro-CT could enable appropriate 3D visualization of smooth muscle cells replacement in CF. 43 For direct penile density assessment, calibration phantoms with set density are needed.…”
Section: Discussionsupporting
confidence: 57%
See 3 more Smart Citations
“…At least we could be able to differentiate types of tissues according to MGV at transversal slides of 3D reconstructions of corpora cavernosa, as shown in the study by Tkachev et al 42 Also, we suggest that nucleus-specific staining prior to micro-CT could enable appropriate 3D visualization of smooth muscle cells replacement in CF. 43 For direct penile density assessment, calibration phantoms with set density are needed.…”
Section: Discussionsupporting
confidence: 57%
“…We believe that larger magnification and smaller voxel size can better visualize tissue remodeling during CF. At least we could be able to differentiate types of tissues according to MGV at transversal slides of 3D reconstructions of corpora cavernosa, as shown in the study by Tkachev et al 42 . Also, we suggest that nucleus‐specific staining prior to micro‐CT could enable appropriate 3D visualization of smooth muscle cells replacement in CF 43 .…”
Section: Discussionsupporting
confidence: 57%
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“…Micro-computed tomography (micro-CT) is the imaging method of choice when it comes to combine high-resolution imaging with 3D visualization in an adequate amount of time. As a consequence, micro-CT based imaging also finds its way more and more to ophthalmological anatomy (12)(13)(14)(15). Nonetheless, various challenges and obstacles accompany micro-CT based imaging.…”
Section: Introductionmentioning
confidence: 99%