Imaging of Mouse Brain Fixated in Ethanol in Micro-CT

Mrzílková, Jana; Patzelt, Matej; Gallina, Pasquale; Wurst, Zdeněk; Šeremeta, Martin; Dudák, Jan; Krejci, F.; Žemlička, J.; Musil, Vladimír; Karch, Jakub; Rosina, Jozef; Zach, Petr

doi:10.1155/2019/2054262

Cited by 7 publications

(9 citation statements)

References 29 publications

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“…Additionally, lesion registration to a specific sub-anatomical brain structure can further be linked to functional consequences 19 . Taking advantage of the serial section aligner QuickNII® software/tool that has the mouse (C56BL7) anatomical brain area identified and annotated according to the Allen Mouse Brain Atlas 58 59 , high resolution micro-CT mouse brain sections can be associated to the corresponding brain region. We aligned images of a stroke model, 45min tMCAO mice model (24 h reperfusion), with the serial section aligner QuickNII ® tool ( Fig.…”

Section: Resultsmentioning

confidence: 99%

“…We aligned images of a stroke model, 45min tMCAO mice model (24 h reperfusion), with the serial section aligner QuickNII ® tool ( Fig. 9A-C ), and identified the infarct affected anatomical areas 58 59 ( Table 2 ). The most sensitive anatomical area to ischemia in our model was the caudate putamen, which was altered after ischemic periods as small as 10 minutes.…”

Section: Resultsmentioning

confidence: 99%

“…9 ). As a matter of fact, affected areas can be correlated with the deficits that the mice presented within functional tests and compared to human patient condition 19 59 . Nevertheless, registrations of ischemic lesions in stroke models to brain atlas has only been previously performed on MRI images 19 , and as mentioned, MRI images are prone to distortion.…”

Section: Discussionmentioning

confidence: 99%

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High resolution micro-CT imaging in mice stroke models: from 3D detailed infarct characterization to automatic area segmentation

Pinto

Matula

Gómez-Lázaro

et al. 2022

Preprint

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Characterization of brain infarct lesion in rodent models of stroke is crucial to assess the outcome of stroke therapies and to study the disease pathophysiology. However, so far it has been mostly performed by: 1) histological methods, a time-consuming process that lead to significant flaws and tissue distortion; or 2) via MRI imaging, which is faster, yielding 3D information but at high costs. High-resolution micro-CT imaging became, in the last decade, a simple, fast, and cheaper solution, allowing 3D analysis of samples. Here, we describe that high-resolution micro-CT, either using iodine/OsO4 as contrast agents, can be successfully applied for fine quantification and localization of lesion size and edema volume in preclinical stroke models. We successfully correlated this new approach with the standard histological method TTC. In transient MCAO mouse stroke model, we were able to identify/quantify large lesioned areas (segmented in core and penumbra), up to degenerated finer striatal myelinated fibers in a transient ischemic attack (TIA) mouse model, at different timepoints post-ischemia, through manual and automatic segmentation approaches (deep learning). Furthermore, 3D reconstructions of the whole brain allow for brain atlas co-registration of the specific affected brain areas. Hence, the presented methodology, through iodine/OsO4 micro-CT imaging, constitutes a valuable advance in tools for precise and detailed assessment of stroke outcomes in preclinical animal studies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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High resolution micro-CT imaging in mice stroke models: from 3D detailed infarct characterization to automatic area segmentation

Pinto

Matula

Gómez-Lázaro

et al. 2022

Preprint

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“…The presented data have been acquired using a custom adapted MARS micro-CT scanner. The parameters of the used system were described in details in our previous publications [8][9][10]. The system is equipped with a Kevex™ PXS-11 X-ray tube and Timepix detector in Quad configuration (four read-out chips with a common 300 μm thick silicon sensor providing a sensitive area of 28 × 28 mm) housed in a rotating gantry.…”

Section: 2mentioning

confidence: 99%

Morphology of the Vasculature and Blood Supply of the Brown Adipose Tissue Examined in an Animal Model by Micro-CT

Mrzílková

Michenka

Šeremeta

et al. 2020

BioMed Research International

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We performed micro-CT imaging of the vascular blood supply in the interscapular area of the brown adipose tissue in three mice with the use of intravascular contrast agent Aurovist™. Resulting 3D data rendering was then adapted into 2D resolution with visualization using false color system and grayscale images. These were then studied for the automatic quantification of the blood vessel density within this area. We found the highest most occurring density within arterioles or venules representing smaller blood vessels whereas with the increase of the vessel diameters a lower percentage rate of their presence was observed in the sample. Our study shows that micro-CT scanning in combination with Aurovist™ contrast is suitable for anatomical studies of interscapular area of brown adipose tissue blood vessel supply.

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“…Our preliminary study revealed significant improvement of the image contrast with ethanol fixation of the brain tissue; in particular, white matter tracts could be more clearly visualized (9). Micro-CT absorption imaging of EF mouse brains has also been described (11); however, according to reports, only neuroanatomical structures of the gray and white matter can be identified by this technique.…”

Section: Introductionmentioning

confidence: 99%

White matter imaging of ethanol-fixed rat brain by phase-contrast X-ray computed tomography

et al. 2021

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Background Phase-contrast X-ray computed tomography imaging (PCI) based on crystal X-ray interferometry can detect minute density differences within biological soft tissues without contrast agents. Ethanol fixation yields increased tissue-background density differences due to the dehydrating and delipidifying effects of ethanol. Purpose To obtain high image contrast of cerebral white matter structures in PCI, tissue fixation using ethanol and routinely used formalin have been examined. Material and Methods Ethanol-fixed (EF) (n = 4) and formalin-fixed (FF) (n = 4) rat brains were imaged by crystal X-ray interferometry-based PCI. Tissue staining/microscopy was also performed for histological comparison and myelin density evaluation. Three-dimensional white matter tract images were reconstructed. Results Superior image contrast was obtained in the images of EF brains (EF images) compared to those of formalin-fixed brains (FF images), particularly for white matter structures. Significant density differences between the white matter structures and hippocampus ( P < 0.01)/thalamus ( P < 0.001) were observed in the EF, but not FF, images. Ethanol fixation enhanced the image contrast of white matter tracts by approximately sixfold compared to formalin fixation, and close agreement (r2 = 0.97; P < 0.05) between the density values on the CT images and the myelin density values in histological images was observed for the EF brains. Three-dimensional reconstruction of the white matter tracts was possible from the EF images, but not FF images. Conclusion Ethanol fixation resulted in marked contrast enhancement of cerebral white matter structures in PCI. Thus, high-resolution PCI using ethanol for tissue fixation could be valuable for experimental neurological studies and postmortem neuropathology evaluation.

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Imaging of Mouse Brain Fixated in Ethanol in Micro-CT

Cited by 7 publications

References 29 publications

High resolution micro-CT imaging in mice stroke models: from 3D detailed infarct characterization to automatic area segmentation

High resolution micro-CT imaging in mice stroke models: from 3D detailed infarct characterization to automatic area segmentation

Morphology of the Vasculature and Blood Supply of the Brown Adipose Tissue Examined in an Animal Model by Micro-CT

White matter imaging of ethanol-fixed rat brain by phase-contrast X-ray computed tomography

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