Open Access
1 March 2005 Method for three-dimensional visualization of neurodegeneration in cupric-silver stained serial rat brain slices
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Abstract
The spatial distribution of neurodegeneration in brains is difficult to visualize when working from 2-D serial slices. In studies where repetitive operant behavior measurements are made over several weeks following organic solvent exposure, definitive evidence of degeneration in brain structures may have been significantly cleared by the time the tissue is prepared histologically. The only remaining evidence that injury has occurred may be nothing more than neuronal and cellular debris. By choosing stains that are specific for this type of residual and/or indicative of specific pathology, a 3-D representation of the spatial distribution of the neuronal and cellular debris fields within the organ can be highlighted and displayed. We present a method for visualizing the spatial distribution of neuronal degeneration that can result from low-level organic solvent exposure scenarios. A cupric-silver stain highly specific for neuronal degeneration is used to identify neuronal debris fields in 73 serial slices of brains of rodents that were exposed to toluene vapors. Serial brain sections stained with cupric-silver are scanned at 600 dpi using a gray-scale protocol. Using commercially available software, scans are assembled into 3-D images showing both topographical and internal anatomical details. The reassembled images are further processed into stereo pairs. Gray-scale scans are compared to the original sections to establish gray-scale ranges for healthy and damaged tissue and artifact staining.
©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Leonid Bunegin, Gleb P. Tolstykh M.D., and Jerry F. Gelineau "Method for three-dimensional visualization of neurodegeneration in cupric-silver stained serial rat brain slices," Journal of Biomedical Optics 10(2), 024012 (1 March 2005). https://doi.org/10.1117/1.1896006
Published: 1 March 2005
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KEYWORDS
Brain

Tissues

Visualization

3D image processing

Neuroimaging

Neurodegeneration

Statistical analysis

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