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Serial sectioning for examination of photoreceptor cell architecture by focused ion beam technology

Mustafi, D. and Avishai, A. and Avishai, N. and Engel, A. and Heuer, A. and Palczewski, K.. (2011) Serial sectioning for examination of photoreceptor cell architecture by focused ion beam technology. Journal of neuroscience methods, Vol. 198, no. 1. pp. 70-76.

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Official URL: http://edoc.unibas.ch/dok/A6002477

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Abstract

Structurally deciphering complex neural networks requires technology with sufficient resolution to allow visualization of single cells and their intimate surrounding connections. Scanning electron microscopy (SEM), coupled with serial ion ablation (SIA) technology, presents a new avenue to study these networks. SIA allows ion ablation to remove nanometer sections of tissue for SEM imaging, resulting in serial section data collection for three-dimensional reconstruction. Here we highlight a method for preparing retinal tissues for imaging of photoreceptors by SIA-SEM technology. We show that this technique can be used to visualize whole rod photoreceptors and the internal disc elements from wild-type (wt) mice. The distance parameters of the discs and photoreceptors are in good agreement with previous work with other methods. Moreover, we show that large planes of retinal tissue can be imaged at high resolution to display the packing of normal rods. Finally, SIA-SEM imaging of retinal tissue from a mouse model (Nrl/) with phenotypic changes akin to the human disease enhanced S-cone syndrome (ESCS) revealed a structural profile of overall photoreceptor ultrastructure and internal elements that accompany this disease. Overall, this work presents a new method to study photoreceptor cells at high structural resolution that has a broad applicability to the visual neuroscience field.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Former Organization Units Biozentrum > Structural Biology (Engel)
UniBasel Contributors:Engel, Andreas H
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Elsevier
ISSN:0165-0270
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:11 Oct 2012 15:31
Deposited On:11 Oct 2012 15:16

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