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Erschienen in: Brain Structure and Function 5/2019

22.03.2019 | Methods Paper

PICS: a platform for planar imaging of curved surfaces of brain and other tissue

verfasst von: Jessica L. Scoggin, Benjamin S. Kemp, Daniel A. Rivera, Teresa A. Murray

Erschienen in: Brain Structure and Function | Ausgabe 5/2019

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Abstract

Optical imaging of wholemount tissue samples provides greater understanding of structure–function relationships as the architecture of these specimens is generally well preserved. However, difficulties arise when attempting to stitch together images of multiple regions of larger, oddly shaped specimens. These difficulties include (1) maintaining consistent signal-to-noise ratios when the overlying sample surface is uneven, (2) ensuring sample viability when live samples are required, and (3) stabilizing the specimen in a fixed position in a flowing medium without distorting the tissue sample. To address these problems, we designed a simple and cost-efficient device that can be 3D-printed and machined. The design for the device, named the Platform for Planar Imaging of Curved Surfaces (PICS), consists of a sample holder, or “cap” with gaps for fluid flow and a depression for securing the sample in a fixed position without glue or pins, a basket with two arms that move along an external radius to rotate the sample around a central axis, and a customizable platform designed to fit on a commercially available temperature control system for slice electrophysiology. We tested the system using wholemounts of the murine subventricular zone (SVZ), which has a high degree of curvature, to assess sample viability and image quality through cell movement for over an hour for each sample. Using the PICS system, tissues remained viable throughout the imaging sessions, there were no noticeable decreases in the image SNR across an imaging plane, and there was no noticeable displacement of the specimen due to fluid flow.
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Metadaten
Titel
PICS: a platform for planar imaging of curved surfaces of brain and other tissue
verfasst von
Jessica L. Scoggin
Benjamin S. Kemp
Daniel A. Rivera
Teresa A. Murray
Publikationsdatum
22.03.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Brain Structure and Function / Ausgabe 5/2019
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-019-01861-5

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