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@ARTICLE{Micheva:271283,
author = {Micheva, Kristina D and Burden, Jemima J and Schifferer,
Martina},
title = {{A}rray tomography: trails to discovery.},
volume = {1},
number = {1},
reportid = {DZNE-2024-01022},
pages = {9 - 17},
year = {2024},
note = {Missing Journal: Methods in Microscopy () = 2942-3899
(import from CrossRef, PubMed, , Journals: pub.dzne.de)},
abstract = {Tissue slicing is at the core of many approaches to
studying biological structures. Among the modern volume
electron microscopy (vEM) methods, array tomography (AT) is
based on serial ultramicrotomy, section collection onto
solid support, imaging via light and/or scanning electron
microscopy, and re-assembly of the serial images into a
volume for analysis. While AT largely uses standard EM
equipment, it provides several advantages, including
long-term preservation of the sample and compatibility with
multi-scale and multi-modal imaging. Furthermore, the
collection of serial ultrathin sections improves axial
resolution and provides access for molecular labeling, which
is beneficial for light microscopy and immunolabeling, and
facilitates correlation with EM. Despite these benefits, AT
techniques are underrepresented in imaging facilities and
labs, due to their perceived difficulty and lack of training
opportunities. Here we point towards novel developments in
serial sectioning and image analysis that facilitate the AT
pipeline, and solutions to overcome constraints. Because no
single vEM technique can serve all needs regarding field of
view and resolution, we sketch a decision tree to aid
researchers in navigating the plethora of options available.
Lastly, we elaborate on the unexplored potential of AT
approaches to add valuable insight in diverse biological
fields.},
keywords = {ATUM (Other) / array tomography (Other) / light microscopy
(Other) / serial sectioning (Other) / ultramicrotomy (Other)
/ volume electron microscopy (Other)},
cin = {AG Misgeld},
cid = {I:(DE-2719)1110000-4},
pnm = {351 - Brain Function (POF4-351)},
pid = {G:(DE-HGF)POF4-351},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:39119254},
pmc = {pmc:PMC11308915},
doi = {10.1515/mim-2024-0001},
url = {https://pub.dzne.de/record/271283},
}