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Finding Needles in a Haystack with Light: Resolving the Microcircuitry of the Brain with Fluorescence MicroscopyFinding Needles in a Haystack with Light: Resolving the Microcircuitry of the Brain with Fluorescence Microscopy

Other Titles
Finding Needles in a Haystack with Light: Resolving the Microcircuitry of the Brain with Fluorescence Microscopy
Authors
라종철최준호
Issue Date
Feb-2022
Publisher
한국분자세포생물학회
Keywords
activity markers; circuit reconstruction; connectome; electron microscopy; microcircuitry; superresolution microscopy
Citation
Molecules and Cells, v.45, no.2, pp.84 - 92
Journal Title
Molecules and Cells
Volume
45
Number
2
Start Page
84
End Page
92
URI
http://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/250
DOI
10.14348/molcells.2022.2021
ISSN
1016-8478
Abstract
To understand the microcircuitry of the brain, the anatomical and functional connectivity among neurons must be resolved. One of the technical hurdles to achieving this goal is that the anatomical connections, or synapses, are often smaller than the diffraction limit of light and thus are difficult to resolve by conventional microscopy, while the microcircuitry of the brain is on the scale of 1 mm or larger. To date, the gold standard method for microcircuit reconstruction has been electron microscopy (EM). However, despite its rapid development, EM has clear shortcomings as a method for microcircuit reconstruction. The greatest weakness of this method is arguably its incompatibility with functional and molecular analysis. Fluorescence microscopy, on the other hand, is readily compatible with numerous physiological and molecular analyses. We believe that recent advances in various fluorescence microscopy techniques offer a new possibility for reliable synapse detection in large volumes of neural circuits. In this minireview, we summarize recent advances in fluorescence-based microcircuit reconstruction. In the same vein as these studies, we introduce our recent efforts to analyze the long-range connectivity among brain areas and the subcellular distribution of synapses of interest in relatively large volumes of cortical tissue with array tomography and superresolution microscopy.
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