Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections
Critical determinants of synaptic functions include subcellular locations, input sources, and specific molecular characteristics. However, there is not yet a reliable and efficient method that can detect synapses. Electron microscopy is a gold-standard method to detect synapses due to its exceedingl...
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2021
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oai:doaj.org-article:cb1a4ea44e194d7fb59b5baeb573ce012021-11-15T06:44:14ZEfficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections1662-512910.3389/fnana.2021.759816https://doaj.org/article/cb1a4ea44e194d7fb59b5baeb573ce012021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnana.2021.759816/fullhttps://doaj.org/toc/1662-5129Critical determinants of synaptic functions include subcellular locations, input sources, and specific molecular characteristics. However, there is not yet a reliable and efficient method that can detect synapses. Electron microscopy is a gold-standard method to detect synapses due to its exceedingly high spatial resolution. However, it requires laborious and time-consuming sample preparation and lengthy imaging time with limited labeling methods. Recent advances in various fluorescence microscopy methods have highlighted fluorescence microscopy as a substitute for electron microscopy in reliable synapse detection in a large volume of neural circuits. In particular, array tomography has been verified as a useful tool for neural circuit reconstruction. To further improve array tomography, we developed a novel imaging method, called “structured illumination microscopy on the putative region of interest on ultrathin sections”, which enables efficient and accurate detection of synapses-of-interest. Briefly, based on low-magnification conventional fluorescence microscopy images, synapse candidacy was determined. Subsequently, the coordinates of the regions with candidate synapses were imaged using super-resolution structured illumination microscopy. Using this system, synapses from the high-order thalamic nucleus, the posterior medial nucleus in the barrel cortex were rapidly and accurately imaged.Gyeong Tae KimGyeong Tae KimSangkyu BahnNari KimJoon Ho ChoiJinseop S. KimJinseop S. KimJong-Cheol RahJong-Cheol RahFrontiers Media S.A.articlestructured illumination microscopyarray tomographysynapse locationposterior medial nucleusbarrel cortexNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Human anatomyQM1-695ENFrontiers in Neuroanatomy, Vol 15 (2021) |
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structured illumination microscopy array tomography synapse location posterior medial nucleus barrel cortex Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Human anatomy QM1-695 |
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structured illumination microscopy array tomography synapse location posterior medial nucleus barrel cortex Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Human anatomy QM1-695 Gyeong Tae Kim Gyeong Tae Kim Sangkyu Bahn Nari Kim Joon Ho Choi Jinseop S. Kim Jinseop S. Kim Jong-Cheol Rah Jong-Cheol Rah Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections |
description |
Critical determinants of synaptic functions include subcellular locations, input sources, and specific molecular characteristics. However, there is not yet a reliable and efficient method that can detect synapses. Electron microscopy is a gold-standard method to detect synapses due to its exceedingly high spatial resolution. However, it requires laborious and time-consuming sample preparation and lengthy imaging time with limited labeling methods. Recent advances in various fluorescence microscopy methods have highlighted fluorescence microscopy as a substitute for electron microscopy in reliable synapse detection in a large volume of neural circuits. In particular, array tomography has been verified as a useful tool for neural circuit reconstruction. To further improve array tomography, we developed a novel imaging method, called “structured illumination microscopy on the putative region of interest on ultrathin sections”, which enables efficient and accurate detection of synapses-of-interest. Briefly, based on low-magnification conventional fluorescence microscopy images, synapse candidacy was determined. Subsequently, the coordinates of the regions with candidate synapses were imaged using super-resolution structured illumination microscopy. Using this system, synapses from the high-order thalamic nucleus, the posterior medial nucleus in the barrel cortex were rapidly and accurately imaged. |
format |
article |
author |
Gyeong Tae Kim Gyeong Tae Kim Sangkyu Bahn Nari Kim Joon Ho Choi Jinseop S. Kim Jinseop S. Kim Jong-Cheol Rah Jong-Cheol Rah |
author_facet |
Gyeong Tae Kim Gyeong Tae Kim Sangkyu Bahn Nari Kim Joon Ho Choi Jinseop S. Kim Jinseop S. Kim Jong-Cheol Rah Jong-Cheol Rah |
author_sort |
Gyeong Tae Kim |
title |
Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections |
title_short |
Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections |
title_full |
Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections |
title_fullStr |
Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections |
title_full_unstemmed |
Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections |
title_sort |
efficient and accurate synapse detection with selective structured illumination microscopy on the putative regions of interest of ultrathin serial sections |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/cb1a4ea44e194d7fb59b5baeb573ce01 |
work_keys_str_mv |
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