In:
PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 3 ( 2023-3-9), p. e0282803-
Abstract:
Correlative light and electron microscopy is a powerful tool to study the internal structure of cells. It combines the mutual benefit of correlating light (LM) and electron (EM) microscopy information. The EM images only contain contrast information. Therefore, some of the detailed structures cannot be specified from these images alone, especially when different cell organelle are contacted. However, the classical approach of overlaying LM onto EM images to assign functional to structural information is hampered by the large discrepancy in structural detail visible in the LM images. This paper aims at investigating an optimized approach which we call EM-guided deconvolution. This applies to living cells structures before fixation as well as previously fixed sample. It attempts to automatically assign fluorescence-labeled structures to structural details visible in the EM image to bridge the gaps in both resolution and specificity between the two imaging modes. We tested our approach on simulations, correlative data of multi-color beads and previously published data of biological samples.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0282803
DOI:
10.1371/journal.pone.0282803.g001
DOI:
10.1371/journal.pone.0282803.g002
DOI:
10.1371/journal.pone.0282803.g003
DOI:
10.1371/journal.pone.0282803.g004
DOI:
10.1371/journal.pone.0282803.g005
DOI:
10.1371/journal.pone.0282803.g006
DOI:
10.1371/journal.pone.0282803.g007
DOI:
10.1371/journal.pone.0282803.s001
DOI:
10.1371/journal.pone.0282803.s002
DOI:
10.1371/journal.pone.0282803.s003
DOI:
10.1371/journal.pone.0282803.s004
DOI:
10.1371/journal.pone.0282803.s005
DOI:
10.1371/journal.pone.0282803.s006
DOI:
10.1371/journal.pone.0282803.s007
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
2267670-3
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