Guided-deconvolution for correlative light and electron microscopy
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997956/?tool=EBI |
| _version_ | 1811154317442285568 |
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| author | Fengjiao Ma Rainer Kaufmann Jaroslaw Sedzicki Zoltán Cseresnyés Christoph Dehio Stephanie Hoeppener Marc Thilo Figge Rainer Heintzmann |
| author_facet | Fengjiao Ma Rainer Kaufmann Jaroslaw Sedzicki Zoltán Cseresnyés Christoph Dehio Stephanie Hoeppener Marc Thilo Figge Rainer Heintzmann |
| author_sort | Fengjiao Ma |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T04:13:42Z |
| format | Article |
| id | doaj.art-543177ad40cb42d091d53fb79dfa3036 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T04:13:42Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-543177ad40cb42d091d53fb79dfa30362023-03-12T05:32:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183Guided-deconvolution for correlative light and electron microscopyFengjiao MaRainer KaufmannJaroslaw SedzickiZoltán CseresnyésChristoph DehioStephanie HoeppenerMarc Thilo FiggeRainer HeintzmannCorrelative 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997956/?tool=EBI |
| spellingShingle | Fengjiao Ma Rainer Kaufmann Jaroslaw Sedzicki Zoltán Cseresnyés Christoph Dehio Stephanie Hoeppener Marc Thilo Figge Rainer Heintzmann Guided-deconvolution for correlative light and electron microscopy PLoS ONE |
| title | Guided-deconvolution for correlative light and electron microscopy |
| title_full | Guided-deconvolution for correlative light and electron microscopy |
| title_fullStr | Guided-deconvolution for correlative light and electron microscopy |
| title_full_unstemmed | Guided-deconvolution for correlative light and electron microscopy |
| title_short | Guided-deconvolution for correlative light and electron microscopy |
| title_sort | guided deconvolution for correlative light and electron microscopy |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997956/?tool=EBI |
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