Correlative Multi-Modal Microscopy: A Novel Pipeline for Optimizing Fluorescence Microscopy Resolutions in Biological Applications.
confocal microscopy
fluorescence microscopy
image analysis
image cytometry
multi-modal microscopy
single molecule localization microscopy
Journal
Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052
Informations de publication
Date de publication:
17 01 2023
17 01 2023
Historique:
received:
30
11
2022
revised:
05
01
2023
accepted:
16
01
2023
entrez:
11
2
2023
pubmed:
12
2
2023
medline:
15
2
2023
Statut:
epublish
Résumé
The modern fluorescence microscope is the convergence point of technologies with different performances in terms of statistical sampling, number of simultaneously analyzed signals, and spatial resolution. However, the best results are usually obtained by maximizing only one of these parameters and finding a compromise for the others, a limitation that can become particularly significant when applied to cell biology and that can reduce the spreading of novel optical microscopy tools among research laboratories. Super resolution microscopy and, in particular, molecular localization-based approaches provide a spatial resolution and a molecular localization precision able to explore the scale of macromolecular complexes in situ. However, its use is limited to restricted regions, and consequently few cells, and frequently no more than one or two parameters. Correlative microscopy, obtained by the fusion of different optical technologies, can consequently surpass this barrier by merging results from different spatial scales. We discuss here the use of an acquisition and analysis correlative microscopy pipeline to obtain high statistical sampling, high content, and maximum spatial resolution by combining widefield, confocal, and molecular localization microscopy.
Identifiants
pubmed: 36766696
pii: cells12030354
doi: 10.3390/cells12030354
pmc: PMC9913119
pii:
doi:
Substances chimiques
Macromolecular Substances
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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