ArticleCells2023
Correlative Multi-Modal Microscopy: A Novel Pipeline for Optimizing Fluorescence Microscopy Resolutions in Biological Applications.
Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Endocytic Control of Cell-Autonomous and Non-Cell-Autonomous Functions of p53.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics.PloS one · 2026Article
- Automated Intelligent Microscopy for Phenotype Identification, Spatial Localization, and Retargeting of Cells.Methods in molecular biology (Clifton, N.J.) · 2026Article
- From Cell Populations to Molecular Complexes: Multiplexed Multimodal Microscopy to Explore p53-53BP1 Molecular Interaction.International journal of molecular sciences · 2024Article
- Single source CARS-based multimodal microscopy system for biological tissue imaging [Invited].Biomedical optics express · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
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.
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Registered trials
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