2017
DOI: 10.1016/j.cbpa.2017.06.004
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Quantitative microscopy based on single-molecule fluorescence

Abstract: Quantitative microscopy is needed to understand reactions or phenomena carried out by biological molecules such as enzymes, receptors, and membrane-localized proteins. Counting the biomolecules of interest in single organelles or cellular compartments is critical in these approaches. In this brief perspective, we focus on the development of quantitative fluorescence microscopies that measure the precise copy numbers of proteins in cellular organelles or purified samples. We introduce recent improvements in qua… Show more

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Cited by 16 publications
(22 citation statements)
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“…Super-resolution imaging of RNaseE and ribosomal proteins ( Fig 5D) suggest that this energetic barrier exists for BR-bodies, as well (18). (133,134). A uniform or random spatial distribution of components within a compartment can also provide a benchmark for LLPS (1).…”
Section: Super-resolution Microscopy As a Tool To Assess Llps In Bactmentioning
confidence: 98%
“…Super-resolution imaging of RNaseE and ribosomal proteins ( Fig 5D) suggest that this energetic barrier exists for BR-bodies, as well (18). (133,134). A uniform or random spatial distribution of components within a compartment can also provide a benchmark for LLPS (1).…”
Section: Super-resolution Microscopy As a Tool To Assess Llps In Bactmentioning
confidence: 98%
“…A major advantage of the approach is its potential for use in living cells, especially for targets which are difficult-to-reach by extrinsic fluorescent markers or have precluded SMLM read-out channels due to low signal-to-noise/high background, e.g., arising from intracellular autofluorescence. Like all (sequential) SMLM techniques, our approach is limited by the temporal resolution needed for structural studies of abundant proteins but offers the read-out of two different proteins by intrinsic FP labels with excellent SMLM properties to measure their molecule dynamics within the same compartment or cell [ 25 ].…”
Section: Resultsmentioning
confidence: 99%
“…To convert fluorescence-based estimates into protein numbers not only autofluorescence and unspecific labeling must be considered by additional controls and calibration experiments but also labeling efficiency and stoichiometry as well as potential interference with sample structures. Among the most prominent SMFS counting methods [112][113][114][115][116] are fluorescence intensity quantification [8], photobleaching step counting [11,117,118], stochastic single-molecule based super-resolution microscopy (SMLM [10,[119][120][121], bSOFI [122] & qPAINT [123]), and quantification based on photon antibunching [124,125] (CoPS).…”
Section: Sample Preparationmentioning
confidence: 99%