Source 1primary paper2018Nanophotonics
Toolkit/single molecule localization microscopy
single molecule localization microscopy
Also known as: SMLM
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
fenestrations were only discernible with EM, but now they can be visualized ... in fixed cells using single molecule localization microscopy (SMLM) techniques such as direct stochastic optical reconstruction microscopy
Usefulness & Problems
Why this is useful
SMLM is presented as a super-resolution fluorescence microscopy technique used to investigate cellular structures at nanoscale resolution. The review emphasizes methodological developments for quantifying SMLM-derived data.; super-resolution fluorescence imaging; quantitative analysis of nanoscale cellular structures; downstream quantification workflows; SMLM localizes individual fluorescent molecules from diffraction-limited image sequences to reconstruct super-resolution images, time-resolved super-resolution image series, or molecular trajectories.; super-resolution imaging; imaging biological structures at molecular scale; generating molecular trajectories; extracting quantitative information from image sequences; SMLM is described in the supplied summary as the umbrella class for localization-based super-resolution techniques discussed around the anchor review.; organizing localization-based super-resolution methods; super-resolution imaging technique selection; Single molecule localization microscopy is described as a nanoscopy approach for visualizing LSEC fenestrations in fixed cells. The abstract names it as a complementary optical method to SIM.; visualizing liver sinusoidal endothelial cell fenestrations in fixed cells; Single-molecule localization microscopy is identified as one of the optical microscopy approaches covered in the review for correlative use with AFM.; serving as an optical microscopy component in correlative AFM workflows; SMLM is a localization-based super-resolution microscopy approach used here in a quantitative framing. The supplied summary indicates the review focuses on how localization datasets can be analyzed for counting and spatial organization while managing major error sources.; quantitative super-resolution imaging; single-molecule localization-based analysis
Source:
SMLM is presented as a super-resolution fluorescence microscopy technique used to investigate cellular structures at nanoscale resolution. The review emphasizes methodological developments for quantifying SMLM-derived data.
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super-resolution fluorescence imaging
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quantitative analysis of nanoscale cellular structures
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downstream quantification workflows
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SMLM localizes individual fluorescent molecules from diffraction-limited image sequences to reconstruct super-resolution images, time-resolved super-resolution image series, or molecular trajectories.
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super-resolution imaging
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imaging biological structures at molecular scale
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generating molecular trajectories
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extracting quantitative information from image sequences
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SMLM is described in the supplied summary as the umbrella class for localization-based super-resolution techniques discussed around the anchor review.
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organizing localization-based super-resolution methods
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super-resolution imaging technique selection
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Single molecule localization microscopy is described as a nanoscopy approach for visualizing LSEC fenestrations in fixed cells. The abstract names it as a complementary optical method to SIM.
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visualizing liver sinusoidal endothelial cell fenestrations in fixed cells
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Single-molecule localization microscopy is identified as one of the optical microscopy approaches covered in the review for correlative use with AFM.
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serving as an optical microscopy component in correlative AFM workflows
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SMLM is a localization-based super-resolution microscopy approach used here in a quantitative framing. The supplied summary indicates the review focuses on how localization datasets can be analyzed for counting and spatial organization while managing major error sources.
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quantitative super-resolution imaging
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single-molecule localization-based analysis
Problem solved
It helps extract nanoscale structural information from light microscopy data and supports quantitative analysis of underlying biological organization.; enables investigation of cellular structures at nanoscale resolution using light; provides a basis for quantitative super-resolution data analysis; It addresses the spatial-resolution limits of standard diffraction-limited microscopy and enables imaging of biological structures at molecular scale.; overcomes diffraction-limited spatial resolution in fluorescence microscopy; It helps frame and compare localization-based methods within the broader super-resolution landscape.; provides an umbrella framework for localization-based super-resolution imaging; It enables optical observation of fenestrations that had previously been discernible only by electron microscopy. Because wet samples are used, it avoids dehydration artifacts highlighted for EM.; provides an optical nanoscopy route to visualize fenestrations previously discernible only with electron microscopy; avoids dehydration artifacts by using wet samples; In the review's framing, it helps supply optical specificity or complementary information missing from AFM alone.; provides complementary optical information when paired with AFM; It enables quantitative extraction of information from localization microscopy beyond qualitative imaging alone. The review scope specifically centers on making SMLM measurements more reliable for counting and spatial analysis.; extracting quantitative information from localization microscopy data
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It helps extract nanoscale structural information from light microscopy data and supports quantitative analysis of underlying biological organization.
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enables investigation of cellular structures at nanoscale resolution using light
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provides a basis for quantitative super-resolution data analysis
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It addresses the spatial-resolution limits of standard diffraction-limited microscopy and enables imaging of biological structures at molecular scale.
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overcomes diffraction-limited spatial resolution in fluorescence microscopy
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It helps frame and compare localization-based methods within the broader super-resolution landscape.
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provides an umbrella framework for localization-based super-resolution imaging
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It enables optical observation of fenestrations that had previously been discernible only by electron microscopy. Because wet samples are used, it avoids dehydration artifacts highlighted for EM.
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provides an optical nanoscopy route to visualize fenestrations previously discernible only with electron microscopy
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avoids dehydration artifacts by using wet samples
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In the review's framing, it helps supply optical specificity or complementary information missing from AFM alone.
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provides complementary optical information when paired with AFM
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It enables quantitative extraction of information from localization microscopy beyond qualitative imaging alone. The review scope specifically centers on making SMLM measurements more reliable for counting and spatial analysis.
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extracting quantitative information from localization microscopy data
Problem links
SMLM is a super-resolution fluorescence method and therefore plausibly relevant to achieving nanoscale information without resorting to destructive electron microscopy. The metadata includes both fixed-cell support and a live-cell hint, so it may be testable for repeated live measurements in some contexts.
avoids dehydration artifacts by using wet samples
LiteratureIt enables optical observation of fenestrations that had previously been discernible only by electron microscopy. Because wet samples are used, it avoids dehydration artifacts highlighted for EM.
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It enables optical observation of fenestrations that had previously been discernible only by electron microscopy. Because wet samples are used, it avoids dehydration artifacts highlighted for EM.
enables investigation of cellular structures at nanoscale resolution using light
LiteratureIt helps extract nanoscale structural information from light microscopy data and supports quantitative analysis of underlying biological organization.
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It helps extract nanoscale structural information from light microscopy data and supports quantitative analysis of underlying biological organization.
extracting quantitative information from localization microscopy data
LiteratureIt enables quantitative extraction of information from localization microscopy beyond qualitative imaging alone. The review scope specifically centers on making SMLM measurements more reliable for counting and spatial analysis.
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It enables quantitative extraction of information from localization microscopy beyond qualitative imaging alone. The review scope specifically centers on making SMLM measurements more reliable for counting and spatial analysis.
overcomes diffraction-limited spatial resolution in fluorescence microscopy
LiteratureIt addresses the spatial-resolution limits of standard diffraction-limited microscopy and enables imaging of biological structures at molecular scale.
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It addresses the spatial-resolution limits of standard diffraction-limited microscopy and enables imaging of biological structures at molecular scale.
provides a basis for quantitative super-resolution data analysis
LiteratureIt helps extract nanoscale structural information from light microscopy data and supports quantitative analysis of underlying biological organization.
Source:
It helps extract nanoscale structural information from light microscopy data and supports quantitative analysis of underlying biological organization.
provides an optical nanoscopy route to visualize fenestrations previously discernible only with electron microscopy
LiteratureIt enables optical observation of fenestrations that had previously been discernible only by electron microscopy. Because wet samples are used, it avoids dehydration artifacts highlighted for EM.
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It enables optical observation of fenestrations that had previously been discernible only by electron microscopy. Because wet samples are used, it avoids dehydration artifacts highlighted for EM.
provides an umbrella framework for localization-based super-resolution imaging
LiteratureIt helps frame and compare localization-based methods within the broader super-resolution landscape.
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It helps frame and compare localization-based methods within the broader super-resolution landscape.
provides complementary optical information when paired with AFM
LiteratureIn the review's framing, it helps supply optical specificity or complementary information missing from AFM alone.
Source:
In the review's framing, it helps supply optical specificity or complementary information missing from AFM alone.
Published Workflows
Objective: Perform single-molecule localization microscopy to reconstruct super-resolution images or extract quantitative information from diffraction-limited image sequences in fixed and live cells.
Why it works: The workflow works by localizing individual fluorescent molecules from diffraction-limited image sequences and using those localizations to reconstruct super-resolution images or trajectories.
computational localization of individual fluorescent molecules from diffraction-limited image sequencesfluorescent labellingsample preparationimage acquisitioncomputational image processing
Stages
- 1.Experimental preparation for SMLM(library_build)
The abstract identifies fluorescent labelling and sample preparation as main experimental considerations when performing SMLM.
Selection: Preparation of labelled samples suitable for SMLM acquisition
- 2.Image acquisition in fixed and live cells(functional_characterization)
Image acquisition provides the low-resolution image sequences that are later computationally processed for SMLM reconstruction.
Selection: Acquire diffraction-limited image sequences for downstream localization analysis
- 3.Computational localization and reconstruction(secondary_characterization)
The abstract states that low-resolution image sequences are computationally processed to reconstruct super-resolution images and/or extract quantitative information.
Selection: Process low-resolution image sequences to localize molecules and reconstruct super-resolution outputs
Objective: Use correlative AFM and optical microscopy to investigate molecular interactions and molecular dynamics with complementary nanoscale physical and optical information.
Why it works: The review abstract states that AFM has important limitations, including non-specificity and low imaging speed, and that combining AFM with complementary optical techniques overcomes these limitations by adding information AFM alone cannot provide.
physical interaction detection by AFMoptical/fluorescence-based complementary readoutatomic force microscopyoptical microscopyfluorescence microscopyconfocal microscopysingle-molecule localization microscopy
Objective: Establish a quantitative screening methodology for fluorophore photoswitching that predicts SMLM image quality without requiring protein conjugation before assessment.
Why it works: The workflow is expected to work because photoswitching properties measured in simplified single-molecule environments were reported to correlate significantly with surrogate measures of SMLM image quality.
fluorophore photoswitching behavior linked to localization microscopy image formationsingle-molecule environment-based screeningquantitative photoswitching characterizationcorrelation of screening measurements with image-quality surrogates
Stages
- 1.Quantify fluorophore photoswitching in PVA films(broad_screen)
This stage exists to provide a facile single-molecule screening environment for systematic fluorophore characterization without requiring protein conjugation first.
Selection: Efficient quantification of fluorophore photoswitching properties in a single-molecule environment
- 2.Measure photoswitching using antibody adsorption comparison environment(secondary_characterization)
This stage exists to compare PVA-based measurements against an environment analogous to labeled cells.
Selection: Assess the same photoswitching properties in a protein-conjugation environment analogous to labeled cells
- 3.Correlate measured photoswitching properties with SMLM image-quality surrogates(confirmatory_validation)
This stage exists to test whether measured photoswitching properties predict image-quality outcomes relevant to SMLM.
Selection: Significant correlation to microtubule width and continuity as surrogate measures of SMLM image quality
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Mechanisms
computational image reconstructionfluorophore photoswitchingsingle-molecule localization from diffraction-limited image sequencesTarget processes
localizationselectionInput: Light
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: payload burdenimplementation constraint: spectral hardware requirementoperating role: sensor
The abstract supports that SMLM depends on fluorescence microscopy and downstream quantitative analysis methods. Specific hardware, labels, or software are not detailed in the provided text.; requires super-resolution fluorescence microscopy setup and quantitative analysis methods; The abstract states that performing SMLM involves fluorescent labelling, sample preparation, hardware for image acquisition, and computational image processing in fixed and live cells.; requires fluorescent labelling; requires sample preparation; requires hardware for image acquisition; requires computational processing of low-resolution image sequences; the provided payload does not specify exact acquisition or analysis requirements; The method requires SMLM-capable fluorescence microscopy and wet fixed-cell samples. The abstract does not specify fluorophores, acquisition settings, or analysis software.; requires super-resolution fluorescence microscopy instrumentation; requires wet-sample imaging preparation; The abstract only supports that it is an optical microscopy modality combined with AFM in correlative microscopy.; used as a complementary optical modality alongside AFM; It requires single-molecule localization image acquisition and downstream coordinate-list analysis. Quantitative use also requires correction or control for blinking, incomplete conversion, drift, localization uncertainty, and registration error.; requires quantitative analysis methods that account for recurrent localization and counting artifacts
The abstract does not claim that SMLM alone solves all quantification challenges; instead it motivates additional analysis methods for reliable quantification.; the abstract does not specify particular implementation limits or failure modes; The abstract notes that SMLM has limitations and potential artefacts, but does not specify in the provided text which failure modes or biological questions remain unresolved.; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; The provided evidence does not define which specific SMLM implementation is best for a given sample or experiment.; The abstract does not support live-cell SMLM for this application. It also does not establish how well SMLM captures fenestration dynamics in this review.; abstract only supports use in fixed cells; abstract does not provide quantitative resolution or throughput metrics; abstract does not specify implementation details or comparative limitations; The supplied evidence indicates SMLM does not automatically provide artifact-free molecule counts or spatial measurements. Quantitative interpretation can break down when blinking, undercounting, drift, uncertainty, or registration are not handled.; quantification is affected by photoblinking-driven overcounting; quantification is affected by incomplete photoconversion or undercounting; quantification is affected by localization uncertainty; quantification is affected by stage or sample drift; quantification is affected by dual-color registration error
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Source 2review2014Histochemistry and Cell Biology
Source 3review2023Annual Review of Biophysics
Source 4review2021Journal of Biological Chemistry
Source 5primary paper2021Nature Reviews Methods Primers
Ranked Claims
Super-resolution fluorescence microscopy enables investigation of cellular structures at nanoscale resolution using light.
Super-resolution fluorescence microscopy allows the investigation of cellular structures at nanoscale resolution using light.
Current developments in super-resolution microscopy have focused on reliable quantification of the underlying biological data.
Current developments in super-resolution microscopy have focused on reliable quantification of the underlying biological data.
Advanced quantitative techniques covered by the review include structural modeling, single-particle tracking, and biosensing.
but also describe more advanced techniques such as structural modeling, single-particle tracking, and biosensing
Commonly used quantitative techniques covered by the review include spatial point pattern analysis, colocalization, and protein copy number quantification.
We cover commonly used techniques such as spatial point pattern analysis, colocalization, and protein copy number quantification
Methodological developments for quantifying super-resolution data are particularly geared toward SMLM data in this review.
we first describe the basic principles of super-resolution microscopy techniques such as stimulated emission depletion (STED) microscopy and single-molecule localization microscopy (SMLM), and then give a broad overview of methodological developments to quantify super-resolution data, particularly those geared toward SMLM data
Single-molecule localization microscopy dramatically improves spatial resolution over standard diffraction-limited microscopy and can image biological structures at molecular scale.
In SMLM, individual fluorescent molecules are computationally localized from diffraction-limited image sequences and the resulting localizations are used to generate super-resolution images, time courses of super-resolution images, or molecular trajectories.
The review context includes major super-resolution modalities such as STED, SIM, PALM, STORM, SMLM, MINFLUX, and RESOLFT.
Additional high-signal enrichment leads cluster around the major super-resolution modalities explicitly discussed in and around this review—STED, SIM, PALM/STORM, SMLM, and MINFLUX
LSEC fenestrations are phospholipid transmembrane nanopores of 50–150 nm diameter that can now be visualized by SIM in fixed and living cells and by SMLM methods such as dSTORM in fixed cells.
fenestration diameter 50–150 nm
SIM and SMLM-based fenestration imaging use wet samples and thereby avoid dehydration artifacts associated with electron microscopy sample preparation.
Far-field optical nanoscopy enables study of sub-cellular nanoscale biological structures in living cells that previously were limited to electron microscopy in fixed or dehydrated samples.
Optical nanoscopy methodologies for LSEC fenestrations could be extended to in vitro studies of fenestration dynamics, animal-model liver tissue sections, and ultimately patient biopsies.
The review frames quantitative SMLM around recurrent error and analysis themes including photoblinking-driven overcounting, incomplete photoconversion or undercounting, localization uncertainty, stage or sample drift, and dual-color registration.
Approval Evidence
6 sources11 linked approval claimsfirst-pass slug single-molecule-localization-microscopy
We first describe the basic principles of super-resolution microscopy techniques such as stimulated emission depletion (STED) microscopy and single-molecule localization microscopy (SMLM), and then give a broad overview of methodological developments to quantify super-resolution data, particularly those geared toward SMLM data.
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The supplied web research summary states that SMLM is a broader method family explicitly used in supporting sources and encompassing localization-based techniques relevant to the anchor review.
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Single-molecule localization microscopy (SMLM) describes a family of powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited microscopy techniques and can image biological structures at the molecular scale.
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fenestrations were only discernible with EM, but now they can be visualized ... in fixed cells using single molecule localization microscopy (SMLM) techniques such as direct stochastic optical reconstruction microscopy
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In this review, we reported the principles of AFM and optical microscopy, such as confocal microscopy and single-molecule localization microscopy.
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The review title explicitly names quantitative single-molecule localization microscopy.
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capability summarysupports
Super-resolution fluorescence microscopy enables investigation of cellular structures at nanoscale resolution using light.
Super-resolution fluorescence microscopy allows the investigation of cellular structures at nanoscale resolution using light.
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field trendsupports
Current developments in super-resolution microscopy have focused on reliable quantification of the underlying biological data.
Current developments in super-resolution microscopy have focused on reliable quantification of the underlying biological data.
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review scope summarysupports
Methodological developments for quantifying super-resolution data are particularly geared toward SMLM data in this review.
we first describe the basic principles of super-resolution microscopy techniques such as stimulated emission depletion (STED) microscopy and single-molecule localization microscopy (SMLM), and then give a broad overview of methodological developments to quantify super-resolution data, particularly those geared toward SMLM data
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capabilitysupports
Single-molecule localization microscopy dramatically improves spatial resolution over standard diffraction-limited microscopy and can image biological structures at molecular scale.
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mechanismsupports
In SMLM, individual fluorescent molecules are computationally localized from diffraction-limited image sequences and the resulting localizations are used to generate super-resolution images, time courses of super-resolution images, or molecular trajectories.
Source:
modality coveragesupports
The review context includes major super-resolution modalities such as STED, SIM, PALM, STORM, SMLM, MINFLUX, and RESOLFT.
Additional high-signal enrichment leads cluster around the major super-resolution modalities explicitly discussed in and around this review—STED, SIM, PALM/STORM, SMLM, and MINFLUX
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applicationsupports
LSEC fenestrations are phospholipid transmembrane nanopores of 50–150 nm diameter that can now be visualized by SIM in fixed and living cells and by SMLM methods such as dSTORM in fixed cells.
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artifact reductionsupports
SIM and SMLM-based fenestration imaging use wet samples and thereby avoid dehydration artifacts associated with electron microscopy sample preparation.
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capabilitysupports
Far-field optical nanoscopy enables study of sub-cellular nanoscale biological structures in living cells that previously were limited to electron microscopy in fixed or dehydrated samples.
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future applicationsupports
Optical nanoscopy methodologies for LSEC fenestrations could be extended to in vitro studies of fenestration dynamics, animal-model liver tissue sections, and ultimately patient biopsies.
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review scope summarysupports
The review frames quantitative SMLM around recurrent error and analysis themes including photoblinking-driven overcounting, incomplete photoconversion or undercounting, localization uncertainty, stage or sample drift, and dual-color registration.
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Comparisons
Source-stated alternatives
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.; The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.; The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.; The abstract contrasts SMLM with SIM and with electron microscopy.; The abstract also names confocal microscopy as another optical modality discussed.; The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Source:
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.
Source:
The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Source:
The abstract contrasts SMLM with SIM and with electron microscopy.
Source:
The abstract also names confocal microscopy as another optical modality discussed.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Source-backed strengths
central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories; serves as a broader method family for localization-based modalities; supports fenestration visualization in fixed cells; uses wet samples; named by the review as a representative optical modality for correlative use; supports quantitative analysis themes including counting, localization precision, drift handling, and registration according to the supplied review summary
Source:
central focus of the review's quantitative methodology discussion
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dramatically improves spatial resolution over standard diffraction-limited microscopy
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can generate super-resolution images, time courses, or molecular trajectories
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serves as a broader method family for localization-based modalities
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supports fenestration visualization in fixed cells
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uses wet samples
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named by the review as a representative optical modality for correlative use
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supports quantitative analysis themes including counting, localization precision, drift handling, and registration according to the supplied review summary
Compared with 3D-dSTORM
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with confocal microscopy
The abstract also names confocal microscopy as another optical modality discussed.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract also names confocal microscopy as another optical modality discussed.
Compared with conventional diffraction-limited microscopy
The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.
Compared with direct stochastic optical reconstruction microscopy
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with dSTORM
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with electron microscopy
The abstract contrasts SMLM with SIM and with electron microscopy.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with SIM and with electron microscopy.
Compared with microscopy
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.; The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.; The abstract contrasts SMLM with SIM and with electron microscopy.; The abstract also names confocal microscopy as another optical modality discussed.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.
Source:
The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.
Source:
The abstract contrasts SMLM with SIM and with electron microscopy.
Source:
The abstract also names confocal microscopy as another optical modality discussed.
Compared with MINFLUX
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Compared with multi-color single-molecule localization microscopy
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.; The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.; The abstract contrasts SMLM with SIM and with electron microscopy.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.
Source:
The abstract contrasts SMLM with standard diffraction-limited microscopy techniques and mentions closely related methods without naming them.
Source:
The abstract contrasts SMLM with SIM and with electron microscopy.
Compared with PALM
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with photoactivated localization microscopy
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with photo-activation localization microscopy
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with photoactivation localization microscopy
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with RESOLFT
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Compared with reversible saturable optically linear transitions
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Compared with STED
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.; The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Compared with STED microscopy
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.; The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Compared with stimulated emission depletion microscopy
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.; The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The abstract contrasts SMLM with another super-resolution technique, STED microscopy.
Source:
The supplied summary contrasts the localization family with other major modalities such as STED and SIM, and also mentions MINFLUX and RESOLFT.
Compared with stochastic optical reconstruction microscopy
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Compared with STORM
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Shared frame: source-stated alternative in extracted literature
Strengths here: central focus of the review's quantitative methodology discussion; dramatically improves spatial resolution over standard diffraction-limited microscopy; can generate super-resolution images, time courses, or molecular trajectories.
Relative tradeoffs: the abstract does not specify particular implementation limits or failure modes; main limitations and potential artefacts are discussed in the source, but not specified in the abstract; abstract only supports use in fixed cells.
Source:
The supplied scaffold names related localization methods including PALM, STORM, dSTORM, and DNA-PAINT as adjacent approaches. The current payload does not provide enough direct text from the anchor review to state comparative performance among them.
Ranked Citations
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