Toolkit/structured illumination microscopy

structured illumination microscopy

Assay Method·Research·Since 2015

Also known as: SIM

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

The supplied source summary states that the review explicitly covers SIM and includes linear and nonlinear SIM.

Usefulness & Problems

Why this is useful

Structured illumination microscopy is named in the supplied summary as a major modality covered by the review.; super-resolution imaging technique selection; comparing major super-resolution modalities; Structured illumination microscopy is presented as an optical nanoscopy method that can visualize LSEC fenestrations and other sub-cellular nanoscale structures. The abstract explicitly states it works in fixed and living cells.; visualizing liver sinusoidal endothelial cell fenestrations; imaging sub-cellular nanoscale biological structures in living cells; SIM is identified as a major super-resolution modality family covered by the review, including linear and nonlinear variants.; super-resolution fluorescence imaging at the nanoscale; SIM is presented as a super-resolution far-field optical microscopy technique.; super-resolution far-field optical microscopy; improving spatial resolution relative to conventional optical microscopy; Structured illumination microscopy modifies illumination by imposing a defined pattern on the sample or its image, then computationally processes the resulting images to improve performance. The abstract presents it as a wide-field microscopy technique.; wide-field optical microscopy with higher performance; optical sectioning; super-resolution imaging; surface profiling; quantitative phase imaging of microscale objects; The supplied enrichment materials identify SIM as a super-resolution microscopy family relevant to nanoscale cellular structure imaging.

Source:

Structured illumination microscopy is named in the supplied summary as a major modality covered by the review.

Source:

super-resolution imaging technique selection

Source:

comparing major super-resolution modalities

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Structured illumination microscopy is presented as an optical nanoscopy method that can visualize LSEC fenestrations and other sub-cellular nanoscale structures. The abstract explicitly states it works in fixed and living cells.

Source:

visualizing liver sinusoidal endothelial cell fenestrations

Source:

imaging sub-cellular nanoscale biological structures in living cells

Source:

SIM is identified as a major super-resolution modality family covered by the review, including linear and nonlinear variants.

Source:

super-resolution fluorescence imaging at the nanoscale

Source:

SIM is presented as a super-resolution far-field optical microscopy technique.

Source:

super-resolution far-field optical microscopy

Source:

improving spatial resolution relative to conventional optical microscopy

Source:

Structured illumination microscopy modifies illumination by imposing a defined pattern on the sample or its image, then computationally processes the resulting images to improve performance. The abstract presents it as a wide-field microscopy technique.

Source:

wide-field optical microscopy with higher performance

Source:

optical sectioning

Source:

super-resolution imaging

Source:

surface profiling

Source:

quantitative phase imaging of microscale objects

Source:

The supplied enrichment materials identify SIM as a super-resolution microscopy family relevant to nanoscale cellular structure imaging.

Problem solved

It offers a named route to super-resolution imaging for users choosing among microscopy techniques.; provides a super-resolution imaging option beyond the diffraction limit; It addresses the prior dependence on electron microscopy for seeing fenestrations by enabling optical imaging of these structures in wet samples. This also helps avoid dehydration artifacts associated with EM preparation.; enables optical visualization of fenestrations that were previously limited to electron microscopy; avoids dehydration artifacts by using wet samples; It improves spatial resolution relative to conventional fluorescence microscopy.; improving spatial resolution in fluorescence microscopy; It improves on the diffraction-limited spatial resolution of conventional optical microscopy.; limited spatial resolution of far-field optical microscopy; It addresses the limitation that many newer illumination techniques are not amenable to wide-field observation. The method is presented as improving imaging performance for microscopy applications including cell biology and microscale measurements.; improves imaging capabilities while remaining amenable to wide-field observation; enhances microscope performance by patterned illumination plus computational reconstruction

Source:

It offers a named route to super-resolution imaging for users choosing among microscopy techniques.

Source:

provides a super-resolution imaging option beyond the diffraction limit

Source:

It addresses the prior dependence on electron microscopy for seeing fenestrations by enabling optical imaging of these structures in wet samples. This also helps avoid dehydration artifacts associated with EM preparation.

Source:

enables optical visualization of fenestrations that were previously limited to electron microscopy

Source:

avoids dehydration artifacts by using wet samples

Source:

It improves spatial resolution relative to conventional fluorescence microscopy.

Source:

improving spatial resolution in fluorescence microscopy

Source:

It improves on the diffraction-limited spatial resolution of conventional optical microscopy.

Source:

limited spatial resolution of far-field optical microscopy

Source:

It addresses the limitation that many newer illumination techniques are not amenable to wide-field observation. The method is presented as improving imaging performance for microscopy applications including cell biology and microscale measurements.

Source:

improves imaging capabilities while remaining amenable to wide-field observation

Source:

enhances microscope performance by patterned illumination plus computational reconstruction

Problem links

avoids dehydration artifacts by using wet samples

Literature

It addresses the prior dependence on electron microscopy for seeing fenestrations by enabling optical imaging of these structures in wet samples. This also helps avoid dehydration artifacts associated with EM preparation.

Source:

It addresses the prior dependence on electron microscopy for seeing fenestrations by enabling optical imaging of these structures in wet samples. This also helps avoid dehydration artifacts associated with EM preparation.

enables optical visualization of fenestrations that were previously limited to electron microscopy

Literature

It addresses the prior dependence on electron microscopy for seeing fenestrations by enabling optical imaging of these structures in wet samples. This also helps avoid dehydration artifacts associated with EM preparation.

Source:

It addresses the prior dependence on electron microscopy for seeing fenestrations by enabling optical imaging of these structures in wet samples. This also helps avoid dehydration artifacts associated with EM preparation.

enhances microscope performance by patterned illumination plus computational reconstruction

Literature

It addresses the limitation that many newer illumination techniques are not amenable to wide-field observation. The method is presented as improving imaging performance for microscopy applications including cell biology and microscale measurements.

Source:

It addresses the limitation that many newer illumination techniques are not amenable to wide-field observation. The method is presented as improving imaging performance for microscopy applications including cell biology and microscale measurements.

improves imaging capabilities while remaining amenable to wide-field observation

Literature

It addresses the limitation that many newer illumination techniques are not amenable to wide-field observation. The method is presented as improving imaging performance for microscopy applications including cell biology and microscale measurements.

Source:

It addresses the limitation that many newer illumination techniques are not amenable to wide-field observation. The method is presented as improving imaging performance for microscopy applications including cell biology and microscale measurements.

improving spatial resolution in fluorescence microscopy

Literature

It improves spatial resolution relative to conventional fluorescence microscopy.

Source:

It improves spatial resolution relative to conventional fluorescence microscopy.

limited spatial resolution of far-field optical microscopy

Literature

It improves on the diffraction-limited spatial resolution of conventional optical microscopy.

Source:

It improves on the diffraction-limited spatial resolution of conventional optical microscopy.

provides a super-resolution imaging option beyond the diffraction limit

Literature

It offers a named route to super-resolution imaging for users choosing among microscopy techniques.

Source:

It offers a named route to super-resolution imaging for users choosing among microscopy techniques.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete measurement method used to characterize an engineered system.

Target processes

localizationselection

Input: Light

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: payload burdenimplementation constraint: spectral hardware requirementoperating role: sensor

reconstruction or acquisition constraints are not explicitly stated in the provided source text; The method requires super-resolution fluorescence microscopy and wet biological samples. The abstract does not specify labeling reagents or hardware details beyond the microscopy modality.; requires super-resolution fluorescence microscopy instrumentation; requires wet-sample imaging preparation; The method requires patterned illumination and computational techniques to remove the imposed structure from acquired images. It is described as compatible with existing microscopes.; requires superposition of a well-defined illumination pattern on the sample or its image; requires computational processing of resultant images to remove the effect of the structure

The provided payload does not specify its exact resolution, speed, artifact profile, or sample constraints.; The abstract does not show that SIM alone resolves all mechanistic questions about fenestration dynamics or pathology. It also does not claim direct clinical deployment in this paper.; abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; In the abstract, SIM is described as achieving a two-fold resolution improvement, whereas several other methods are said to go beyond that to the nanometer scale.; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM; The anchor abstract does not specify SIM-specific capabilities or tradeoffs.; the anchor abstract does not explicitly name SIM

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1modality coveragesupports2021Source 3needs review

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
Claim 2applicationsupports2018Source 2needs review

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
Claim 3artifact reductionsupports2018Source 2needs review

SIM and SMLM-based fenestration imaging use wet samples and thereby avoid dehydration artifacts associated with electron microscopy sample preparation.

Claim 4capabilitysupports2018Source 2needs review

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.

Claim 5future applicationsupports2018Source 2needs review

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.

Claim 6comparative advantagesupports2016Source 1needs review

The review highlights nanobodies as a labeling strategy that reduces linkage error relative to conventional antibodies in super-resolution imaging.

Claim 7method family membershipsupports2016Source 1needs review

The review groups PALM, STORM/dSTORM, and GSDIM under single-molecule localization microscopy.

Claim 8review scopesupports2016Source 1needs review

The review discusses labeling chemistry, fluorophore photophysics, quantitative super-resolution, live-cell imaging, correlative microscopy, and analysis algorithms alongside core imaging modalities.

Claim 9review scopesupports2016Source 1needs review

This review covers major super-resolution microscopy modality families including SIM, STED/RESOLFT, and single-molecule localization microscopy.

Claim 10application scopesupports2015Source 4needs review

Structured illumination microscopy has emerged as a key illumination technique for optical sectioning, super-resolution imaging, surface profiling, and quantitative phase imaging of microscale objects in cell biology and engineering.

Claim 11capabilitysupports2015Source 4needs review

Structured illumination microscopy is a wide-field technique developed to achieve higher performance in optical microscopy.

Claim 12capability statementsupports2015Source 5needs review

STED, GSD, RESOLFT, PALM, STORM, SIM, and SSIM are super-resolution far-field optical microscopy techniques that address the limited spatial resolution of conventional far-field optical microscopy.

techniques such as stimulated emission depletion (STED), ground state depletion (GSD), reversible saturated optical (fluorescence) transitions (RESOLFT), photoactivation localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), structured illumination microscopy (SIM) or saturated structured illumination microscopy (SSIM), all in one way or another addressing the problem of the limited spatial resolution of far-field optical microscopy
Claim 13compatibilitysupports2015Source 4needs review

Structured illumination microscopy is compatible with existing microscopes.

Claim 14mechanismsupports2015Source 4needs review

Structured illumination microscopy works by superposing a well-defined illumination pattern on the sample or its image and applying computational techniques to remove the effect of the structure from resultant images.

Claim 15performance statementsupports2015Source 5needs review

SIM achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy.

While SIM achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy
spatial resolution improvement two-fold
Claim 16performance statementsupports2015Source 5needs review

STED, RESOLFT, PALM/STORM, and SSIM have gone beyond SIM and pushed optical image resolution to the nanometer scale.

STED, RESOLFT, PALM/STORM, or SSIM have all gone beyond, pushing the limits of optical image resolution to the nanometer scale
image resolution scale nanometer scale

Approval Evidence

6 sources12 linked approval claimsfirst-pass slug structured-illumination-microscopy
The source title is a guide to choosing the right super-resolution microscopy technique, and the supplied web research summary identifies SIM as a major modality discussed by the anchor review.

Source:

fenestrations were only discernible with EM, but now they can be visualized in fixed and living cells using structured illumination microscopy (SIM)

Source:

The supplied source summary states that the review explicitly covers SIM and includes linear and nonlinear SIM.

Source:

The method of structured illumination microscopy has been developed as a wide-field technique for achieving higher performance. Additionally, it is also compatible with existing microscopes.

Source:

super-resolution farfield optical microscopy (nanoscopy) techniques such as ... structured illumination microscopy (SIM)

Source:

The supplied web research summary identifies SIM as a major super-resolution approach for cell biology relevant to the anchor review.

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

Source:

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.

Source:

artifact reductionsupports

SIM and SMLM-based fenestration imaging use wet samples and thereby avoid dehydration artifacts associated with electron microscopy sample preparation.

Source:

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.

Source:

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.

Source:

review scopesupports

This review covers major super-resolution microscopy modality families including SIM, STED/RESOLFT, and single-molecule localization microscopy.

Source:

application scopesupports

Structured illumination microscopy has emerged as a key illumination technique for optical sectioning, super-resolution imaging, surface profiling, and quantitative phase imaging of microscale objects in cell biology and engineering.

Source:

capabilitysupports

Structured illumination microscopy is a wide-field technique developed to achieve higher performance in optical microscopy.

Source:

capability statementsupports

STED, GSD, RESOLFT, PALM, STORM, SIM, and SSIM are super-resolution far-field optical microscopy techniques that address the limited spatial resolution of conventional far-field optical microscopy.

techniques such as stimulated emission depletion (STED), ground state depletion (GSD), reversible saturated optical (fluorescence) transitions (RESOLFT), photoactivation localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), structured illumination microscopy (SIM) or saturated structured illumination microscopy (SSIM), all in one way or another addressing the problem of the limited spatial resolution of far-field optical microscopy

Source:

compatibilitysupports

Structured illumination microscopy is compatible with existing microscopes.

Source:

mechanismsupports

Structured illumination microscopy works by superposing a well-defined illumination pattern on the sample or its image and applying computational techniques to remove the effect of the structure from resultant images.

Source:

performance statementsupports

SIM achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy.

While SIM achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy

Source:

Comparisons

Source-stated alternatives

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.; The abstract contrasts SIM with Köhler illumination and with other newer illumination techniques that improve some imaging capabilities but are often not suitable for wide-field observation.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Source:

The abstract contrasts SIM with Köhler illumination and with other newer illumination techniques that improve some imaging capabilities but are often not suitable for wide-field observation.

Source-backed strengths

identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples; achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy; compatible with existing microscopes; wide-field technique; applicable in cell biology and engineering

Source:

identified as a central comparison point in the review context

Source:

works in fixed and living cells

Source:

uses wet samples

Source:

achieves a two-fold improvement in spatial resolution compared to conventional optical microscopy

Source:

compatible with existing microscopes

Source:

wide-field technique

Source:

applicable in cell biology and engineering

Compared with 3D-dSTORM

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Compared with dSTORM

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Compared with electron microscopy

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Compared with GSDIM

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Compared with imaging

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.; The abstract contrasts SIM with Köhler illumination and with other newer illumination techniques that improve some imaging capabilities but are often not suitable for wide-field observation.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Source:

The abstract contrasts SIM with Köhler illumination and with other newer illumination techniques that improve some imaging capabilities but are often not suitable for wide-field observation.

Compared with imaging surveillance

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.; The abstract contrasts SIM with Köhler illumination and with other newer illumination techniques that improve some imaging capabilities but are often not suitable for wide-field observation.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Source:

The abstract contrasts SIM with Köhler illumination and with other newer illumination techniques that improve some imaging capabilities but are often not suitable for wide-field observation.

Compared with microscopy

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Compared with MINFLUX

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Compared with PALM

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Compared with RESOLFT

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The abstract contrasts SIM with electron microscopy as the historical method and with SMLM approaches such as dSTORM for fixed-cell imaging.

Compared with STED

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Compared with STED microscopy

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Compared with STORM

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.; The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.; The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Shared frame: source-stated alternative in extracted literature

Strengths here: identified as a central comparison point in the review context; works in fixed and living cells; uses wet samples.

Relative tradeoffs: abstract does not provide quantitative performance metrics; abstract does not specify molecular specificity or throughput limits; reported improvement is lower than STED, RESOLFT, PALM/STORM, or SSIM.

Source:

The supplied summary places SIM alongside STED, PALM, STORM, SMLM, MINFLUX, and RESOLFT.

Source:

The review also covers STED/RESOLFT and single-molecule localization methods including PALM, STORM/dSTORM, and GSDIM.

Source:

The abstract contrasts SIM with STED, GSD, RESOLFT, PALM, STORM, and SSIM.

Ranked Citations

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  3. 3.
    StructuralSource 3Journal of Biological Chemistry2021Claim 1

    Extracted from this source document.

  4. 4.
    StructuralSource 4Advances in Optics and Photonics2015Claim 10Claim 11Claim 13

    Extracted from this source document.

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    StructuralSource 5Journal of Physics D Applied Physics2015Claim 12Claim 15Claim 16

    Extracted from this source document. Seeded from load plan for claim c3.