Source 1primary paper2019Nature Communications
Toolkit/3D-dSTORM
3D-dSTORM
Also known as: dSTORM
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The web research summary states that the anchor paper uses 3D-dSTORM and specifically astigmatism-based 3D-dSTORM for single-particle localization measurements on nanoparticles.
Usefulness & Problems
Why this is useful
3D-dSTORM is described as the core measurement method used to localize fluorophores on individual spherical nanoparticles. In this paper context it is used to map nanoparticle surface functionalization heterogeneity.; single-particle super-resolution localization measurements on nanoparticle surfaces; quantifying nanoparticle surface heterogeneity
Source:
3D-dSTORM is described as the core measurement method used to localize fluorophores on individual spherical nanoparticles. In this paper context it is used to map nanoparticle surface functionalization heterogeneity.
Source:
single-particle super-resolution localization measurements on nanoparticle surfaces
Source:
quantifying nanoparticle surface heterogeneity
Problem solved
It addresses the need to observe nanoparticle surface heterogeneity at the single-particle level rather than only as an ensemble average.; recovers fluorophore positions on spherical nanoparticles; reveals particle-to-particle and within-particle surface functionalization heterogeneity
Source:
It addresses the need to observe nanoparticle surface heterogeneity at the single-particle level rather than only as an ensemble average.
Source:
recovers fluorophore positions on spherical nanoparticles
Source:
reveals particle-to-particle and within-particle surface functionalization heterogeneity
Problem links
recovers fluorophore positions on spherical nanoparticles
LiteratureIt addresses the need to observe nanoparticle surface heterogeneity at the single-particle level rather than only as an ensemble average.
Source:
It addresses the need to observe nanoparticle surface heterogeneity at the single-particle level rather than only as an ensemble average.
reveals particle-to-particle and within-particle surface functionalization heterogeneity
LiteratureIt addresses the need to observe nanoparticle surface heterogeneity at the single-particle level rather than only as an ensemble average.
Source:
It addresses the need to observe nanoparticle surface heterogeneity at the single-particle level rather than only as an ensemble average.
Published Workflows
Objective: Measure and interpret nanoparticle surface inhomogeneity by combining single-particle 3D super-resolution imaging with probabilistic localization modeling.
Why it works: The source summary indicates that 3D-dSTORM provides localization data and the probabilistic maximum-likelihood framework converts those stochastic observations into estimated fluorophore positions on nanoparticle surfaces.
fluorophore position recovery on spherical nanoparticle surfaces3D-dSTORMmaximum-likelihood modelingEM-based estimation
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Mechanisms
astigmatism-based 3d localizationsingle-molecule localization microscopystochastic fluorophore localizationTechniques
Functional AssayTarget processes
localizationImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The source summary indicates a 3D-dSTORM imaging setup and fluorophore-labeled nanoparticles are required. Astigmatism-based 3D localization is specifically mentioned.; requires fluorophore labeling; requires super-resolution microscopy setup
Independent follow-up evidence is still limited. Validation breadth across biological contexts is still narrow. Independent reuse still looks limited, so the evidence base may be fragile. No canonical validation observations are stored yet, so context-specific performance remains under-specified.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
The source uses 3D-dSTORM together with probabilistic maximum-likelihood modeling to recover fluorophore positions on spherical nanoparticles.
The article identifies DNA origami reference structures as possible benchmarking substrates for validating fluorophore localization methods.
Approval Evidence
1 source1 linked approval claimfirst-pass slug 3d-dstorm
The web research summary states that the anchor paper uses 3D-dSTORM and specifically astigmatism-based 3D-dSTORM for single-particle localization measurements on nanoparticles.
Source:
method applicationsupports
The source uses 3D-dSTORM together with probabilistic maximum-likelihood modeling to recover fluorophore positions on spherical nanoparticles.
Source:
Comparisons
Source-backed strengths
single-particle spatial resolution; supports 3D localization according to the source summary
Source:
single-particle spatial resolution
Source:
supports 3D localization according to the source summary
Compared with 4Pi detection of stochastically switched fluorophores
3D-dSTORM and 4Pi detection of stochastically switched fluorophores address a similar problem space because they share localization.
Shared frame: same top-level item type; shared target processes: localization
Strengths here: looks easier to implement in practice.
Compared with flow cytometry
3D-dSTORM and flow cytometry address a similar problem space because they share localization.
Shared frame: same top-level item type; shared target processes: localization
Relative tradeoffs: appears more independently replicated; looks easier to implement in practice.
Compared with RESOLFT
3D-dSTORM and RESOLFT address a similar problem space because they share localization.
Shared frame: same top-level item type; shared target processes: localization
Strengths here: looks easier to implement in practice.
Ranked Citations
- 1.