ReviewNano convergence2023
Spectroscopic single-molecule localization microscopy: applications and prospective.
Review in Nano convergence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Single Fluorogens and Orientation-Localization Microscopy for Quantifying Chemical and Biomolecular Dynamics at the Nanoscale.Accounts of chemical research · 2026Article
- A Dispersive Image Scanning Microscope for Multi-color High-resolution Imaging.ACS photonics · 2026Article
- Chromatix: a differentiable, GPU-accelerated wave-optics library.Nature methods · 2026Article
- Engineering quantum dot surfaces to preserve protein-DNA interactions for single-molecule visualization.Nano convergence · 2026Article
- Maximizing photon utilization in spectroscopic single-molecule localization microscopy using symmetrically dispersed dual-wedge prisms.Npj imaging · 2026Article
- Chromatix: a differentiable, GPU-accelerated wave-optics library.bioRxiv : the preprint server for biology · 2026Article
- Functional super-resolution microscopy of fibers and polymers: convergence of artificial and biological systems at the nanoscale.Nanoscale horizons · 2026Review
- Advanced optical microscopy methods forBiophysical reviews · 2025Review
- DeepQR: single-molecule QR codes for optical gene-expression analysis.Nanophotonics (Berlin, Germany) · 2025Article
- Single-molecule orientation-localization microscopy: Applications and approaches.Quarterly reviews of biophysics · 2024Review
- Graph-Based Spatial Proximity of Super-Resolved Protein-Protein Interactions Predicts Cancer Drug Responses in Single Cells.Cellular and molecular bioengineering · 2024Article
- Squaraine Dyes Exhibit Spontaneous Fluorescence Blinking That Enables Live-Cell Nanoscopy.Nano letters · 2024Article
- Switchable and Functional Fluorophores for Multidimensional Single-Molecule Localization Microscopy.Chemical & biomedical imaging · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Single-molecule localization microscopy (SMLM) breaks the optical diffraction limit by numerically localizing sparse fluorescence emitters to achieve super-resolution imaging. Spectroscopic SMLM or sSMLM further allows simultaneous spectroscopy and super-resolution imaging of fluorescence molecules. Hence, sSMLM can extract spectral features with single-molecule sensitivity, higher precision, and higher multiplexity than traditional multicolor microscopy modalities. These new capabilities enabled advanced multiplexed and functional cellular imaging applications. While sSMLM suffers from reduced spatial precision compared to conventional SMLM due to splitting photons to form spatial and spectral images, several methods have been reported to mitigate these weaknesses through innovative optical design and image processing techniques. This review summarizes the recent progress in sSMLM, its applications, and our perspective on future work.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.