Evidence map›Paper›PMID 41000196›Full record

ReviewChemical & biomedical imaging2025

Advancing Single-Molecule Biophysics: Next-Generation Organic Fluorophores with Tailored Labeling Strategies.

Lei Zhang, Dongwen Shen, Jiazhen Yang

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lei ZhangSchool of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210000, China.ORCID https://orcid.org/0000-0001-6212-7371
Dongwen ShenSchool of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210000, China.
Jiazhen YangSchool of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in single-molecule biophysics have been driven by breakthroughs in advanced fluorescence microscopy techniques and the development of next-generation organic fluorophores. These cutting-edge fluorophores, coupled through tailored biolabeling strategies, offer single-molecule brightness, photostability, and phototunability (i.e., photoswitchable, photoactivatable), contributing to enhancing spatial and temporal imaging resolution for studying biomolecular interactions and dynamics at single-event precision. This review examines the progress made over the past decade in the development of next-generation fluorophores, along with their site-specific labeling methods for proteins, nucleic acids, and biomolecular complexes. It also explores their applications in single-molecule fluorescence-based dynamic structural biology and super-resolution microscopy imaging. Furthermore, it examines ongoing efforts to address challenges associated with fluorophore photostability, photobleaching, and the integration of advanced photophysical and photochemical functionalities. The integration of state-of-the-art fluorophores with advanced labeling strategies aim to deliver complementary correlative data, holding promise for revolutionizing single-molecule biophysics by pushing the boundaries of temporal and spatial imaging resolution to unprecedented limits.

Indexed as

biolabelingorganic fluorophoresphotoactivatablephotostablephotoswitchablesingle-molecule fluorescence microscopysingle-molecule FRETsuper-resolution microscopy

Identifiers

PMID41000196
PMCPMC12458005

What OpenQuestion holds

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Registered trials

None linked

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.