Evidence map›Paper›PMID 42149961›Full record

ArticlePLoS computational biology2026

Energy transfer leaves fingerprints in cyanine photoswitching behavior.

Vincent Ebert, Markus Sauer, Sören Doose

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Vincent EbertDepartment of Biotechnology and Biophysics, Biocenter, Julius-Maximilians University, Würzburg, Germany.
Markus SauerDepartment of Biotechnology and Biophysics, Biocenter, Julius-Maximilians University, Würzburg, Germany.
Sören DooseDepartment of Biotechnology and Biophysics, Biocenter, Julius-Maximilians University, Würzburg, Germany.ORCID https://orcid.org/0000-0002-6983-1182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution microscopy resolves molecular structures in biological systems but is limited by properties of the fluorescent labels. dSTORM experiments with multiple Cy5 fluorophores in sub-10 nm spaced labelling positions have shown distinct cumulative localization counts over time, depending on the distances between the fluorophores, that suggest Förster resonance energy transfer between ON states and long living OFF states. This photophysical effect hinders precise localization of the individual emitters but produces a photoswitching fingerprint that can be used to draw conclusions about sub-10 nm spatial conformations in molecular structures that are not spatially resolvable. Here we present a theoretical framework for analysing the photophysical systems that yield distinct fingerprint signatures. We developed a Python-based continuous-time Markov chain simulation software package that reproduces the photophysical processes of organic fluorophores. We show that the established photophysical models of Cy5 extended by Förster resonance energy transfer between the excited singlet state and the long living OFF state explain experimental fingerprint signatures as seen in dSTORM experiments. Matching experimental signatures including fluorescence lifetimes provides evidence for an additional energy transfer to the radical anion of cyanine dyes like Cy5. This work contributes to the understanding of proximity-based photophysical processes and paves the way for future development of sub-10 nm dSTORM imaging.

Indexed as

CarbocyaninesEnergy TransferFluorescence Resonance Energy TransferFluorescent DyesComputational BiologyMarkov ChainsMicroscopy, FluorescenceSoftwareCarbocyaninescyanine dye 5Fluorescent Dyes

Identifiers

PMID42149961
PMCPMC13197066

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Registered trials

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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.