Evidence map›Paper›PMID 40109524›Full record

ArticleBiomedical optics express2025

Super-resolution microscopy based on the inherent fluctuations of dye molecules.

Alexander Krupinski-Ptaszek, Adrian Makowski, Aleksandra Mielnicka, Monika Pawłowska, Ron Tenne, Radek Lapkiewicz

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. 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

6 authors.

Alexander Krupinski-PtaszekFaculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland.ORCID https://orcid.org/0000-0002-2575-9895
Adrian MakowskiFaculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland.ORCID https://orcid.org/0000-0002-5531-0060
Aleksandra MielnickaThe Nencki Institute of Experimental Biology, PAS, 02-093 Warsaw, Poland.
Monika PawłowskaFaculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland.
Ron TenneDepartment of Physics, University of Konstanz, Universitätsstraße 10, D-78457 Konstanz, Germany.ORCID https://orcid.org/0000-0001-5315-479X
Radek LapkiewiczFaculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland.ORCID https://orcid.org/0000-0002-7026-7275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence microscopy is a critical tool across various disciplines, from materials science to biomedical research, yet it is limited by the diffraction limit of resolution. Advanced super-resolution techniques such as localization microscopy and stimulated-emission-depletion microscopy often demand considerable resources. These methods depend heavily on elaborate sample-staining, complex optical systems, or prolonged acquisition periods, and their application in 3D and multicolor imaging presents significant experimental challenges. In the current work, we provide a complete demonstration of a widely accessible super-resolution imaging approach capable of 3D and multicolor imaging based on super-resolution optical fluctuation imaging (SOFI). We replace the confocal pinhole with an array of single-photon avalanche diodes and use the microsecond-scale fluctuations of dye molecules as a contrast mechanism. This contrast is transformed into a super-resolved image using a robust and deterministic algorithm. Our technique utilizes natural fluctuations inherent to organic dyes, thereby it does not require engineering of the blinking statistics. Our robust, versatile super-resolution method opens the way to next-generation multimodal imaging and facilitates on-demand super-resolution within a confocal architecture.

Identifiers

PMID40109524
PMCPMC11919343

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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.