Evidence map›Paper›PMID 40212653›Full record

ArticleSmall science2025

Fast and Long-Term Super-Resolution Imaging of Endoplasmic Reticulum Nano-structural Dynamics in Living Cells Using a Neural Network.

Johanna V Rahm, Ashwin Balakrishnan, Maren Wehrheim, Alexandra Kaminer, Marius Glogger, Laurell F Kessler, Matthias Kaschube, Hans-Dieter Barth, Mike Heilemann

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

9 authors.

Johanna V RahmInstitute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.
Ashwin BalakrishnanInstitute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.ORCID https://orcid.org/0000-0003-4059-8345
Maren WehrheimDepartment of Computer Science and Mathematics Goethe University Frankfurt 60054 Frankfurt Germany.ORCID https://orcid.org/0000-0003-3197-9947
Alexandra KaminerInstitute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.
Marius GloggerOptical Imaging Competence Centre Friedrich-Alexander-Universität Erlangen-Nürnberg Cauerstraße 3 91058 Erlangen Germany.ORCID https://orcid.org/0000-0003-2834-2785
Laurell F KesslerInstitute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.
Matthias KaschubeDepartment of Computer Science and Mathematics Goethe University Frankfurt 60054 Frankfurt Germany.ORCID https://orcid.org/0000-0002-5145-7487
Hans-Dieter BarthInstitute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.
Mike HeilemannInstitute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.ORCID https://orcid.org/0000-0002-9821-3578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stimulated emission depletion (STED) microscopy is a super-resolution technique that surpasses the diffraction limit and has contributed to the study of dynamic processes in living cells. However, high laser intensities induce fluorophore photobleaching and sample phototoxicity, limiting the number of fluorescence images obtainable from a living cell. Herein, these challenges are addressed by using ultra-low irradiation intensities and a neural network for image restoration, enabling extensive imaging of single living cells. The endoplasmic reticulum (ER) is chosen as the target structure due to its dynamic nature over short and long timescales. The reduced irradiation intensity combined with denoising permits continuous ER dynamics observation in living cells for up to 7 h with a temporal resolution of seconds. This allows for quantitative analysis of ER structural features over short (seconds) and long (hours) timescales within the same cell, and enabled fast 3D live-cell STED microscopy. Overall, the combination of ultralow irradiation with image restoration enables comprehensive analysis of organelle dynamics over extended periods in living cells.

Indexed as

autophagydenoisingimage restorationlive‐cell microscopyneural networkssuper‐resolution microscopy

Identifiers

PMID40212653
PMCPMC11935122

What OpenQuestion holds

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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.