Evidence map›Paper›PMID 41767934›Full record

ArticleBiomedical optics express2025

Wavefront estimation through structured detection in laser scanning microscopy.

Francesco Fersini, Alessandro Zunino, Pietro Morerio, Francesca Baldini, Alberto Diaspro, Martin J Booth, Alessio Del Bue, Giuseppe Vicidomini

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Francesco FersiniMolecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy.
Alessandro ZuninoMolecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy.
Pietro MorerioPattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy.
Francesca BaldiniNanoscopy, and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy.
Alberto DiasproNanoscopy, and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy.ORCID https://orcid.org/0000-0002-4916-5928
Martin J BoothDepartment of Engineering Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9525-8981
Alessio Del BuePattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy.
Giuseppe VicidominiPattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy.ORCID https://orcid.org/0000-0002-3085-730X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laser scanning microscopy (LSM) is the base of numerous advanced imaging techniques, including confocal laser scanning microscopy (CLSM), a widely used tool in life sciences research. However, its effective resolution is often compromised by optical aberrations, a common challenge in all optical systems. While adaptive optics (AO) can correct these aberrations, current methods face significant limitations: aberration estimation, which is central to any AO approach, typically requires specialized hardware or prolonged sample exposure, rendering these methods sample-invasive, and less user-friendly. In this study, we propose a simple and efficient AO strategy for CLSM systems equipped with a detector array - image-scanning microscopy - and an AO element for beam shaping. We demonstrate, for the first time, that datasets acquired with a detector array inherently encode aberration information. As a proof-of-concept of this important property, we designed a custom convolutional neural network capable of decoding aberrations up to the 11

Identifiers

PMID41767934
PMCPMC12945501

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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.