Evidence map›Paper›PMID 38232161›Full record

ArticleScience advances2024

Single-pixel transmission matrix recovery via two-photon fluorescence.

Shupeng Zhao, Bernhard Rauer, Lorenzo Valzania, Jonathan Dong, Ruifeng Liu, Fuli Li, Sylvain Gigan, Hilton B de Aguiar

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Shupeng ZhaoLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France. 24 rue Lhomond, 75005 Paris, France.ORCID 0000-0003-2659-7186
Bernhard RauerLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France. 24 rue Lhomond, 75005 Paris, France.ORCID 0000-0001-5180-3100
Lorenzo ValzaniaLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France. 24 rue Lhomond, 75005 Paris, France.ORCID 0000-0003-0590-7827
Jonathan DongBiomedical Imaging Group, Ecole polytechnique fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.ORCID 0000-0002-8315-5571
Ruifeng LiuShaanxi Province Key Laboratory for Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-3063-7673
Fuli LiShaanxi Province Key Laboratory for Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China.
Sylvain GiganLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France. 24 rue Lhomond, 75005 Paris, France.ORCID 0000-0002-9914-6231
Hilton B de AguiarLaboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France. 24 rue Lhomond, 75005 Paris, France.ORCID 0000-0002-2426-0371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging at depth in opaque materials has long been a challenge. Recently, wavefront shaping has enabled notable advance for deep imaging. Nevertheless, most noninvasive wavefront-shaping methods require cameras, lack the sensitivity for deep imaging under weak optical signals, or can only focus on a single "guidestar." Here, we retrieve the transmission matrix (TM) noninvasively using two-photon fluorescence exploiting a single-pixel detection combined with a computational framework, allowing to achieve single-target focus on multiple guidestars spread beyond the memory effect range. In addition, if we assume that memory effect correlations exist in the TM, we are able to substantially reduce the number of measurements needed.

Identifiers

PMID38232161
PMCPMC12697570

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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.