Evidence map›Paper›PMID 39712646›Full record

ReviewNeurophotonics2025

Expansion microscopy reveals neural circuit organization in genetic animal models.

Shakila Behzadi, Jacquelin Ho, Zainab Tanvir, Gal Haspel, Limor Freifeld, Kristen E Severi

Abstract readReview
In one paragraph

Review in Neurophotonics, 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

6 authors.

Shakila BehzadiNew Jersey Institute of Technology, Federated Department of Biological Sciences, Newark, New Jersey, United States.
Jacquelin HoAlbert Einstein College of Medicine, Departments of Genetics and Neuroscience, Bronx, New York, United States.ORCID https://orcid.org/0000-0003-2737-0231
Zainab TanvirRutgers University, Departments of Cell Biology and Neuroscience and of Genetics, New Brunswick, New Jersey, United States.ORCID https://orcid.org/0000-0003-2432-5611
Gal HaspelNew Jersey Institute of Technology, Federated Department of Biological Sciences, Newark, New Jersey, United States.ORCID https://orcid.org/0000-0001-6701-697X
Limor FreifeldTechnion - Israel Institute of Technology, Faculty of Biomedical Engineering, Haifa, Israel.ORCID https://orcid.org/0000-0002-0739-6947
Kristen E SeveriNew Jersey Institute of Technology, Federated Department of Biological Sciences, Newark, New Jersey, United States.ORCID https://orcid.org/0000-0002-4568-1538

Funding

Neuroendocrine Control of Synaptic Connectivity.R01NS125134 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Hannes Erich Buelow · 2022 to 2026
$2.5M
Role of semaphorin signaling in neuronal recovery from dendritic injury: a comparative case study in-vitro and in-vivoR15NS125565 · NINDS · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI HASPEL, GAL, TRAN, TRACY S · 2022 to 2022
$454k
NINDS NIH HHS R01 NS125134NINDS NIH HHS R15 NS125565
6 · The paper itself

Abstract

Expansion microscopy is a super-resolution technique in which physically enlarging the samples in an isotropic manner increases inter-molecular distances such that nano-scale structures can be resolved using light microscopy. This is particularly useful in neuroscience as many important structures are smaller than the diffraction limit. Since its invention in 2015, a variety of expansion microscopy protocols have been generated and applied to advance knowledge in many prominent organisms in neuroscience, including zebrafish, mice,

Indexed as

connectomicsexpansion microscopygenetic modelsneural circuitsresolution

Identifiers

PMID39712646
PMCPMC11660448

What OpenQuestion holds

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Registered trials

None linked

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.