Evidence map›Paper›PMID 39578627›Full record

ArticleNature methods2025

Super-resolution imaging of fast morphological dynamics of neurons in behaving animals.

Yujie Zhang, Lu Bai, Xin Wang, Yuchen Zhao, Tianlei Zhang, Lichen Ye, Xufei Du, Zhe Zhang, Jiulin Du, Kai Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 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

10 authors.

Yujie ZhangInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0003-2712-8824
Lu BaiInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0007-4906-8187
Xin WangInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yuchen ZhaoInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Tianlei ZhangInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Lichen YeInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Xufei DuInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-4599-0074
Zhe ZhangInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-0899-8077
Jiulin DuInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Kai WangInstitute of Neuroscience, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. wangkai@ion.ac.cn.ORCID http://orcid.org/0000-0001-7858-944X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurons are best studied in their native states in which their functional and morphological dynamics support animals' natural behaviors. Super-resolution microscopy can potentially reveal these dynamics in higher details but has been challenging in behaving animals due to severe motion artifacts. Here we report multiplexed, line-scanning, structured illumination microscopy, which can tolerate motion of up to 50 μm s

Indexed as

Behavior, AnimalNeuronsAnimalsAxonsBrainDendritic SpinesDisks Large Homolog 4 ProteinMaleMiceMice, Inbred C57BLSleepWakefulnessDisks Large Homolog 4 Protein

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.