Evidence map›Paper›PMID 37002377›Full record

ArticleNature methods2023

Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data.

Yuanlong Zhang, Guoxun Zhang, Xiaofei Han, Jiamin Wu, Ziwei Li, Xinyang Li, Guihua Xiao, Hao Xie, Lu Fang, Qionghai Dai

Abstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  9. Biphasic acclimation for simultaneous wide-field fluorescent CaImaging neuroscience (Cambridge, Mass.) · 2026
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  16. Voltage Imaging with Periodic Structured Illumination.bioRxiv : the preprint server for biology · 2025
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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.

Yuanlong Zhang *Department of Automation, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3725-1973
Guoxun Zhang *Department of Automation, Tsinghua University, Beijing, China.
Xiaofei HanDepartment of Automation, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-8562-6488
Jiamin WuDepartment of Automation, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3479-1026
Ziwei LiShanghai Artificial Intelligence Laboratory, Shanghai, China.
Xinyang LiDepartment of Automation, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3880-5448
Guihua XiaoDepartment of Automation, Tsinghua University, Beijing, China.
Hao XieDepartment of Automation, Tsinghua University, Beijing, China.
Lu FangDepartment of Electronic Engineering, Tsinghua University, Beijing, China. fanglu@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3552-0367
Qionghai DaiDepartment of Automation, Tsinghua University, Beijing, China. qhdai@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7043-3061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widefield microscopy can provide optical access to multi-millimeter fields of view and thousands of neurons in mammalian brains at video rate. However, tissue scattering and background contamination results in signal deterioration, making the extraction of neuronal activity challenging, laborious and time consuming. Here we present our deep-learning-based widefield neuron finder (DeepWonder), which is trained by simulated functional recordings and effectively works on experimental data to achieve high-fidelity neuronal extraction. Equipped with systematic background contribution priors, DeepWonder conducts neuronal inference with an order-of-magnitude-faster speed and improved accuracy compared with alternative approaches. DeepWonder removes background contaminations and is computationally efficient. Specifically, DeepWonder accomplishes 50-fold signal-to-background ratio enhancement when processing terabytes-scale cortex-wide functional recordings, with over 14,000 neurons extracted in 17 h.

Indexed as

BrainCalciumAnimalsCerebral CortexMammalsMicroscopyNeuronsCalcium

Identifiers

PMID37002377
PMCPMC10172132

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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.