Evidence map›Paper›PMID 34691959›Full record

ArticleNational science review2019

Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution.

Hao Wang, Qingyuan Zhu, Lufeng Ding, Yan Shen, Chao-Yu Yang, Fang Xu, Chang Shu, Yujie Guo, Zhiwei Xiong, Qinghong Shan and 13 more

Abstract read
In one paragraph

Article in National science review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  5. Binocular Circuitry as a Model for Understanding Experience-Dependent Circuit Development across the Mammalian Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
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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

23 authors.

Hao WangHefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.ORCID 0000-0001-7958-3090
Qingyuan ZhuHefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Lufeng DingCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Yan ShenCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Chao-Yu YangCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Fang XuCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Chang ShuInstitute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Yujie GuoHefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Zhiwei XiongSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China.
Qinghong ShanCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Fan JiaWuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.
Peng SuWuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.
Qian-Ru YangCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Bing LiCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Yuxiao ChengCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Xiaobin HeWuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.
Xi ChenInstitute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Feng WuSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China.
Jiang-Ning ZhouCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Fuqiang XuWuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.
Hua HanInstitute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Pak-Ming LauCAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Guo-Qiang BiHefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The speed of high-resolution optical imaging has been a rate-limiting factor for meso-scale mapping of brain structures and functional circuits, which is of fundamental importance for neuroscience research. Here, we describe a new microscopy method of Volumetric Imaging with Synchronized on-the-fly-scan and Readout (VISoR) for high-throughput, high-quality brain mapping. Combining synchronized scanning beam illumination and oblique imaging over cleared tissue sections in smooth motion, the VISoR system effectively eliminates motion blur to obtain undistorted images. By continuously imaging moving samples without stopping, the system achieves high-speed 3D image acquisition of an entire mouse brain within 1.5 hours, at a resolution capable of visualizing synaptic spines. A pipeline is developed for sample preparation, imaging, 3D image reconstruction and quantification. Our approach is compatible with immunofluorescence methods, enabling flexible cell-type specific brain mapping and is readily scalable for large biological samples such as primate brains. Using this system, we examined behaviorally relevant whole-brain neuronal activation in 16 c-Fos-shEGFP mice under resting or forced swimming conditions. Our results indicate the involvement of multiple subcortical areas in stress response. Intriguingly, neuronal activation in these areas exhibits striking individual variability among different animals, suggesting the necessity of sufficient cohort size for such studies.

Indexed as

activity trace mappingbrain mappingfluorescence microscopyimmunostainingtissue clearing

Identifiers

PMID34691959
PMCPMC8291554

What OpenQuestion holds

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LicenceCC BY
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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.