ArticlebioRxiv : the preprint server for biology2023
Large-scale deep tissue voltage imaging with targeted illumination confocal microscopy.
Sheng Xiao, William J Cunningham, Krishnakanth Kondabolu, Eric Lowet, Maria V Moya, Rebecca Mount, Cara Ravasio, Michael N Economo, Xue Han, Jerome Mertz
Abstract readPreprint
In one paragraphArticle in bioRxiv : the preprint server for biology, 2023. 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
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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 registryThe trial behind it
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
10 authors.
Sheng XiaoDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
William J CunninghamDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Krishnakanth KondaboluDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Eric LowetDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Maria V MoyaDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Rebecca MountDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Cara RavasioDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Michael N EconomoDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Xue HanDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Jerome MertzDepartment of Biomedical Engineering, Boston University, Boston MA 02215.
Funding
Multidimensional Optimization of Voltage Indicators for In Vivo Neural Activity ImagingR01MH122971 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HAN, XUE · 2020 to 2024
$3.4MHigh-throughput mapping of synaptic connectivity between transcriptomically defined cell typesRF1MH126882 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ECONOMO, MICHAEL NICHOLAS · 2022 to 2022
$1.4MUltrafast high-contrast voltage imaging in freely moving animalsR34NS127098 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MERTZ, JEROME · 2022 to 2022
$655kA Scalable Method for Mapping Microconnectivity in Transcriptomically Distinct Neuron TypesF32MH129149 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MOYA, MARIA VICTORIA · 2022 to 2024
$150kNIMH NIH HHS F32 MH129149NIMH NIH HHS R01 MH122971NIMH NIH HHS RF1 MH126882NINDS NIH HHS R34 NS127098
6 · The paper itselfAbstract
Voltage imaging with cellular specificity has been made possible by the tremendous advances in genetically encoded voltage indicators (GEVIs). However, the kilohertz rates required for voltage imaging lead to weak signals. Moreover, out-of-focus fluorescence and tissue scattering produce background that both undermines signal-to-noise ratio (SNR) and induces crosstalk between cells, making reliable
Identifiers
PMID37502929
PMCPMC10370169
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