Evidence map›Paper›PMID 37333305›Full record

ArticleResearch square2023

De-scattering Deep Neural Network Enables Fast Imaging of Spines through Scattering Media by Temporal Focusing Microscopy.

Zhun Wei, Josiah R Boivin, Yi Xue, Kendyll Burnell, Navodini Wijethilake, Xudong Chen, Peter T C So, Elly Nedivi, Dushan N Wadduwage

Abstract readPreprint
In one paragraph

Article in Research square, 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
–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

9 authors.

Zhun WeiCenter for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-8699-3749
Josiah R BoivinPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Yi XueDept. of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0003-2622-083X
Kendyll BurnellPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Navodini WijethilakeCenter for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA.
Xudong ChenDepartment of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117583, Singapore.
Peter T C SoDept. of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA.ORCID 0000-0003-4698-6488
Elly NediviPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-1710-0767
Dushan N WadduwageCenter for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-0689-9454

Funding

Wide-Field Short-Wave Infrared (SWIR) multiphoton (MP) tissue imagingP41EB015871 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2012 to 2021
$11.3M
Novel implementation of Temporal Focusing Line Scanning for Fast Imaging of Synaptic Structural Dynamics in vivoR21NS105070 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI NEDIVI, ELLY, SO, PETER T. · 2017 to 2018
$437k
Development of Line-Scan Temporal Focusing for fast structural imaging of synapse assembly/disassembly in vivoF32MH115441 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOIVIN, JOSIAH R · 2017 to 2021
$231k
NIBIB NIH HHS P41 EB015871NIMH NIH HHS F32 MH115441NINDS NIH HHS R21 NS105070
6 · The paper itself

Abstract

Today the gold standard for

Identifiers

PMID37333305
PMCPMC10275030

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.