Evidence map›Paper›PMID 32094293›Full record

ArticleeNeuro

Capillary-Based and Stokes-Based Trapping of Serial Sections for Scalable 3D-EM Connectomics.

Timothy J Lee, Mighten C Yip, Aditi Kumar, Colby F Lewallen, Daniel J Bumbarger, R Clay Reid, Craig R Forest

Open access · goldAbstract read
In one paragraph

Article in eNeuro. 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
0.1field-weighted citation impact, top 60% of its field
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, 1 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Timothy J LeeGeorgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332 timothy.lee@gatech.edu.
Mighten C YipGeorgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332.
Aditi KumarGeorgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332.
Colby F LewallenGeorgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332.
Daniel J BumbargerAllen Institute for Brain Science, Seattle, WA 98109.
R Clay ReidAllen Institute for Brain Science, Seattle, WA 98109.
Craig R ForestGeorgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332.ORCID 0000-0001-5343-1769
Georgia Institute of Technology · USAllen Institute for Brain Science · US

Funding

High-throughput robotic analysis of integrated neuronal phenotypesR01EY023173 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2012 to 2016
$4.3M
Scalable Cell- and Circuit-Targeted ElectrophysiologyR01NS102727 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2017 to 2020
$2.2M
In-vivo circuit activity measurement at single cell, sub-threshold resolutionU01MH106027 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI FOREST, CRAIG, STANLEY, GARRETT B. · 2014 to 2016
$1.5M
NEI NIH HHS R01 EY023173NIMH NIH HHS U01 MH106027NINDS NIH HHS R01 NS102727
6 · The paper itself

Abstract

Serial section electron microscopy (ssEM), a technique where volumes of tissue can be anatomically reconstructed by imaging consecutive tissue slices, has proven to be a powerful tool for the investigation of brain anatomy. Between the process of cutting the slices, or "sections," and imaging them, however, handling 10°-10

Indexed as

ConnectomeBrainMicroscopy, ElectronMicrotomycapillary interactionselectron microscopyhistologyhydrodynamicserial sectioningultrastructure

Identifiers

PMID32094293
PMCPMC7174874
OpenAlexW3008519575

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.