Evidence map›Paper›PMID 36303315›Full record

ReviewBioinformatics (Oxford, England)2022

Neuron tracing from light microscopy images: automation, deep learning and bench testing.

Yufeng Liu, Gaoyu Wang, Giorgio A Ascoli, Jiangning Zhou, Lijuan Liu

Open access · hybridAbstract readReview
In one paragraph

Review in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
12.4field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Yufeng LiuSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Gaoyu WangSchool of Computer Science and Engineering, Southeast University, Nanjing, China.
Giorgio A AscoliCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA.
Jiangning ZhouInstitute of Brain Science, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Lijuan LiuSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, China.ORCID 0000-0002-9548-6183
Southeast University · CNAnhui Medical University · CNGeorge Mason University · US

Funding

Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
Cytoskeletal mechanisms of dendrite arbor shape developmentR01NS086082 · NINDS · GEORGIA STATE UNIVERSITY · PI ASCOLI, GIORGIO A, COX, DANIEL N · 2013 to 2023
$3.1M
Long-range neuronal projections: circuit blueprint or stochastic targeting? Rigorous classification of brain-wide axonal reconstructionsRF1MH128693 · NIMH · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 2021 to 2021
$1.3M
NIH HHS R01NS36000NIMH NIH HHS RF1 MH128693NINDS NIH HHS R01 NS039600NINDS NIH HHS R01 NS086082
6 · The paper itself

Abstract

motivationLarge-scale neuronal morphologies are essential to neuronal typing, connectivity characterization and brain modeling. It is widely accepted that automation is critical to the production of neuronal morphology. Despite previous survey papers about neuron tracing from light microscopy data in the last decade, thanks to the rapid development of the field, there is a need to update recent progress in a review focusing on new methods and remarkable applications.

resultsThis review outlines neuron tracing in various scenarios with the goal to help the community understand and navigate tools and resources. We describe the status, examples and accessibility of automatic neuron tracing. We survey recent advances of the increasingly popular deep-learning enhanced methods. We highlight the semi-automatic methods for single neuron tracing of mammalian whole brains as well as the resulting datasets, each containing thousands of full neuron morphologies. Finally, we exemplify the commonly used datasets and metrics for neuron tracing bench testing.

Indexed as

Deep LearningMicroscopyAlgorithmsAnimalsAutomationImaging, Three-DimensionalMammalsNeurons

Identifiers

PMID36303315
PMCPMC9750132
OpenAlexW4307502375

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.