Evidence map›Paper›PMID 37162841›Full record

ArticlebioRxiv : the preprint server for biology2023

ANDA: An open-source tool for automated image analysis of neuronal differentiation.

Hallvard Austin Wæhler, Nils-Anders Labba, Ragnhild Elisabeth Paulsen, Geir Kjetil Sandve, Ragnhild Eskeland

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hallvard Austin WæhlerInstitute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.
Nils-Anders LabbaInstitute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.
Ragnhild Elisabeth PaulsenSection for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Norway.
Geir Kjetil SandveDepartment of Informatics, University of Oslo, Norway.
Ragnhild EskelandInstitute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.

Funding

Neuroimaging Informatics Tools and Resources Clearinghouse Outreach, Infrastructure, and Content MaintenanceU24EB023398 · NIBIB · TCG, INC. · PI KENNEDY, DAVID NELSON, PREUSS, NINA · 2016 to 2018
$1.7M
NITRC Image Repository: A Commercial Solution to Advancing Data Sharing in NeuroscienceR44NS074540 · NINDS · TCG, INC. · PI BUCCIGROSSI, ROBERT, KENNEDY, DAVID NELSON · 2015 to 2017
$1.1M
NITRC Image Repository: A Commercial Solution to Advancing Data Sharing in NeurosR43NS074540 · NINDS · TCG, INC. · PI PREUSS, NINA · 2011 to 2011
$150k
NIBIB NIH HHS U24 EB023398NINDS NIH HHS R43 NS074540NINDS NIH HHS R44 NS074540
6 · The paper itself

Abstract

Background: Imaging of Results: We present ANDA, an analysis workflow for quantification of various aspects of neuronal morphology from high-throughput live-cell imaging screens. This tool automates the analysis of neuronal cell numbers, neurite lengths and neurite attachment points. We used rat, chicken and human Conclusions: ANDA is an open-source tool that is easy to use and capable of automated processing from time-course measurements of neuronal cells. The strength of this pipeline is the capability to analyse high-throughput imaging screens.

Indexed as

automated image processingHigh-throughput imagingneurite morphologyneuronal differentiation

Identifiers

PMID37162841
PMCPMC10168306

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.