Evidence map›Paper›PMID 39655901›Full record

ArticleeLife2024

A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus.

Csaba Dávid, Kristóf Giber, Katalin Kerti-Szigeti, Mihály Köllő, Zoltan Nusser, Laszlo Acsady

Abstract read
In one paragraph

Article in eLife, 2024. 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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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

6 authors.

Csaba DávidLendület Laboratory of Thalamus Research, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.ORCID https://orcid.org/0000-0003-4221-9468
Kristóf GiberLendület Laboratory of Thalamus Research, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.
Katalin Kerti-SzigetiLaboratory of Cellular Neurophysiology, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.
Mihály KöllőLaboratory of Cellular Neurophysiology, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.
Zoltan NusserLaboratory of Cellular Neurophysiology, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.
Laszlo AcsadyLendület Laboratory of Thalamus Research, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.ORCID https://orcid.org/0000-0002-0679-2980

Funding

European Research Council 293681European Research Council FRONTHAL 742595European Union Artificial Intelligence National Laboratory RRF-2.3.1-21-2022-00004Hungarian Academy of Sciences Lendület_2023_90Hungarian Academy of Sciences Lendület LP2012-29Wellcome TrustWellcome Trust 10.35802/094513
6 · The paper itself

Abstract

Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here, we propose a spatial autocorrelation method based on Local Moran's

Indexed as

Image Processing, Computer-AssistedThalamusAlgorithmsAnimalsMiceMicroscopy, Confocalclusterimage segmentationmouseneurosciencepotassium channelssomatosensorythalamusvoltage-gated ion channels

Identifiers

PMID39655901
PMCPMC11630814

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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.