Evidence map›Paper›PMID 42188252›Full record

ArticleJournal of imaging2026

Cell Structure Segmentation in TEM Images of Murine Skin Melanoma Cells by Deep Learning Model.

Mikhail A Genaev, Izabella S Gogaeva, Iuliia S Taskaeva, Nataliya P Bgatova, Mikhail V Kozhekin, Evgeniy G Komyshev, Dmitry A Afonnikov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2026. 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

7 authors.

Mikhail A GenaevFederal Research Center, Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.
Izabella S GogaevaResearch Institute of Clinical and Experimental Lymphology, Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630117, Russia.
Iuliia S TaskaevaResearch Institute of Clinical and Experimental Lymphology, Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630117, Russia.ORCID 0000-0002-2812-2574
Nataliya P BgatovaResearch Institute of Clinical and Experimental Lymphology, Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630117, Russia.ORCID 0000-0002-4507-093X
Mikhail V KozhekinFederal Research Center, Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.
Evgeniy G KomyshevFederal Research Center, Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.
Dmitry A AfonnikovFederal Research Center, Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia.ORCID 0000-0001-9738-1409

Funding

Institute of Cytology and Genetics FWNR-2026-0023
6 · The paper itself

Abstract

Mitochondria-endoplasmic reticulum contact sites (MERCs) are known as the specialized areas that are involved in a large number of intracellular signaling pathways that regulate Ca

Indexed as

deep learningendoplasmic reticulumimage segmentationmitochondriamitochondria–endoplasmic reticulum contact sitesneural networktransmission electron microscopy

Identifiers

PMID42188252
PMCPMC13208365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.