Evidence map›Paper›PMID 38148118›Full record

ReviewJournal of molecular cell biology2024

Morphomics via next-generation electron microscopy.

Raku Son, Kenji Yamazawa, Akiko Oguchi, Mitsuo Suga, Masaru Tamura, Motoko Yanagita, Yasuhiro Murakawa, Satoshi Kume

Abstract readReview
In one paragraph

Review in Journal of molecular cell biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

8 authors.

Raku SonR IKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Kenji YamazawaAdvanced Manufacturing Support Team, RIKEN Center for Advanced Photonics, Wako 351-0198, Japan.
Akiko OguchiR IKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Mitsuo SugaMultimodal Microstructure Analysis Unit, RIKEN-JEOL Collaboration Center, Kobe 650-0047, Japan.
Masaru TamuraTechnology and Development Team for Mouse Phenotype Analysis, RIKEN BioResource Research Center, Tsukuba 305-0074, Japan.
Motoko YanagitaDepartment of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0002-0339-9008
Yasuhiro MurakawaR IKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Satoshi KumeLaboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.

Funding

JSPS 18K19766
6 · The paper itself

Abstract

The living body is composed of innumerable fine and complex structures. Although these structures have been studied in the past, a vast amount of information pertaining to them still remains unknown. When attempting to observe these ultra-structures, the use of electron microscopy (EM) has become indispensable. However, conventional EM settings are limited to a narrow tissue area, which can bias observations. Recently, new trends in EM research have emerged, enabling coverage of far broader, nano-scale fields of view for two-dimensional wide areas and three-dimensional large volumes. Moreover, cutting-edge bioimage informatics conducted via deep learning has accelerated the quantification of complex morphological bioimages. Taken together, these technological and analytical advances have led to the comprehensive acquisition and quantification of cellular morphology, which now arises as a new omics science termed 'morphomics'.

Indexed as

Microscopy, ElectronAnimalsHumansImaging, Three-Dimensional3D bioimagingcomprehensive morphological analysisdeep learningimaging databasenext-generation electron microscopy

Identifiers

PMID38148118
PMCPMC11167312

What Socratic 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 Socratic graph.