Evidence map›Paper›PMID 29134187›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2017

Method for evaluation of human induced pluripotent stem cell quality using image analysis based on the biological morphology of cells.

Takashi Wakui, Tsuyoshi Matsumoto, Kenta Matsubara, Tomoyuki Kawasaki, Hiroshi Yamaguchi, Hidenori Akutsu

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

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  5. Automated Image-Based Profiling of Pluripotent Stem Cell Colonies.bioRxiv : the preprint server for biology · 2025
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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

6 authors at 1 institution in 1 country.

Takashi WakuiFUJIFILM, Minamiashigara, Japan.
Tsuyoshi MatsumotoFUJIFILM, Minamiashigara, Japan.
Kenta MatsubaraFUJIFILM, Minamiashigara, Japan.
Tomoyuki KawasakiNational Research Institute for Child Health and Development, Tokyo, Japan.
Hiroshi YamaguchiFUJIFILM, Minamiashigara, Japan.
Hidenori AkutsuNational Research Institute for Child Health and Development, Tokyo, Japan.
Fujifilm (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose an image analysis method for quality evaluation of human pluripotent stem cells based on biologically interpretable features. It is important to maintain the undifferentiated state of induced pluripotent stem cells (iPSCs) while culturing the cells during propagation. Cell culture experts visually select good quality cells exhibiting the morphological features characteristic of undifferentiated cells. Experts have empirically determined that these features comprise prominent and abundant nucleoli, less intercellular spacing, and fewer differentiating cellular nuclei. We quantified these features based on experts' visual inspection of phase contrast images of iPSCs and found that these features are effective for evaluating iPSC quality. We then developed an iPSC quality evaluation method using an image analysis technique. The method allowed accurate classification, equivalent to visual inspection by experts, of three iPSC cell lines.

Indexed as

biological featurescell qualityinduced pluripotent stem cellmachine learningvisual inspection

Identifiers

PMID29134187
PMCPMC5668125
OpenAlexW2766039749

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.