Evidence map›Paper›PMID 29335508›Full record

ArticleScientific reports2018

Label-Free, High Resolution, Multi-Modal Light Microscopy for Discrimination of Live Stem Cell Differentiation Status.

Jing Zhang, Emilia Moradi, Michael G Somekh, Melissa L Mather

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Roadmap on Label-Free Super-Resolution Imaging.Laser & photonics reviews · 2023
    Article
  3. Review
  4. Article
  5. Article
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

4 authors.

Jing ZhangInstitute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB, United Kingdom.
Emilia MoradiOptics and Photonics, Faculty of Engineering, University of Nottingham, Nottingham, NG7 2RD, United Kingdom.
Michael G SomekhDepartment of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Melissa L MatherInstitute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB, United Kingdom. m.mather@keele.ac.uk.ORCID http://orcid.org/0000-0002-5551-1321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A label-free microscopy method for assessing the differentiation status of stem cells is presented with potential application for characterization of therapeutic stem cell populations. The microscopy system is capable of characterizing live cells based on the use of evanescent wave microscopy and quantitative phase contrast (QPC) microscopy. The capability of the microscopy system is demonstrated by studying the differentiation of live immortalised neonatal mouse neural stem cells over a 15 day time course. Metrics extracted from microscope images are assessed and images compared with results from endpoint immuno-staining studies to illustrate the system's performance. Results demonstrate the potential of the microscopy system as a valuable tool for cell biologists to readily identify the differentiation status of unlabelled live cells.

Indexed as

Cell DifferentiationAnimalsBiometryCells, CulturedImage Processing, Computer-AssistedIntravital MicroscopyMiceMicroscopyNeural Stem Cells

Identifiers

PMID29335508
PMCPMC5768761

What OpenQuestion holds

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Registered trials

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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.