Evidence map›Paper›PMID 23336070›Full record

ArticleScientific reports2013

Cell sorting in a Petri dish controlled by computer vision.

Z Környei, S Beke, T Mihálffy, M Jelitai, K J Kovács, Z Szabó, B Szabó

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. International journal of molecular sciences · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Artificial neural networks enabled by nanophotonics.Light, science & applications · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors.

Z KörnyeiInstitute of Experimental Medicine of the Hungarian Academy of Sciences, Budapest, Hungary.
S Beke
T Mihálffy
M Jelitai
K J Kovács
Z Szabó
B Szabó

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence-activated cell sorting (FACS) applying flow cytometry to separate cells on a molecular basis is a widespread method. We demonstrate that both fluorescent and unlabeled live cells in a Petri dish observed with a microscope can be automatically recognized by computer vision and picked up by a computer-controlled micropipette. This method can be routinely applied as a FACS down to the single cell level with a very high selectivity. Sorting resolution, i.e., the minimum distance between two cells from which one could be selectively removed was 50-70 micrometers. Survival rate with a low number of 3T3 mouse fibroblasts and NE-4C neuroectodermal mouse stem cells was 66 ± 12% and 88 ± 16%, respectively. Purity of sorted cultures and rate of survival using NE-4C/NE-GFP-4C co-cultures were 95 ± 2% and 62 ± 7%, respectively. Hydrodynamic simulations confirmed the experimental sorting efficiency and a cell damage risk similar to that of normal FACS.

Indexed as

3T3 CellsAnimalsAnimals, NewbornAstrocytesCell LineCells, CulturedCell SeparationCell SurvivalCoculture TechniquesFlow CytometryGreen Fluorescent ProteinsHEK293 CellsHumansImage Processing, Computer-AssistedKeratinocytesMiceGreen Fluorescent Proteins

Identifiers

PMID23336070
PMCPMC3548191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.