Evidence map›Paper›PMID 29082489›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.

Mark-Anthony Bray, Anne E Carpenter

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

2 authors.

Mark-Anthony BrayNovartis Institutes for BioMedical Research, Cambridge, MA, USA.
Anne E CarpenterImaging Platform, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA. anne@broadinstitute.org.

Funding

Continued Development of CellProfiler Cell Image Analysis SoftwareR01GM089652 · NIGMS · BROAD INSTITUTE, INC. · PI CARPENTER, ANNE E. · 2010 to 2016
$3.7M
NIGMS NIH HHS R01 GM089652
6 · The paper itself

Abstract

Robust high-content screening of visual cellular phenotypes has been enabled by automated microscopy and quantitative image analysis. The identification and removal of common image-based aberrations is critical to the screening workflow. Out-of-focus images, debris, and auto-fluorescing samples can cause artifacts such as focus blur and image saturation, contaminating downstream analysis and impairing identification of subtle phenotypes. Here, we describe an automated quality control protocol implemented in validated open-source software, leveraging the suite of image-based measurements generated by CellProfiler and the machine-learning functionality of CellProfiler Analyst.

Indexed as

High-Throughput Screening AssaysMachine LearningMolecular ImagingQuality ControlCells, CulturedImage Processing, Computer-AssistedMicroscopySoftwareCell-based assaysHigh-content screeningImage analysisMachine learningMicroscopyOpen-source softwareQuality control

Identifiers

PMID29082489
PMCPMC6112602

What OpenQuestion holds

Textmetadata
LicenceTDM
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.