Evidence map›Paper›PMID 29969450›Full record

ArticlePLoS biology2018

CellProfiler 3.0: Next-generation image processing for biology.

Claire McQuin, Allen Goodman, Vasiliy Chernyshev, Lee Kamentsky, Beth A Cimini, Kyle W Karhohs, Minh Doan, Liya Ding, Susanne M Rafelski, Derek Thirstrup and 5 more

Abstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,102 papers.

0numbers the graph read from it
0cells of the map it votes in
1,102citing 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

1,102 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Synthesis of Ag/TiOScientific reports · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1,042 more citing papers are in PubMed but not listed here.

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

15 authors.

Claire McQuinImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Allen GoodmanImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Vasiliy ChernyshevSkolkovo Institute of Science and Technology, Skolkovo, Moscow Region, Russia.
Lee KamentskyImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Beth A CiminiImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Kyle W KarhohsImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Minh DoanImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Liya DingAllen Institute for Cell Science, Seattle, Washington, United States of America.
Susanne M RafelskiAllen Institute for Cell Science, Seattle, Washington, United States of America.
Derek ThirstrupAllen Institute for Cell Science, Seattle, Washington, United States of America.
Winfried WiegraebeAllen Institute for Cell Science, Seattle, Washington, United States of America.
Shantanu SinghImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Tim BeckerImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Juan C CaicedoImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Anne E CarpenterImaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.

Funding

Extracting rich information from biological imagesR35GM122547 · NIGMS · BROAD INSTITUTE, INC. · PI Anne E. Carpenter · 2017 to 2026
$6.2M
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 GM089652NIGMS NIH HHS R35 GM122547
6 · The paper itself

Abstract

CellProfiler has enabled the scientific research community to create flexible, modular image analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new version of the software supporting both whole-volume and plane-wise analysis of three-dimensional (3D) image stacks, increasingly common in biomedical research. CellProfiler's infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. Designed by and for biologists, CellProfiler equips researchers with powerful computational tools via a well-documented user interface, empowering biologists in all fields to create quantitative, reproducible image analysis workflows.

Indexed as

Image Processing, Computer-AssistedSoftwareAnimalsCell NucleusDeep LearningDNAHumansImaging, Three-DimensionalInduced Pluripotent Stem CellsMiceRNA, MessengerDNARNA, Messenger

Identifiers

PMID29969450
PMCPMC6029841

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.