Evidence map›Paper›PMID 37690102›Full record

ArticleJournal of microscopy2024

CellProfiler plugins - An easy image analysis platform integration for containers and Python tools.

Erin Weisbart, Callum Tromans-Coia, Barbara Diaz-Rohrer, David R Stirling, Fernanda Garcia-Fossa, Rebecca A Senft, Mark C Hiner, Marcelo B de Jesus, Kevin W Eliceiri, Beth A Cimini

Abstract read
In one paragraph

Article in Journal of microscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Biomarkers in Hereditary Spastic Paraplegias.International journal of molecular sciences · 2025
    Review
  6. Article
  7. Article
  8. Piximi - An Images to Discovery web tool for bioimages and beyond.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Review
  11. ASCL1 promotes Scrt2 expression in the neural tube.Frontiers in cell and developmental biology · 2024
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Erin WeisbartImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6437-2458
Callum Tromans-CoiaImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-5518-8915
Barbara Diaz-RohrerImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-4748-7077
David R StirlingImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6802-4103
Fernanda Garcia-FossaImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2308-0149
Rebecca A SenftImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0003-0081-4170
Mark C HinerCenter for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-9404-7579
Marcelo B de JesusDepartment of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-0812-1491
Kevin W EliceiriCenter for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-8678-670X
Beth A CiminiImaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0001-9640-9318

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Center for Open Bioimage AnalysisP41GM135019 · NIGMS · BROAD INSTITUTE, INC. · PI CARPENTER, ANNE E. · 2020 to 2024
$6.9M
Chan Zuckerberg Initiative 2020-225720NIBIB NIH HHS P41 EB031772NIGMS NIH HHS P41 GM135019São Paulo Research Foundation #2019/24033-1São Paulo Research Foundation #2020/01218-3São Paulo Research Foundation #2022/01483-4
6 · The paper itself

Abstract

CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code. In addition to the >90 modules that make up the main CellProfiler program, CellProfiler has a plugins system that allows for the creation of new modules which integrate with other Python tools or tools that are packaged in software containers. The CellProfiler-plugins repository contains a number of these CellProfiler modules, especially modules that are experimental and/or dependency-heavy. Here, we present an upgraded CellProfiler-plugins repository, an example of accessing containerised tools, improved documentation and added citation/reference tools to facilitate the use and contribution of the community.

Indexed as

CellProfilerimage analysispluginPythonsoftwaresoftware containerworkflow

Identifiers

PMID37690102
PMCPMC10924770

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.