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CellProfiler: History & Community

CellProfiler is free, open-source software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. Advanced algorithms for image analysis are available as individual modules that can be placed in sequential order together to form a pipeline; the pipeline…

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CellProfiler topic overview

The analysis highlights History and Community as prominent areas in the source structure around CellProfiler.

Related topics
29
Source areas
4
Connected nodes
33
Extracted relationships
32
Concept neighborhoods
16
Bridge connections
33

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Features · 15 topics
Overview · 9 topics
History · 4 topics
Community · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Anne E. Carpenter, Thouis Jones, Lee Kamentsky, Beth Cimini, Allen Goodman, Claire McQuin, Madison Swain-Bowden, David Stirling, Nodar Gogoberidze, and others (Broad Institute)
License
BSD 3-clause
Operating system
Any (Python-based)
Repository
github.com/CellProfiler/CellProfiler
Stable release
4.2.1 / July 22, 2021; 5 years ago (2021-07-22)
Type
Image processing & Image analysis

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Features

History

Community

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How CellProfiler connects Entity context

The extracted context around CellProfiler shows recurring relationship patterns in the source. For example, CellProfiler → Biomedical Research, Broad Institute, Cimini Lab, December, Imaging Platform, It, Massachusetts Institute, MATLAB, October, Originally, Python, September, Technology, Version, Whitehead Institute Another extracted example is CellProfiler → Biologists, Each, MySQL, Object, Specialized, SQLite, These. Use these groups to spot repeated connection types before inspecting the individual relationships.

CellProfiler

Top relations

related to history · 15
CellProfiler → Biomedical Research, Broad Institute, Cimini Lab, December, Imaging Platform, It, Massachusetts Institute, MATLAB, October, Originally, Python, September, Technology, Version, Whitehead Institute
related to Features · 7
CellProfiler → Biologists, Each, MySQL, Object, Specialized, SQLite, These
related to Community · 2
CellProfiler → Because CellProfiler, The CellProfiler
Developers · 1
CellProfiler → Anne E. Carpenter, Thouis Jones, Lee Kamentsky, Beth Cimini, Allen Goodman, Claire McQuin, Madison Swain-Bowden, David Stirling, Nodar Gogoberidze, and others (Broad Institute)
License · 1
CellProfiler → BSD 3-clause
Operating system · 1
CellProfiler → Any (Python-based)
Repository · 1
CellProfiler → github.com/CellProfiler/CellProfiler
Stable release · 1
CellProfiler → 4.2.1 / July 22, 2021; 5 years ago (2021-07-22)
Type · 1
CellProfiler → Image processing & Image analysis
Website · 1
CellProfiler → www.cellprofiler.org

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

image broad available analysis institute measure images open-source python released free modules objects microscopy developed features algorithms website software designed

CellProfiler relationships Subject–Predicate–Object triples

TTTA extracted 32 structured relationships around CellProfiler. Examples in this analysis include CellProfiler → Developers → Anne E. Carpenter, Thouis Jones, Lee Kamentsky, Beth Cimini, Allen Goodman, Claire McQuin, Madison Swain-Bowden, David Stirling, Nodar Gogoberidze, and others (Broad Institute) and CellProfiler → License → BSD 3-clause. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
CellProfilerDevelopersAnne E. Carpenter, Thouis Jones, Lee Kamentsky, Beth Cimini, Allen Goodman, Claire McQuin, Madison Swain-Bowden, David Stirling, Nodar Gogoberidze, and others (Broad Institute)1.00infobox
CellProfilerLicenseBSD 3-clause1.00infobox
CellProfilerOperating systemAny (Python-based)1.00infobox
CellProfilerRepositorygithub.com/CellProfiler/CellProfiler1.00infobox
CellProfilerStable release4.2.1 / July 22, 2021; 5 years ago (2021-07-22)1.00infobox
CellProfilerTypeImage processing & Image analysis1.00infobox
CellProfilerWebsitewww.cellprofiler.org1.00infobox
CellProfileris afree0.90text
CellProfilerrelated to CommunityBecause CellProfiler0.60section
CellProfilerrelated to CommunityThe CellProfiler0.60section
CellProfilerrelated to FeaturesBiologists0.60section
CellProfilerrelated to FeaturesSpecialized0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around CellProfiler bring nearby vocabulary together. In this analysis, examples include Image, Python and Released. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • CellProfiler
    • Image
    • Python
    • Released
    • Biologists
    • Common
    • Designed
    • Formats
    • Processing
    • Use
    • Developed
    • Free
    • Images
  • cellprofiler
    • Image
    • Python
    • Released
    • Biologists
    • Common
    • Designed
    • Formats
    • Processing
    • Use
    • Developed
    • Free
    • Images
  • image thresholding
    • Microscopy
    • Common
    • Formats
    • Learning
    • Processing
    • Images
    • Modules
    • Objects
    • Pipeline
    • Carpenter
    • Features
    • Identify
  • broad institute
    • Institute
    • Carpenter
    • Cimini
    • Imaging
    • Platform
    • Developed
    • Anne
    • Common
    • Formats
    • Others
    • Processing
    • Microscopy
  • algorithms
    • Pipeline
    • Features
    • Identify
    • Processing
    • Available
    • Free
    • Image
    • Images
    • Measure
    • Microscopy
    • Modules
    • Objects
  • fluorescence microscopy
    • Formats
    • Pipeline
    • Carpenter
    • Common
    • Processing
    • Use
    • Modules
    • Objects
    • Python
    • Website
    • Broad
    • Institute
  • open microscopy environment
    • Formats
    • Pipeline
    • Carpenter
    • Common
    • Processing
    • Use
    • Modules
    • Objects
    • Python
    • Website
    • Broad
    • Institute
  • pipeline
    • Algorithms
    • Features
    • Identify
    • Available
    • Images
    • Measure
    • Microscopy
    • Modules
    • Objects
    • Analysis
    • Image

Connections between topic areas Semantic bridges

For CellProfiler, one of the stronger structural bridges in this analysis connects CellProfiler with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
CellProfiler — Features · splits 18 ⟂ 16
CellProfiler — Overview · splits 24 ⟂ 10
CellProfiler — History · splits 29 ⟂ 5

Map overview Semantic statistics

CellProfiler

Nodes34
Edges33
Triples32
Avg. degree1.94
Density0.058824
Components1

Source & methodology

TTTA analyzes the structure around CellProfiler to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Community, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — CellProfiler · EN edition · Analysis: TopicsToTalkAbout

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