Quantitative Image Analysis
Quantitative Image Analysis is a systematic computational methodology within image science that distinguishes itself by enabling the extraction, measurement, and interpretation of numerical data from confocal microscopy images to support objective, reproducible, and statistically valid biological or material inferences.
1.4K
Publications
165.1K
Citations
7.3K
Authors
1.9K
Institutions
Publications per year
2017–2026
407
Parents
1.4K
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin, Ignacio Arganda‐Carreras, Erwin Frise et al. · Nature Methods · 2012 · 70.9K citations
CellProfiler 4: improvements in speed, utility and usability
David R. Stirling, Madison J. Swain-Bowden, Alice Lucas et al. · BMC Bioinformatics · 2021 · 2.2K citations · Full text
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The University of Texas MD Anderson Cancer Center, United States
9 publications · 707 citations
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1.9K
Harvard University
Cambridge, United States
28 h-index
97 publications
15.3K citations

Centre National de la Recherche Scientifique
Paris, France
24 h-index
135 publications
13.5K citations
Stanford University
Stanford, United States
21 h-index
156 publications
23.7K citations
Heidelberg University
Heidelberg, Germany
20 h-index
203 publications
251.3K citations
Inserm
Paris, France
18 h-index
73 publications
8.5K citations

Brigham and Women's Hospital
Boston, United States
16 h-index
67 publications
14.2K citations
Emory University
Atlanta, United States
15 h-index
58 publications
3.3K citations
The University of Texas MD Anderson Cancer Center
Houston, United States
15 h-index
121 publications
6.1K citations
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42 publications · 1.9K citations
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Repository · 47 publications · 2.1K citations
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33 publications · 1.6K citations
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27 publications · 1.4K citations
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15 publications · 5.1K citations
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