High-content Screening
High-Content Screening is a multiparametric imaging-based analysis method that enables the simultaneous quantification of cellular phenotypes across diverse biological targets and functional pathways within intact cells, distinguished by its integration of automated microscopy, fluorescent labeling, and advanced image analysis algorithms to extract spatial, temporal, and intensity data at single-cell resolution.
708
Publications
33.8K
Citations
4.3K
Authors
1.1K
Institutions
Publications per year
2017–2026
269
Variants
Hcs
Parents
708
1–5 of 708
4.3K
12
h-index
8
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8
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7
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7
h-index
1–5 of 4.3K
1.1K
Harvard University
Cambridge, United States
19 h-index
73 publications
5.2K citations
University of Pittsburgh
Pittsburgh, United States
17 h-index
120 publications
6.5K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
68 publications
4.2K citations
Inserm
Paris, France
14 h-index
67 publications
3.3K citations
Heidelberg University
Heidelberg, Germany
13 h-index
58 publications
1.8K citations

University of Toronto
Toronto, Canada
12 h-index
73 publications
6.6K citations

Trinity College Dublin
Dublin, Ireland
11 h-index
77 publications
3.7K citations

University of British Columbia
Vancouver, Canada
11 h-index
76 publications
2.2K citations
1–8 of 1.1K
81 publications · 3K citations
31
h-index
35 publications · 1.8K citations
24
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25 publications · 1.1K citations
20
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20 publications · 1.1K citations
17
h-index
9 publications · 578 citations
11
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1–5