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

Authors

4.3K

  1. DL
    D. Lansing Taylor

    Carnegie Mellon University, United States

    11 publications · 793 citations

    12

    h-index

  2. LT
    Laia Tolosa

    Instituto de Investigación Sanitaria La Fe, Spain

    8 publications · 442 citations

    8

    h-index

  3. ST
    Stephen T.C. Wong

    Methodist Hospital, United States

    8 publications · 376 citations

    8

    h-index

  4. KA
    Kenneth A. Giuliano

    University of Pittsburgh, United States

    6 publications · 582 citations

    7

    h-index

  5. JS
    John S. Lazo

    University of Pittsburgh, United States

    7 publications · 337 citations

    7

    h-index

1–5 of 4.3K

Venues

  1. SLAS DISCOVERY

    81 publications · 3K citations

    31

    h-index

  2. PLoS ONE

    35 publications · 1.8K citations

    24

    h-index

  3. Assay and Drug Development Technologies

    25 publications · 1.1K citations

    20

    h-index

  4. Scientific Reports

    20 publications · 1.1K citations

    17

    h-index

  5. Nature Communications

    9 publications · 578 citations

    11

    h-index

1–5