Image-based Screening

Image-Based Screening is a phenotypic screening method that uses high-resolution imaging technologies to capture and analyze cellular or organismal phenotypes, distinguishing itself by enabling spatially resolved, morphological, and subcellular feature extraction at single-cell or tissue levels.

164

Publications

8.7K

Citations

967

Authors

309

Institutions

Publications per year

2017–2026

65

Variants

High-content Analysis

Authors

967

  1. AE
    Anne E. Carpenter

    Broad Institute, United States

    7 publications · 840 citations

    7

    h-index

  2. XZ
    Xiaobo Zhou

    The University of Texas Health Science Center at Houston, United States

    6 publications · 221 citations

    6

    h-index

  3. ST
    Stephen T.C. Wong

    Methodist Hospital, United States

    6 publications · 273 citations

    6

    h-index

  4. NP
    Norbert Perrimon

    Harvard University, United States

    3 publications · 95 citations

    3

    h-index

  5. NA
    Neil A. Hukriede

    University of Pittsburgh, United States

    3 publications · 203 citations

    3

    h-index

1–5 of 967

Venues

  1. SLAS DISCOVERY

    11 publications · 663 citations

    10

    h-index

  2. PLoS ONE

    7 publications · 346 citations

    7

    h-index

  3. Journal of Visualized Experiments

    6 publications · 254 citations

    6

    h-index

  4. BMC Bioinformatics

    5 publications · 114 citations

    5

    h-index

  5. Scientific Reports

    5 publications · 174 citations

    5

    h-index

1–5