Cell Feature Detection

Cell Feature Detection is a computational method that identifies and characterizes morphological, molecular, or functional attributes of individual cells within biological images or high-dimensional datasets, distinguishing it from broader feature detection approaches by its specific focus on cellular-level phenotypic properties.

383

Publications

21.6K

Citations

1.7K

Authors

680

Institutions

Publications per year

2017–2026

195

Authors

1.7K

  1. AE
    Anne E. Carpenter

    Broad Institute, United States

    12 publications · 2.3K citations

    12

    h-index

  2. SS
    Shantanu Singh

    Broad Institute, United States

    4 publications · 183 citations

    4

    h-index

  3. DM
    David M. Sabatini

    Whitehead Institute for Biomedical Research, United States

    4 publications · 1.9K citations

    4

    h-index

  4. ST
    Stephen T.C. Wong

    Methodist Hospital, United States

    4 publications · 185 citations

    4

    h-index

  5. WG
    Wied Gl

    University of Illinois Chicago, United States

    4 publications · 66 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. Scientific Reports

    10 publications · 674 citations

    10

    h-index

  2. PLoS ONE

    9 publications · 294 citations

    9

    h-index

  3. IEEE Transactions on Medical Imaging

    8 publications · 315 citations

    8

    h-index

  4. BMC Bioinformatics

    8 publications · 829 citations

    8

    h-index

  5. Cytometry Part A

    8 publications · 261 citations

    8

    h-index

1–5