Microscopy Automation

Microscopy Automation is a methodological innovation in mycobacterial diagnostics that employs automated imaging and computational analysis systems to identify acid-fast bacilli in microscopic specimens, thereby enhancing the throughput and reproducibility of traditional manual microscopy techniques.

124

Publications

6.9K

Citations

586

Authors

245

Institutions

Publications per year

2017–2026

41

Authors

586

  1. JT
    Joel T. Collins

    University of Bath, United Kingdom

    3 publications · 231 citations

    3

    h-index

  2. MZ
    Michael Zeder

    University of Zurich, Switzerland

    3 publications · 96 citations

    3

    h-index

  3. BK
    Benjamin K. Wilson

    Intellectual Ventures (United States), United States

    3 publications · 127 citations

    3

    h-index

  4. LH
    Liming Hu

    Nanchang University, China

    2 publications · 116 citations

    2

    h-index

  5. JP
    Jakob Pernthaler

    University of Zurich, Switzerland

    2 publications · 47 citations

    2

    h-index

1–5 of 586

Venues

  1. Journal of Microscopy

    7 publications · 340 citations

    7

    h-index

  2. Scientific Reports

    5 publications · 197 citations

    5

    h-index

  3. PLoS ONE

    4 publications · 110 citations

    4

    h-index

  4. Review of Scientific Instruments

    3 publications · 61 citations

    3

    h-index

  5. Cytometry

    3 publications · 137 citations

    3

    h-index

1–5