Histological Processing Automation

Histological Processing Automation is a methodological framework within the field of histotechnology that systematically integrates robotic instrumentation and computational control to standardize, accelerate, and minimize manual intervention in the sequential tissue processing stages of fixation, dehydration, clearing, infiltration, and embedding.

22

Publications

923

Citations

76

Authors

43

Institutions

Publications per year

2017–2026

5

Authors

76

  1. DS
    David S. McClintock

    Massachusetts General Hospital, United States

    2 publications · 43 citations

    2

    h-index

  2. RE
    Roy E. Lee

    Massachusetts General Hospital, United States

    2 publications · 43 citations

    2

    h-index

  3. JR
    John R. Gilbertson

    University of Pittsburgh, United States

    2 publications · 43 citations

    2

    h-index

  4. EH
    Earl H. Newcomer

    University of Connecticut, United States

    2 publications · 234 citations

    2

    h-index

  5. TG
    T G Sereda

    Perm State Agricultural Academy, Russia

    1 publications · 10 citations

    1

    h-index

1–5 of 76

Venues

  1. Science

    2 publications · 234 citations

    2

    h-index

  2. Journal of Comparative Pathology

    1 publications · 54 citations

    1

    h-index

  3. Current Diagnostic Pathology

    1 publications · 31 citations

    1

    h-index

  4. HardwareX

    1 publications · 15 citations

    1

    h-index

  5. Pancreatology

    1 publications · 52 citations

    1

    h-index

1–5