Histological Alignment

Histological Alignment is a computational method that integrates spatial transcriptomics data with histological images by mapping gene expression profiles to corresponding tissue morphological structures, thereby enabling the contextual interpretation of molecular activity within preserved tissue architecture.

14

Publications

643

Citations

89

Authors

44

Institutions

Publications per year

2017–2026

6

Authors

89

  1. AM
    Anant Madabhushi

    Case Western Reserve University, United States

    1 publications · 20 citations

    1

    h-index

  2. ME
    Markus Ekvall

    KTH Royal Institute of Technology, Sweden

    1 publications · 33 citations

    1

    h-index

  3. JH
    JOHN H. HARP

    University of Arkansas for Medical Sciences, United States

    1 publications · 230 citations

    1

    h-index

  4. ML
    Mohammad Lotfollahi

    Helmholtz Zentrum München, Germany

    1 publications · 58 citations

    1

    h-index

  5. ED
    Emily D. Prévost

    University of Colorado Boulder, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 89

Venues

  1. Journal of Neuroscience Methods

    2 publications · 49 citations

    2

    h-index

  2. Briefings in Bioinformatics

    1 publications · 58 citations

    1

    h-index

  3. Cerebral Cortex

    1 publications · 112 citations

    1

    h-index

  4. eNeuro

    1 publications · 27 citations

    1

    h-index

  5. The Tohoku Journal of Experimental Medicine

    1 publications · 12 citations

    1

    h-index

1–5