Author

Hannahmariam T. Mekbib

Yale UniversityORCID 0000-0003-2863-6986Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:imputation· 1

Frequent Co-Authors

Joerg BewersdorfiD· 2 shared Yuan TianiD· 2 shared Alexander Sauer· 1 shared Chen Tian-min· 1 shared Gary V. DésiriD· 1 shared Hongqing HaniD· 1 shared Jack R. RossiD· 1 shared Jens RittscheriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBiophysics

Joerg BewersdorfORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintAug 6, 2025

Pan-ASLM: a high-resolution and large-field-of-view light sheet microscope for Expansion Microscopy

Hannahmariam T. Mekbib, Lasse Pærgård Andersen, Shuwen Zhang…·Joerg Bewersdorf

The paper introduces pan-ASLM, a light sheet microscope optimized for expansion microscopy, achieving higher speed, larger field of view, and better resolution than standard confocal microscopes.

1 citation

mousehuman

Cell BiologybioRxivPreprintJul 28, 2025

Scalable automated segmentation quantifies mitochondrial proteins and morphology at the nanoscale

Yuan Tian, Alexander Sauer, Mariia Dmitrieva…·Joerg Bewersdorf

This paper introduces MAPS, a deep-learning approach for automated segmentation of mitochondrial ultrastructure in 3D pan-ExM images, enabling high-throughput quantification of morphology and protein localization.

2 citations

mousehuman