Author

Chen Tian-min

Yale University

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Cell Biology· 1

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

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Alexander Sauer· 1 shared Gary V. DésiriD· 1 shared Hannahmariam T. MekbibiD· 1 shared Hongqing HaniD· 1 shared Jens RittscheriD· 1 shared Joerg BewersdorfiD· 1 shared Mariia DmitrievaiD· 1 shared Robert L. SafirsteiniD· 1 shared

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1 shared paperCell Biology

Alexander Sauer

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1 paper

Recent·Most cited

Scalable automated segmentation quantifies mitochondrial proteins and morphology at the nanoscale

Yuan Tian, Alexander Sauer, Mariia Dmitrieva, Hongqing Han, Hannahmariam T. Mekbib, Yujin Bao, Xiaojia Guo, Chen Tian-min, Robert L. Safirstein, Gary V. Désir, Jens Rittscher, 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.

bioRxiv · Jul 28, 2025 · PreprintCell Biology