Author

B. Starich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

D. Wirtz· 2 shared J. M. Phillip· 2 shared J. Walston· 2 shared M. Karl· 2 shared W. Du· 2 shared A. Agrawal· 1 shared A. Giri· 1 shared A. Johnston· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersPathology

D. Wirtz

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

qMAP Enabled Microanatomical Mapping of Human Skin Aging

K. S. Han, I. B. Sander, J. Kumer, E. P. Resnick, C. Booth, Y. Im, G. Cheng, B. Starich, A. L. Kiemen, J. M. Phillip, S. Reddy, C. Joshu, J. Sunshine, J. Walston, D. Wirtz, P.-H. Wu

This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.

bioRxiv · Apr 3, 2024 · PreprintPathology

Small extracellular vesicles promote stiffness-mediated metastasis

A. Sneider, Y. Liu, B. Starich, W. Du, C. Marar, N. Faqih, G. E. Ciotti, J. H. Kim, S. Krishnan, S. Ibrahim, M. Igboko, A. Locke, D. M. Lewis, H. Hong, M. Karl, , D. Wirtz

The paper shows that breast cancer cell-derived small extracellular vesicles (EVs) become more adhesive and metastatic when produced in stiff matrices, promoting cancer spread through enhanced chemotaxis and fibroblast reprogramming.

bioRxiv · Jul 1, 2023Cancer Biology

Profiling Dynamic Patterns of Single-cell Motility

D. Maity, N. Sivakumar, P. Kamat, N. Zamponi, C. Min, W. Du, H. Jayatilaka, A. Giri, A. Johnston, B. Starich, M. Karl, A. Agrawal, D. Riley, L. Venturitti, A. Melnick, , J. M. Phillip

This study introduces CaMI, a framework to classify single-cell motility patterns, revealing heterogeneity and dynamics not captured by traditional ensemble methods.

bioRxiv · Sep 21, 2022Bioengineering