Author

M. LeBoeuf

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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Pathology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

B. Christensen· 2 shared G. Srinivasan· 2 shared J. Levy· 2 shared L. Vaickus· 2 shared M. Davis· 2 shared Y. Lu· 2 shared A. Diallo· 1 shared A. Suvarna· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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2 shared papersPathology

B. Christensen

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

DeltaAI: Semi-Autonomous Tissue Grossing Measurements and Recommendations using Neural Radiance Fields for Rapid, Complete Intraoperative Histological Assessment of Tumor Margins

A. Suvarna, R. Vempati, R. Chacko, G. Srinivasan, Y. Lu, B. Hunt, V. Torres, K. Samkoe, M. Davis, L. Fu, B. Christensen, L. Vaickus, M. LeBoeuf, J. Levy

DeltaAI uses Neural Radiance Fields to create 3D tissue models for faster and more accurate intraoperative tumor margin assessment in Mohs Micrographic Surgery.

bioRxiv · Aug 7, 2023 · PreprintPathology

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

G. Srinivasan, M. Davis, M. LeBoeuf, M. Fatemi, Z. Azher, Y. Lu, A. Diallo, M. Montivero, F. Kolling, L. Perrard, L. Salas, B. Christensen, S. Palisoul, G. Tsongalis, L. Vaickus, , J. Levy

This paper develops machine learning models to infer spatial transcriptomics data from H&E-stained skin slides, improving the assessment of photoaging and its therapeutic implications.

bioRxiv · Jul 30, 2023 · PreprintPathology

Stable Isotope Tracing In Vivo Reveals A Metabolic Bridge Linking The Microbiota To Host Histone Acetylation

P. J. Lund, L. A. Gates, M. Leboeuf, S. A. Smith, L. Chau, E. S. Friedman, M. Lopes, Y. Saiman, M. S. Kim, C. Petucci, C. D. Allis, G. D. Wu, B. A. Garcia

This study uses stable isotope tracing to show that gut microbiota supply carbon for host histone acetylation, linking microbial metabolism to host epigenetic regulation.

bioRxiv · Jul 5, 2021Biochemistry