Author

S. A. Boppart

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 Biophysics· 1 Pathology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

C. Zhang· 2 shared B. M. Rowitz· 1 shared C. Wang· 1 shared D. Kang· 1 shared F. Fu· 1 shared G. Xi· 1 shared H. Tu· 1 shared J. Chen· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersPhysiology

C. Zhang

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4 papers

Recent·Most cited

Tunable image-mapping optical coherence tomography

J. Lee, X. Du, J. Park, Q. Cui, R. R. Iyer, S. A. Boppart, L. Gao

This paper introduces TIM-OCT, a tunable imaging technique that provides high resolution in either lateral or axial dimensions or across all dimensions, and demonstrates its application on biological samples.

bioRxiv · Oct 1, 2022Bioengineering

Wound-like tumor periphery in human breast cancer predicts a convergent drug nonresponse

L. Li, X. Liao, F. Fu, G. Xi, D. Kang, J. He, W. Guo, L. Qiu, Z. Han, X. Wang, Q. Zhan, S. You, J. Chen, C. Wang, S. A. Boppart, H. Tu

The paper identifies a wound-like tumor periphery in breast cancer as a uniparameter marker predicting multidrug nonresponse and poor prognosis across molecular subtypes.

bioRxiv · Nov 2, 2021 · PreprintPathology

Bile acid excess impairs thermogenic function in brown adipose tissue

W. Zhou, P. VanDuyne, C. Zhang, R. Riessen, M. Barragan, B. M. Rowitz, M. Teran-Garcia, S. A. Boppart, S. Anakk

This study shows that bile acid overload in a mouse model impairs brown adipose tissue thermogenic function, with mitochondrial dysfunction and senescence gene induction.

bioRxiv · Nov 24, 2020 · PreprintPhysiology

Dynamic signatures of lipid droplets as new markers to quantify cellular metabolic changes

C. Zhang, S. A. Boppart

This study shows that lipid droplet dynamics can quantify cellular metabolic changes by analyzing their displacement, speed, and directionality using label-free microscopy.

bioRxiv · Jul 28, 2020Biophysics