Author

P. W. Sweeney

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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Biophysics· 3 Bioengineering· 2 Cancer Biology· 1 Evolutionary Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 6 Organism:mouse· 5 Approach:statistical model· 5 Approach:deep learning· 4 Research Focus:clustering· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2

Frequent Co-Authors

E. L. Brown· 3 shared L. Hacker· 3 shared R. J. Shipley· 3 shared S. E. Bohndiek· 3 shared S. Walker-Samuel· 3 shared T. L. Lefebvre· 3 shared C. Walsh· 2 shared J. Gröhl· 2 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersBioengineering

E. L. Brown

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Author profile →

8 papers

Recent·Most cited

Unsupervised segmentation of 3D microvascular photoacoustic images using deep generative learning

P. W. Sweeney, L. Hacker, T. L. Lefebvre, E. L. Brown, J. Gröhl, S. E. Bohndiek

This paper introduces an unsupervised deep learning model for segmenting 3D vascular networks from photoacoustic images without requiring manual labels.

bioRxiv · Apr 30, 2023Biophysics

A three-dimensional, discrete-continuum model of blood pressure in microvascular networks

P. W. Sweeney, C. Walsh, S. Walker-Samuel, R. J. Shipley

The paper develops a 3D discrete-continuum model to simulate blood pressure in microvascular tissues without known capillary architecture, validated using mouse brain vascular network data.

bioRxiv · Nov 23, 2022Biophysics

Performance evaluation of mesoscopic photoacoustic imaging

L. Hacker, E. L. Brown, T. L. Lefebvre, P. W. Sweeney, S. E. Bohndiek

This study evaluates the performance of a commercial photoacoustic mesoscopy system, showing high precision with low coefficients of variation but highlighting challenges in imaging vessel-like structures.

bioRxiv · Oct 17, 2022Bioengineering

Quantification of vascular networks in photoacoustic mesoscopy

E. L. Brown, T. L. Lefebvre, P. W. Sweeney, B. Stolz, J. Gröhl, L. Hacker, Z. Huang, H. Harrington, H. Byrne, S. E. Bohndiek

This paper develops a framework to quantify 3D vascular networks using mesoscopic photoacoustic imaging and evaluates segmentation methods for accuracy.

bioRxiv · Nov 22, 2021Bioengineering

Multi-fluorescence high-resolution episcopic microscopy (MF-HREM) for three dimensional imaging of adult murine organs

C. Walsh, N. Holroyd, E. Finnerty, S. G. Ryan, P. W. Sweeney, R. J. Shipley, S. Walker-Samuel

This paper introduces MF-HREM, a 3D imaging technique for large biological samples, enabling multi-fluorescent staining and quantification in various biological contexts.

bioRxiv · Apr 3, 2020Biophysics

Joint phylogenetic estimation of geographic movements and biome shifts during the global diversification of Viburnum

M. J. Landis, D. A. R. Eaton, W. L. Clement, B. Park, E. L. Spriggs, P. W. Sweeney, E. J. Edwards, M. J. Donoghue

This study jointly estimates the phylogeny, geographic movements, and biome shifts of Viburnum species using fossils and molecular data, revealing a complex diversification history.

bioRxiv · Oct 21, 2019Evolutionary Biology

Modelling the transport of fluid through heterogeneous, whole tumours in silico

P. W. Sweeney, A. d'Esposito, S. Walker-Samuel, R. J. Shipley

This paper develops a computational framework to simulate fluid transport in whole tumours, incorporating vascular architecture to predict interstitial fluid dynamics and inform cancer therapy design.

bioRxiv · Jan 4, 2019Cancer Biology

Widespread sampling biases in herbaria revealed from large-scale digitization

B. H. Daru, D. S. Park, R. Primack, C. G. Willis, D. S. Barrington, T. J. S. Whitfeld, T. G. Seidler, P. W. Sweeney, D. R. Foster, A. M. Ellison, C. C. Davis

This study identifies widespread sampling biases in herbarium records from three digitized floras, revealing shared and regional-specific patterns that may affect ecological and evolutionary conclusions.

bioRxiv · Jul 18, 2017Plant Biology