Author

E. Powell

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 Cell Biology· 1 Immunology· 1 Microbiology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Assay:imaging· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Approach:genetic perturbation / CRISPR· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

A. Ahrens· 1 shared A. Boettcher· 1 shared A. Cameron· 1 shared A. G. Cino-Ozuna· 1 shared A. Jackson-Fisher· 1 shared A. Jain· 1 shared A. Jones· 1 shared A. Palara· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperImmunology

A. Ahrens

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Accurate identification of cancer cells in complex pre-clinical models using deep-learning: a transfection free approach.

M. Cortesi, D. Liu, E. Powell, E. Barlow, K. Warton, C. E. Ford

ORACLE, a deep-learning model, accurately identifies ovarian cancer cells from healthy cells in 3D co-cultures using nuclear shape, outperforming existing methods.

bioRxiv · Oct 15, 2023 · PreprintBioengineering

Blood-brain barrier water exchange measurements using contrast-enhanced ASL

E. Powell, B. R. Dickie, Y. Ohene, G. J. Parker, L. M. Parkes

This paper presents a method to measure blood-brain barrier water exchange rates using contrast-enhanced ASL, showing high accuracy in simulations and initial human data.

bioRxiv · Feb 16, 2023Biophysics

Pixelwise H-score: a novel digital image analysis based-metric to quantify membrane biomarker expression from immunohistochemistry images

S. Ram, P. Vizcarra, P. Whalen, S. Deng, A. Jackson-Fisher, S. Pirie-Shepherd, X. Xia, E. Powell

This paper introduces a new digital image analysis metric, the pixelwise H-score, to quantify membrane biomarker expression in IHC images, showing it is comparable or better than existing methods.

bioRxiv · Jan 6, 2021Pathology

Comparative analysis of macrophage post-translational modifications during intracellular bacterial pathogen infection

J. R. Johnson, T. Parry, T. Repasy, K. M. Geiger, E. Verschueren, J. M. Budzik, D. Jimenez-Morales, B. W. Newton, E. Powell, L. Coscoy, D. A. Portnoy, N. J. Krogan, J. S. Cox

This study uses proteomics to analyze post-translational modifications in macrophages infected with three intracellular pathogens, revealing pathogen-specific molecular responses and a novel mechanism of virus-bacterial synergy.

bioRxiv · May 27, 2020 · PreprintMicrobiology

Novel engraftment and T cell differentiation of human hematopoietic cells in Art-/- IL2RG-/ SCID pigs

A. Boettcher, Y. Li, A. Ahrens, M. Kiupel, K. Byrne, C. Loving, A. G. Cino-Ozuna, J. Wiarda, M. Adur, B. Schultz, J. Swanson, E. Snella, C.-S. Ho, S. Charley, Z. Kiefer, , C. Tuggle

The paper generates a T-B-NK-SCID pig model via CRISPR/Cas9 and demonstrates successful human hematopoietic cell engraftment in blood and lymphoid organs after in utero injection.

bioRxiv · May 2, 2019 · PreprintImmunology

Atg8a interacts with transcription factor Sequoia to control the expression of autophagy genes in Drosophila

A.-C. Jacomin, S. Petridi, M. DiMonaco, A. Jain, Z. Bhujabal, N. Mulakkal, A. Palara, E. Powell, B. Chung, C. Zampronio, A. Jones, A. Cameron, T. Johansen, I. Nezis

This study identifies Atg8a's interaction with Sequoia and other proteins to regulate autophagy gene expression in Drosophila.

bioRxiv · Apr 17, 2019 · PreprintCell Biology