Marc P. Raphael

United States Naval Research Laboratory — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

16h-index1.2kcitations68works1.12yr avg
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Research Topics

Cell Image Analysis Techniques(17), Nanofabrication and Lithography Techniques(12), Cellular Mechanics and Interactions(10), Image Processing Techniques and Applications(9), Physics of Superconductivity and Magnetism(8)

Publications68 total

Optical Analysis of Cyclic Voltammetry of Ferrocenemethanol: A Comparative Study of SPR and LSPR
Langmuir·2026Open Access
<i>Hura </i><i>crepitans</i> L. Seed Oil-Based Medium Oil Alkyd Resin/Calcined Clay Reinforced Bio-Composites: Synthesis, Characterization and Molecular Weight Determination
Green and Sustainable Chemistry·2026Open Access
Directing Cell Phenotype: Quantitative Single-Cell Migration Assay Leveraging Tunable Extracellular Surfaces
Langmuir·2025· 2 citedOpen Access
A self-supervised learning approach for high throughput and high content cell segmentation
Communications Biology·2025· 5 citedOpen Access
Hura crepitans L. seed oil-based medium oil alkyd resin/calcined clay reinforced bio-composites: Synthesis, characterization and molecular weight determination
SSRN Electronic Journal·2025Open Access
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
2024Open Access
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
2024Open Access
ANALYZING FACTORS AFFECTING ECONOMIC GROWTH AND EVALUATING THE MACROECONOMIC MODEL IN ZAMBIA
Флагман науки·2024Open Access
Topographical depth reveals contact guidance mechanism distinct from focal adhesion confinement
Cytoskeleton·2024· 3 citedOpen Access
Hs27 fibroblast response to contact guidance cues
Scientific Reports·2023Open Access
Hs27 Fibroblast Response to Contact Guidance Cues
Research Square (Research Square)·2023Open Access
Automated cell segmentation for reproducibility in bioimage analysis
Synthetic Biology·2023· 5 citedOpen Access
Data sets for "Automated cell segmentation for reproducibility in bioimage analysis"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Data sets for "Automated cell segmentation for reproducibility in bioimage analysis"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Self-supervised machine learning for live cell imagery segmentation
Communications Biology·2022· 23 citedOpen Access
Robust optical flow algorithm for general single cell segmentation
PLoS ONE·2022· 11 citedOpen Access
Interfacing Live Cells with Surfaces: A Concurrent Control Technique for Quantifying Surface Ligand Activity
ACS Applied Bio Materials·2021· 5 cited
A Self-Supervised Machine Learning Approach for Objective Live Cell Segmentation and Analysis
2021· 1 citedOpen Access
Data Set for 'Self-Supervised Machine Learning for Live Cell Imagery Segmentation'
2021Open Access
Data Set for 'Self-Supervised Machine Learning for Live Cell Imagery Segmentation'
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
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Frequent Co-authors

Joseph A. Christodoulides(32), Jeff M. Byers(28), Michael C. Robitaille(21), James B. Delehanty(8), Vincent G. Harris(5), Deepa Raghu(5), Jinny L. Liu(5), Wonmo Kang(5), Bruce Ravel(4), James P. Long(4), E. F. Skelton(4), Patrick J. Calhoun(4), Jeff D. Byers(4), Shuo Cheng(3), B. N. Das(3), M. Christophersen(3), George P. Anderson(3), Syed N. Qadri(3), Jinny Liu(3), M. E. Reeves(3)