P
Paul C. Beard
Researcher at University College London
Publications - 285
Citations - 14059
Paul C. Beard is an academic researcher from University College London. The author has contributed to research in topics: Ultrasonic sensor & Interferometry. The author has an hindex of 51, co-authored 263 publications receiving 12026 citations. Previous affiliations of Paul C. Beard include Engineering and Physical Sciences Research Council.
Papers
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Biomedical photoacoustic imaging
TL;DR: The underlying physical principles of the technique, its practical implementation, and a range of clinical and preclinical applications are reviewed.
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Contrast agents for molecular photoacoustic imaging
TL;DR: The physical, chemical and biochemical characteristics of the existing photoacoustic contrast agents are critically reviewed, highlighting key applications and present challenges for molecular PAI.
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Quantitative spectroscopic photoacoustic imaging: a review.
TL;DR: This topic, known as quantitative photoacoustic imaging, is reviewed here and the inverse problems involved are described, their nature is discussed, proposed solution techniques and their limitations are explained, and the remaining unsolved challenges are introduced.
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Backward-mode multiwavelength photoacoustic scanner using a planar Fabry-Perot polymer film ultrasound sensor for high-resolution three-dimensional imaging of biological tissues
TL;DR: It is considered that this type of instrument may provide a practicable alternative to piezoelectric-based photoacoustic systems for high-resolution structural and functional imaging of the skin microvasculature and other superficial structures.
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Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter
Amit P. Jathoul,Jan Laufer,Jan Laufer,Jan Laufer,Olumide Ogunlade,Bradley E. Treeby,Ben T. Cox,Edward Z. Zhang,Peter Johnson,Arnold Pizzey,Brian Philip,Teresa Marafioti,Mark F. Lythgoe,R. Barbara Pedley,Martin Pule,Paul C. Beard +15 more
TL;DR: Deep photoacoustic imaging of mammalian cells featuring genetically encoded contrast is reported, and the results are reported to be consistent with previous studies of this type of imaging.