1
|
Huang M, Liu W, Sun G, Shi C, Liu X, Han K, Liu S, Wang Z, Xie Z, Guo Q. Unveiling precision: a data-driven approach to enhance photoacoustic imaging with sparse data. BIOMEDICAL OPTICS EXPRESS 2024; 15:28-43. [PMID: 38223183 PMCID: PMC10783920 DOI: 10.1364/boe.506334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/31/2023] [Accepted: 11/21/2023] [Indexed: 01/16/2024]
Abstract
This study presents the Fourier Decay Perception Generative Adversarial Network (FDP-GAN), an innovative approach dedicated to alleviating limitations in photoacoustic imaging stemming from restricted sensor availability and biological tissue heterogeneity. By integrating diverse photoacoustic data, FDP-GAN notably enhances image fidelity and reduces artifacts, particularly in scenarios of low sampling. Its demonstrated effectiveness highlights its potential for substantial contributions to clinical applications, marking a significant stride in addressing pertinent challenges within the realm of photoacoustic acquisition techniques.
Collapse
Affiliation(s)
- Mengyuan Huang
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Wu Liu
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Guocheng Sun
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Chaojing Shi
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Xi Liu
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Kaitai Han
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Shitou Liu
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Zijun Wang
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| | - Zhennian Xie
- Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, China
| | - Qianjin Guo
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China
- School of Mechanical Engineering & Hydrogen Energy Research Centre, Beijing Institute of Petrochemical Technology, Beijing 102617, China
| |
Collapse
|
2
|
Dunning J, Patil A, D'Alba L, Bond AL, Debruyn G, Dhinojwala A, Shawkey M, Jenni L. How woodcocks produce the most brilliant white plumage patches among the birds. J R Soc Interface 2023; 20:20220920. [PMID: 36854381 PMCID: PMC9974297 DOI: 10.1098/rsif.2022.0920] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
Until recently, and when compared with diurnal birds that use contrasting plumage patches and complex feather structures to convey visual information, communication in nocturnal and crepuscular species was considered to follow acoustic and chemical channels. However, many birds that are active in low-light environments have evolved intensely white plumage patches within otherwise inconspicuous plumages. We used spectrophotometry, electron microscopy, and optical modelling to explain the mechanisms producing bright white tail feather tips of the Eurasian woodcock Scolopax rusticola. Their diffuse reflectance was approximately 30% higher than any previously measured feather. This intense reflectance is the result of incoherent light scattering from a disordered nanostructure composed of keratin and air within the barb rami. In addition, the flattening, thickening and arrangement of those barbs create a Venetian-blind-like macrostructure that enhances the surface area for light reflection. We suggest that the woodcocks have evolved these bright white feather patches for long-range visual communication in dimly lit environments.
Collapse
Affiliation(s)
- Jamie Dunning
- Department of Life Sciences, Imperial College London, London, UK
| | - Anvay Patil
- School of Polymer Science and Polymer Engineering, The University of Akron, Akron, OH, USA,CertainTeed LLC, Malvern, PA, USA
| | - Liliana D'Alba
- Department of Biology, Evolution and Optics of Nanostructure Group, University of Ghent, Gent 9000, Belgium,Naturalis Biodiversity Center, Leiden, The Netherlands
| | | | - Gerben Debruyn
- Department of Biology, Evolution and Optics of Nanostructure Group, University of Ghent, Gent 9000, Belgium
| | - Ali Dhinojwala
- School of Polymer Science and Polymer Engineering, The University of Akron, Akron, OH, USA
| | - Matthew Shawkey
- Department of Biology, Evolution and Optics of Nanostructure Group, University of Ghent, Gent 9000, Belgium
| | - Lukas Jenni
- Swiss Ornithological Institute, Sempach, Switzerland
| |
Collapse
|