1.Competence Center for Biomedical Computational Laser Systems (BIOLAS), TU Dresden, Dresden, Germany
2.Laboratory of Measurement and Sensor System Technique (MST), TU Dresden, Helmholtzstrasse 18, 01069, Dresden, Germany
3.Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany
4.Institute of Applied Physics, TU Dresden, Dresden, Germany
Juergen W. Czarske (juergen.czarske@tu-dresden.de)
纸质出版日期:2023-6-30,
网络出版日期:2023-5-17,
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Compressive holographic sensing simplifies quantitative phase imaging[J]. 光:科学与应用, 2023,12(6):946-948.
Sun, J. W. & Czarske, J. W. Compressive holographic sensing simplifies quantitative phase imaging. Light: Science & Applications, 12, 946-948 (2023).
Compressive holographic sensing simplifies quantitative phase imaging[J]. 光:科学与应用, 2023,12(6):946-948. DOI: 10.1038/s41377-023-01145-y.
Sun, J. W. & Czarske, J. W. Compressive holographic sensing simplifies quantitative phase imaging. Light: Science & Applications, 12, 946-948 (2023). DOI: 10.1038/s41377-023-01145-y.
Quantitative phase imaging (QPI) has emerged as method for investigating biological specimen and technical objects. However
conventional methods often suffer from shortcomings in image quality
such as the twin image artifact. A novel computational framework for QPI is presented with high quality inline holographic imaging from a single intensity image. This paradigm shift is promising for advanced QPI of cells and tissues.
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