ArticleScientific reports2019
Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning.Scientific reports · 2023Article
- Principles and advances in ultrafast photoacoustics; applications to imaging cell mechanics and to probing cell nanostructure.Photoacoustics · 2023Article
- Dispersive coherent Brillouin scattering spectroscopy.Photoacoustics · 2023Article
- Changes in intra-nuclear mechanics in response to DNA damaging agents revealed by time-domain Brillouin micro-spectroscopy.Photoacoustics · 2022Article
- Phonon imaging in 3D with a fibre probe.Light, science & applications · 2021Article
- 3D phonon microscopy with sub-micron axial-resolution.Scientific reports · 2021Article
- Correlative Imaging of Motoneuronal Cell Elasticity by Pump and Probe Spectroscopy.Biophysical journal · 2021Article
- Nano-scientific Application of Atomic Force Microscopy in Pathology: from Molecules to Tissues.International journal of medical sciences · 2020Review
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Authors and funding
12 authors.
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Abstract
Cell morphological analysis has long been used in cell biology and physiology for abnormality identification, early cancer detection, and dynamic change analysis under specific environmental stresses. This work reports on the remote mapping of cell 3D morphology with an in-plane resolution limited by optics and an out-of-plane accuracy down to a tenth of the optical wavelength. For this, GHz coherent acoustic phonons and their resonance harmonics were tracked by means of an ultrafast opto-acoustic technique. After illustrating the measurement accuracy with cell-mimetic polymer films we map the 3D morphology of an entire osteosarcoma cell. The resulting image complies with the image obtained by standard atomic force microscopy, and both reveal very close roughness mean values. In addition, while scanning macrophages and monocytes, we demonstrate an enhanced contrast of thickness mapping by taking advantage of the detection of high-frequency resonance harmonics. Illustrations are given with the remote quantitative imaging of the nucleus thickness gradient of migrating monocyte cells.
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