Data-Clustering Analysis of Scanning Ultrafast Acoustic Experiments: Revealing Acoustic and Structural Properties of a Motoneuron - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Physical Review Applied Année : 2022

Data-Clustering Analysis of Scanning Ultrafast Acoustic Experiments: Revealing Acoustic and Structural Properties of a Motoneuron

Résumé

Ultrafast acoustic imaging experiments are a powerful tool to investigate, at the nanometer scale, cell mechanical properties such as stiffness, viscosity, and adhesion, properties that play some roles in the life and death of cells. However, due to cell complex structures, the ultrafast acoustic signal analysis is quite intricate and depends on multiple parameters. Complex data analysis with poorly known parameters can be handled by a data clustering method as already shown in particle physics and biology. In this work, ultrafast acoustic data analysis is tackled by a spectral clustering method followed by a hierarchical agglomerating method. Coupled to conventional microscopy performed on the very same cell, the clustered data can be assigned to inner-cell features such as the nucleus, the cytoplasm, and the cytoskeleton. The signal dependency on the cell thickness and stiffness is highlighted. Moreover, thanks to the improvement of the signal-to-noise ratio, the nature of the adhesion is also assessed through observation and characterization of a polymerlike layer as thin as a few nanometers.
Fichier principal
Vignette du fichier
PhysRevApplied.18.034051.pdf (4.25 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03864289 , version 2 (21-11-2022)
hal-03864289 , version 1 (26-11-2022)

Identifiants

Citer

Emmanuel Péronne, Océane Sénépart, Claire Legay, Fanny Semprez, Ahmed Hamraoui, et al.. Data-Clustering Analysis of Scanning Ultrafast Acoustic Experiments: Revealing Acoustic and Structural Properties of a Motoneuron. Physical Review Applied, 2022, 18, ⟨10.1103/physrevapplied.18.034051⟩. ⟨hal-03864289v2⟩
136 Consultations
55 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More